H is available for hire
Hire HH M Naimuzzaman Shuvo
Verified Expert in Engineering
Full-stack Developer
Savar, Dhaka Division, Bangladesh
Toptal member since June 3, 2026
Bio
Senior Full Stack AI agent engineer with 7+ years shipping production software end to end; voice agents, banking automation, and real-time, data-heavy UI. Lead Frontend Engineer of a multi-million dollar Data Visualization & AI research company in the US; Founding Backend Engineer of a EU fintech platform connecting with 30+ European banks; Solutions Architect of a multi-tenant ERP POS solution serving 200+ businesses in India. I build the agent loop and the whole production system it runs on.
Portfolio
Product Builders Academy
Agentic AI, Agent Skills, Model Context Protocol (MCP), Claude Code...
Datatailr
OpenAPI, Swagger, GraphQL, React Apollo, Data Visualization, TypeScript, React...
Neoke
React Native, TypeScript, React, Node.js, Tailwind CSS, API Development, GitHub...
Experience
- Node.js - 7 years
- React - 7 years
- WebSockets - 7 years
- WebRTC - 7 years
- TypeScript - 7 years
- React Native - 6 years
- NestJS - 4 years
- AI Agents - 2 years
Preferred Environment
TypeScript, Node.js, React, React Native, NestJS, Prisma, Tailwind CSS, PostgreSQL, daisyUI, React Query
The most amazing...
...moment was when a restaurant's internet died mid-service, but the POS kept running. The offline desktop app I built with embedded Node.js and MariaDB worked.
Work Experience
AI Agent Engineer
2026 - 2026
Product Builders Academy
- Designed and shipped six production AI-agent systems in 2026 — voice tutors, a research agent, and an autonomous product-demo tool — owning each from the agent loop to the back end and deploying.
- Built Understudy: point it at any live web app and it auto-produces a narrated demo video, a guided tour, and an offline interactive sandbox; installs as a Claude Code / Cursor skill.
- Deployed a Bengali TTS stack — Fish-Speech S2 with zero-shot voice cloning on an RTX 3090 (patched SGLang-Omni to fit ~16 GB), after an earlier XTTS-v2 fine-tune — alongside real-time voice pipelines on LiveKit / Pipecat with sub-second latency tuning.
Technologies: Agentic AI, Agent Skills, Model Context Protocol (MCP), Claude Code, Agentic Coding, User Experience (UX), Microservices, Large Language Model Operations (LLMOps), Multi-agent Orchestration, UX Design, Event Streaming, Vector Databases, Design Systems, Microfrontends, Agentic AI Systems, Front-end Architecture
Lead Front-end in Data Visualization & AI Research
2024 - 2026
Datatailr
- Architected and built the full React 19 front end for a container orchestration platform (Docker jobs, DAG workflows)—20+ routes, 270+ modules—with type-safe Apollo GraphQL and REST API via codegen and validation with Zod.
- Shipped workflow visualization (DAG graph with React Flow and Dagre, Gantt with Recharts, ANSI log viewer) so users can inspect run topology, timing, and logs in one place.
- Built reusable DataGrid (sort, resize/reorder, context menu, pagination), cursor-based pagination with reset-on-filter, and URL-synced, Zod-validated filters for shareable list URLs.
- Established API-to-UI strong type safety using GraphQL Codegen and Orval for OpenAPI-to-React Query hooks and Zod, reducing runtime errors and accelerating feature development.
- Implemented role-based access (admin, developer, user), injectable navbar/footer, URL-driven UI action for deep-linkable modals.
- Improved performance with tiered polling, visibility-based polling, exponential backoff for Workspace Connect, and TanStack Query/Apollo defaults with targeted overrides.
Technologies: OpenAPI, Swagger, GraphQL, React Apollo, Data Visualization, TypeScript, React, Tailwind CSS, daisyUI, React Query, React Flow, Zod, LLM Integration, Cursor AI, HTML5, JavaScript, CSS, Performance Optimization, REST APIs, Project Leadership, Technical Leadership, HTML, API Integration, Integration, APIs, Architecture, Command-line Interface (CLI), Software Architecture, Authorization, Figma, Startups, React Testing Library, Jest, Cypress, CI/CD Pipelines, OpenAI, GitHub, Security, Application State Management, Distributed Systems, Scalability, Communication, Tailwind UI, OpenAI API, Role-based Access Control (RBAC), Minimum Viable Product (MVP), Code Review, Code Auditing, Debugging, Multi-tenant Architecture, API Documentation, JSON, Data Structures, CTO, Fractional CTO, Solution Architecture, Dashboards, Front-end, Charts, D3.js, Highcharts, RESTFul APIs, Infrastructure, Git, GraphQL API, JSON Web Tokens (JWT), Docker, Generative Artificial Intelligence (GenAI), Website Performance, Front-end Development, User Interface (UI), Automated Testing, RESTful Web Services, Admin Panels, Dashboard Development, Scalable Architecture, Agentic Coding, User Experience (UX), Large Language Model Operations (LLMOps), UX Design, Event Streaming, Design Systems, Microfrontends, Agentic AI Systems, Front-end Architecture
Senior React Native Engineer
2023 - 2024
Neoke
- Built core features of Neoke's digital identity wallet for travelers, enabling secure storage and management of verifiable credentials, including passports, visas, and boarding passes.
- Developed full-stack functionality across the wallet's React Native and TypeScript front end and Node.js back end, working within W3C Verifiable Credentials and open identity standards.
- Implemented credential presentation and consent flows, allowing travelers to selectively share identity data with airlines and airports while retaining privacy control.
- Collaborated with a distributed EU-based team at a seed-funded identity startup validated through IATA pilots with major airlines and airports.
Technologies: React Native, TypeScript, React, Node.js, Tailwind CSS, API Development, GitHub, Back-end Architecture, Back-end Development, Database Design, SaaS Architecture, REST APIs, Security, Application State Management, Distributed Systems, Scalability, Communication, Tailwind UI, Minimum Viable Product (MVP), Debugging, POS, Multi-tenant Architecture, JSON, System Integration, Data Structures, Solution Architecture, Zapier, n8n, Front-end, RESTFul APIs, Data Privacy, Infrastructure, Know Your Customer (KYC), Deployment, Git, JSON Web Tokens (JWT), OAuth, Website Performance, Blockchain, Front-end Development, User Interface (UI), RESTful Web Services, Admin Panels, Dashboard Development, Scalable Architecture, User Experience (UX), Microservices, UX Design, Design Systems, Microfrontends, Front-end Architecture
Founding Back-end Engineer in Fintech
2021 - 2023
Dynt
- Integrated GoCardless API for open banking services, providing secure accounts data access and payment initiation for customers across 30+ European banks and financial institutions.
- Engineered an automated invoice and bill processing system with OCR, decreasing processing time by 85% with detailed accuracy.
- Created a robust expense management system with real-time approval workflows, enabling efficient management of employee spending, streamlining expense management, and enhancing transparency for businesses.
- Developed a corporate card issuance system, utilizing Stripe's API for seamless generation and management of corporate payment cards.
- Introduced advanced automation workflows for categorization and reconciliation tools to match transactions seamlessly, reducing manual workload by 90%, enhancing efficiency in financial tracking, and ensuring accurate financial records.
Technologies: Open Banking APIs, Stripe API, Gocardless API, Swan.io, Yapily API, Workflow Automation, AI Agents, CrewAI, LangChain, Prisma, React, tRPC, React Native, Optical Character Recognition (OCR), Expense Management, PostgreSQL, TypeScript, GraphQL, React Apollo, Tailwind CSS, daisyUI, React Query, Zod, LLM Integration, Supabase, Node.js, HTML5, Full-stack, Full-stack Development, JavaScript, Express.js, CSS, Webhooks, Microservices Architecture, Performance Optimization, Code Refactoring, REST APIs, Project Leadership, Technical Leadership, SaaS, Large Language Models (LLMs), Artificial Intelligence (AI), AI Integration, SQL, Stripe, HTML, Resend, Python, AI Tools, API Integration, Agentic AI, Integration, App Development, API Design, APIs, Architecture, Back-end, Software Architecture, System Architecture, ChatGPT, Authorization, Authentication, Startups, React Testing Library, Cypress, App Design, Vercel, Sentry, OpenAI, Geolocation, GitHub, Back-end Architecture, Back-end Development, Database Design, Fintech, Payment Processing, SaaS Architecture, Financials, Security, Application State Management, Distributed Systems, Scalability, Communication, Tailwind UI, OpenAI API, Role-based Access Control (RBAC), Cloud Infrastructure, Minimum Viable Product (MVP), Code Review, Code Auditing, Debugging, Database Architecture, Event-driven Architecture, Multi-tenant Architecture, API Documentation, JSON, System Integration, CRM, Data Structures, Solution Architecture, Zapier, n8n, Google Cloud, MySQL, Dashboards, Front-end, Charts, RESTFul APIs, Data Privacy, ACID, Event-driven Systems, Infrastructure, Know Your Customer (KYC), Ledgers, Money Transfers, Payment APIs, Payments, QR Codes, Stripe Connect, Transactions, Cloud Deployment, Databases, Deployment, Git, GraphQL API, JSON Web Tokens (JWT), OAuth, Cloud, Generative Artificial Intelligence (GenAI), Website Performance, Data Modeling, Front-end Development, User Interface (UI), Automated Testing, RESTful Web Services, Admin Panels, Dashboard Development, Database Structure, Scalable Architecture, User Experience (UX), Microservices, Redis, Large Language Model Operations (LLMOps), Financial Data, UX Design, Event Streaming, Design Systems, Microfrontends, Agentic AI Systems, Front-end Architecture
ERP Solutions Architect
2019 - 2021
Possier
- Designed and implemented a cross-platform ERP POS management system with real-time data synchronization for 200+ clients single-handedly, enhancing efficiency and customer experience.
- Developed a robust offline ordering desktop app by embedding Node.js and MariaDB into a Windows binary, ensuring uninterrupted service and increasing the system’s reliability by 50%.
- Reduced AWS cloud operation costs by 70% and improved system performance by managing EC2, S3, and Lambda services.
- Integrated Stripe, Google Maps, and Twilio API to facilitate payments, location tracking, and SMS notifications.
Technologies: NestJS, Tauri, React Native, MariaDB, WebSockets, WebRTC, AWS IoT, Google Maps SDK, Twilio API, Stripe API, Next.js, Data Visualization, TypeScript, React, Tailwind CSS, React Query, Prisma, PostgreSQL, LLM Integration, Node.js, Socket.IO, HTML5, Android, iOS, Full-stack, Amazon Web Services (AWS), Full-stack Development, JavaScript, Video Processing, Express.js, RabbitMQ, BullMQ, CSS, Webhooks, Microservices Architecture, Performance Optimization, Code Refactoring, REST APIs, Amazon S3 (AWS S3), AWS Lambda, Project Leadership, Technical Leadership, SaaS, Real-time Data, SQL, HTML, MongoDB, AI Tools, API Integration, Integration, MySQL, App Development, API Design, APIs, Architecture, Back-end, Software Architecture, System Architecture, ChatGPT, Authorization, Authentication, Figma, Startups, Redux, App Design, Stripe, OpenAI, Firebase, Geolocation, API Development, Web Crawlers, Google Maps API, Maps, Scraping, GitHub, AWS Cloud Architecture, Back-end Architecture, Back-end Development, Database Design, Fintech, Payment Processing, SaaS Architecture, Domain Migration, Security, Application State Management, Distributed Systems, Scalability, Communication, Tailwind UI, Workflow Automation, OpenAI API, Role-based Access Control (RBAC), Cloud Infrastructure, Minimum Viable Product (MVP), Code Review, Code Auditing, Debugging, Database Architecture, Event-driven Architecture, POS, Multi-tenant Architecture, API Documentation, JSON, Shopify API, System Integration, CRM, Data Structures, Shopify, eCommerce, Solution Architecture, Zoho, Dashboards, Front-end, Charts, RESTFul APIs, ACID, Event-driven Systems, Infrastructure, Payment APIs, Payments, QR Codes, Stripe Connect, NoSQL, Cloud Deployment, Databases, Deployment, Git, Marketplaces, JSON Web Tokens (JWT), OAuth, Webpack, Cloud, Generative Artificial Intelligence (GenAI), Website Performance, Data Modeling, Front-end Development, User Interface (UI), RESTful Web Services, Admin Panels, Dashboard Development, Database Structure, Scalable Architecture, User Experience (UX), Apache Kafka, Microservices, Redis, Large-scale Web Crawlers, Web Scraping, UX Design, Event Streaming, Design Systems, Microfrontends, Front-end Architecture
Experience
Mr. Topper - real-time AI voice tutor
A real-time AI voice tutor in React Native for Bangladeshi higher secondary students.
I architected and built end-to-end: a Python back end (FastAPI and Supabase) that orchestrates Pipecat bot subprocesses connected to LiveKit rooms for sub-second voice, with Gemini 3 Flash Preview as the LLM brain and Google Cloud TTS/STT for audio. The mobile app (React Native and Expo, NativeWind v4) renders a live whiteboard on which the bot draws via structured tool calls, with full pause-and-resume across sessions. The bot's LLMContext snapshots persist per turn, allowing seamless rehydration on resume with prior board state.
I designed a chapter-scoped lesson lifecycle and a 2-stage post-session analyzer that runs Gemini structured-output passes to (1) audit each session and (2) maintain rolling per-chapter mastery state used to personalize the next session. I also designed the entire UX—an Apple-Fitness-inspired system spanning Summary, Learn, Practice, and Notes tabs, with bilingual rules (Bangla content, English chrome) baked into a locked design token palette.
I architected and built end-to-end: a Python back end (FastAPI and Supabase) that orchestrates Pipecat bot subprocesses connected to LiveKit rooms for sub-second voice, with Gemini 3 Flash Preview as the LLM brain and Google Cloud TTS/STT for audio. The mobile app (React Native and Expo, NativeWind v4) renders a live whiteboard on which the bot draws via structured tool calls, with full pause-and-resume across sessions. The bot's LLMContext snapshots persist per turn, allowing seamless rehydration on resume with prior board state.
I designed a chapter-scoped lesson lifecycle and a 2-stage post-session analyzer that runs Gemini structured-output passes to (1) audit each session and (2) maintain rolling per-chapter mastery state used to personalize the next session. I also designed the entire UX—an Apple-Fitness-inspired system spanning Summary, Learn, Practice, and Notes tabs, with bilingual rules (Bangla content, English chrome) baked into a locked design token palette.
Mirars - an AI Agent that Runs the Whole Study
I built an AI agent platform that automates qualitative market research: founders draft an ideal customer profile, the system recruits candidates from the open web via neural search, conducts voice interviews, and synthesizes findings into a structured, strict LLM output. The differentiator—a single tool registry exposed simultaneously over both a chat-completions HTTP API and a Model Context Protocol (MCP) server, so the same capabilities work from a custom web UI or any MCP client (Claude Code and Cursor) with zero duplication. I also designed device-flow authentication via URL-mode elicitation, lazy refresh-on-read for cross-interview synthesis, and client-agent ICP judgment to eliminate redundant LLM calls.
CodeFiz - Real-time Collaborative Coding Platform
I built an all-in-one platform for live code collaboration and technical interviews. It combines a real-time collaborative code editor, multi-language code execution (JavaScript, TypeScript, and Python), WebRTC video and chat, a live drawing canvas, and a rich-text document editor in token-based rooms that require no login. I implemented real-time synchronization with Socket.io, video with Agora, and sandboxed code execution through Node.js child processes.
Understudy – Any Web App, Demoed with AI
An installable AI agent skill that turns any live web app into a narrated product walkthrough. The pipeline crawls the target with Browserbase and Stagehand, selects the most relevant states for a chosen persona using Gemini Flash vision, generates a voice-over with Gemini TTS, and composes an HTML preview and an MP4 with FFmpeg. I designed the BFS crawler with state-level deduplication, the structured-output selection pipeline, and the FastAPI orchestrator powering both the agent CLI and the web UI. One command returns JSON for downstream agents.
Datacube - Excel for Billions of Rows
dt.cube is "Excel for billions of rows"—a spreadsheet UI over a C++ engine compiled to WebAssembly and streamed to a canvas. I was the #2 contributor out of eight over a year on the project.
I owned the TypeScript facade bridging React and the C++ engine, covering pivoting, filtering, SQL, data sources, themes, column statistics, and S3 browsing through the Emscripten API. On top of it, I built a drag-and-drop pivot builder with three cross-linked, sortable drop zones, per-column aggregation, and datetime granularity that compiles to a single `pivot()` engine call, as well as an AI assistant that generates schema-aware prompts from the engine, calls GPT-4o-mini in JSON mode, and applies the generated SQL to the grid in one click.
I owned the TypeScript facade bridging React and the C++ engine, covering pivoting, filtering, SQL, data sources, themes, column statistics, and S3 browsing through the Emscripten API. On top of it, I built a drag-and-drop pivot builder with three cross-linked, sortable drop zones, per-column aggregation, and datetime granularity that compiles to a single `pivot()` engine call, as well as an AI assistant that generates schema-aware prompts from the engine, calls GPT-4o-mini in JSON mode, and applies the generated SQL to the grid in one click.
Fuvii - Social, for Food Videos
Fuvii is the consumer social platform I built solo at Possier—a place to discover restaurants through short food videos. I wrote the Express, TypeScript, and Prisma backend (18 relational models, 28 REST endpoints, and JWT/bcrypt authentication) and designed the full social graph: likes, threaded comment replies, shares, views, ratings, and both user-follows-user and user-follows-restaurant relationships, feeding engagement-ranked, paginated timelines.
Video uploads go directly to S3 through 60-second v4-presigned PUT URLs, keeping uploads off the application server and feeding downstream processing. I added cross-entity search across restaurants, dishes, and videos (PostgreSQL full-text relevance with a case-insensitive fallback), shipped a parallel MongoDB/Mongoose backend alongside the Prisma and PostgreSQL one, and built the front ends: a Next.js consumer application, an admin application, B2B portal features, and a React Native mobile application.
Video uploads go directly to S3 through 60-second v4-presigned PUT URLs, keeping uploads off the application server and feeding downstream processing. I added cross-entity search across restaurants, dishes, and videos (PostgreSQL full-text relevance with a case-insensitive fallback), shipped a parallel MongoDB/Mongoose backend alongside the Prisma and PostgreSQL one, and built the front ends: a Next.js consumer application, an admin application, B2B portal features, and a React Native mobile application.
Ostad AI - a Bengali Tutor Bot on WhatsAPP and Telegram
Ostad AI is a product I shipped across two messaging channels: a WhatsApp tutor in NestJS and a Telegram tutor in Bun and grammY, each implemented independently under one umbrella rather than as a shared codebase. Both answer typed questions, photos of textbook problems, and Bangla voice notes and reply in Bangla with a properly typeset PDF (KaTeX math and Noto Bengali type) instead of raw text.
Everything is grounded in a knowledge base I built myself: image-based NCTB/HSC Bengali-medium textbooks processed through Gemini Vision OCR, block-aware chunking, and embeddings stored in Supabase pgvector, which both channels query by RPC. The knowledge base went through three generations: an OCR spike, a first end-to-end ICT pipeline with dual-embedding retrieval, and a PRD-driven production rewrite with full ingestion provenance and HNSW indexing.
Everything is grounded in a knowledge base I built myself: image-based NCTB/HSC Bengali-medium textbooks processed through Gemini Vision OCR, block-aware chunking, and embeddings stored in Supabase pgvector, which both channels query by RPC. The knowledge base went through three generations: an OCR spike, a first end-to-end ICT pipeline with dual-embedding retrieval, and a PRD-driven production rewrite with full ingestion provenance and HNSW indexing.
Bengali TTS - Trained AI Model for Natural Voice
I deployed Fish-Speech S2 on a rented RunPod RTX 3090, served through SGLang-Omni behind an OpenAI-style `/v1/audio/speech` API, and adapted the voice with zero-shot synthesis and reference-clip cloning using a single self-recorded Bengali clip and its exact transcript on every request.
The core engineering win was diagnosing why SGLang-Omni, which defaults to an H200 (141 GB), OOMs the vocoder on a 24 GB card, then patching three values in `stages.py` (mem_fraction_static` from 0.85 to 0.55, `chunked_prefill_size` from 8192 to 2048, and `max_running_requests` from 64 to 4) to achieve a stable around 16 GB footprint. I also wrote a dependency-free Bun client with a tiered Bengali text-normalization front end featuring a full 0–99 number-word table with lakh and crore logic, an English-to-Bengali phonetic dictionary, abbreviation and dari handling, sentence chunking, and hand-rolled RIFF/WAV concatenation.
The core engineering win was diagnosing why SGLang-Omni, which defaults to an H200 (141 GB), OOMs the vocoder on a 24 GB card, then patching three values in `stages.py` (mem_fraction_static` from 0.85 to 0.55, `chunked_prefill_size` from 8192 to 2048, and `max_running_requests` from 64 to 4) to achieve a stable around 16 GB footprint. I also wrote a dependency-free Bun client with a tiered Bengali text-normalization front end featuring a full 0–99 number-word table with lakh and crore logic, an English-to-Bengali phonetic dictionary, abbreviation and dari handling, sentence chunking, and hand-rolled RIFF/WAV concatenation.
Weekend Trendz - eCommerce Storefront with Support Bot
Weekend Trendz is a women's fashion storefront I built in 2021–2022—the full shopping flow in Next.js 12: paginated category browsing, dynamic product pages, cart, cash-on-delivery orders, account pages, Google sign-in, and Firestore behind it, plus a companion admin dashboard (wt-manage) for catalog and order management. I managed cart and user state with React context and custom hooks and lazy-loaded the Firebase SDK to keep the bundle small.
The part I'm proudest of is the support bot behind it. Instead of using a hosted NLP service, I hand-built the entire intent-classification model in PyTorch: a three-layer feed-forward network defined from scratch in `nn.Module`, fed by my own NLTK tokenization, Porter stemming, and bag-of-words pipeline, trained with a custom Adam and `CrossEntropyLoss` loop, then serialized with its vocabulary and served for real-time inference through Flask and gunicorn on Heroku. I designed and labeled my own intent dataset and gated inference based on confidence, so the bot declined rather than guessing on out-of-scope queries. The browser-side Web Speech voice and chat layer was a small, optional add-on that called the same endpoint.
The part I'm proudest of is the support bot behind it. Instead of using a hosted NLP service, I hand-built the entire intent-classification model in PyTorch: a three-layer feed-forward network defined from scratch in `nn.Module`, fed by my own NLTK tokenization, Porter stemming, and bag-of-words pipeline, trained with a custom Adam and `CrossEntropyLoss` loop, then serialized with its vocabulary and served for real-time inference through Flask and gunicorn on Heroku. I designed and labeled my own intent dataset and gated inference based on confidence, so the bot declined rather than guessing on out-of-scope queries. The browser-side Web Speech voice and chat layer was a small, optional add-on that called the same endpoint.
Automated Dashboard Watcher & Data Extraction Agent
Architected an automated web-watching agent in Python and Playwright to monitor provider dashboards lacking public APIs. Designed a resilient network-interception flow that captures raw internal XHR and Fetch JSON payloads directly via Chrome DevTools Protocol, eliminating reliance on fragile DOM elements. Automated authenticated session management and MFA using persistent browser contexts and Browserbase cloud infrastructure. Built a SQLite history engine to deduplicate payloads via SHA-256 hashing, establish baseline metrics, and dispatch real-time Telegram alerts on metric drift while ensuring zero sensitive data persistence.
Skills
Libraries/APIs
React, daisyUI, React Query, Zod, Stripe API, WebRTC, Node.js, Socket.IO, REST APIs, Stripe, React Testing Library, API Development, GraphQL API, OpenAPI, React Flow, Playwright, Google Maps API, OpenAI API, Claude API, Shopify API, D3.js, Highcharts, Stripe Connect, Gocardless API, Google Maps SDK, Twilio API, Pydantic, Python Asyncio, FFmpeg, KaTeX
Tools
React Apollo, Prisma, ChatGPT, Claude, GitHub, Git, Firebase Authentication, Firebase Cloud Messaging (FCM), Claude Code, Agora, Figma, Sentry, Zapier, n8n, Vitest, RabbitMQ, Emscripten, Canvas, Whisper, Webpack, Codex, Chrome Developer Tools
Languages
GraphQL, TypeScript, HTML5, JavaScript, CSS, HTML, Python, SQL, PHP, Python 3
Frameworks
Tailwind CSS, tRPC, React Native, NestJS, Tauri, Next.js, Express.js, Redux, Jest, Cypress, JSON Web Tokens (JWT), Swagger, Agentic Frameworks, LangGraph, GrammY, Django
Paradigms
Real-time Systems, Code Refactoring, Back-end Architecture, Database Design, Role-based Access Control (RBAC), Event-driven Architecture, UX Design, Microfrontends, Model Context Protocol (MCP), App Development, ACID, Automated Testing, Microservices, Microservices Architecture, DevOps
Platforms
Firebase, Shopify, LiveKit, Vertex AI, Android, iOS, Amazon Web Services (AWS), AWS Lambda, Google Cloud Platform (GCP), Vercel, OpenTok, Apache Kafka, CrewAI, AWS IoT, Azure, Docker, Blockchain
Storage
PostgreSQL, MySQL, Redis, Database Architecture, JSON, NoSQL, Databases, Database Structure, MariaDB, Amazon S3 (AWS S3), MongoDB, Google Cloud, Cloud Deployment, SQLite
Other
Data Visualization, WebSockets, Gemini API, LLM Integration, Supabase, AI Voice Agents, Full-stack, Full-stack Development, Webhooks, Performance Optimization, SaaS, Real-time Data, Speech-to-Text (STT), Text-to-Speech (TTS), Large Language Models (LLMs), Artificial Intelligence (AI), AI Tools, API Integration, Agentic AI, Integration, API Design, APIs, Architecture, Back-end, Command-line Interface (CLI), Analytics, Software Architecture, System Architecture, Authorization, Authentication, Startups, App Design, Gemini, OpenAI, Geolocation, Back-end Development, Fintech, Payment Processing, SaaS Architecture, Application State Management, Communication, Tailwind UI, AI-assisted Development, Minimum Viable Product (MVP), Code Review, Code Auditing, Debugging, POS, Multi-tenant Architecture, API Documentation, System Integration, Data Structures, eCommerce, Solution Architecture, Dashboards, Front-end, Charts, RESTFul APIs, Deployment, OAuth, Firebase Cloud Functions, Firebase Hosting, Generative Artificial Intelligence (GenAI), Website Performance, Data Modeling, Front-end Development, User Interface (UI), RESTful Web Services, Admin Panels, Dashboard Development, Scalable Architecture, Agentic Coding, User Experience (UX), Large Language Model Operations (LLMOps), Multi-agent Orchestration, Event Streaming, Vector Databases, Design Systems, Agentic AI Systems, Front-end Architecture, Workflow Automation, AI Agents, LangChain, Optical Character Recognition (OCR), Expense Management, FastAPI, Cursor AI, ElevenLabs Solutions, Exa.ai, Pgvector, Agent Skills, Video Processing, Project Leadership, Technical Leadership, Low-latency Software, Prompt Engineering, AI Integration, CI/CD Pipelines, Web Crawlers, Maps, Scraping, AWS Cloud Architecture, Financials, Security, AI Pipeline, Distributed Systems, Scalability, Retrieval-augmented Generation (RAG), Cloud Infrastructure, Recommendation Systems, AI Agent Orchestration, AI Architecture, CRM, CTO, Fractional CTO, Zoho, Data Privacy, Event-driven Systems, Infrastructure, Know Your Customer (KYC), Ledgers, Money Transfers, Payment APIs, Payments, QR Codes, Transactions, Marketplaces, Cloud, Computer Science, Videos, Large-scale Web Crawlers, Web Scraping, Financial Data, Open Banking APIs, Swan.io, Yapily API, Browserbase, Stagehand, BullMQ, Resend, Domain Migration, WebAssembly (Wasm), Silero, Machine Learning, Chrome DevTools, Website Data Scraping
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring