Moiz Husnain
Verified Expert in Engineering
AI Developer
Lahore, Punjab, Pakistan
Toptal member since August 21, 2026
Moiz is a contrarian builder specializing in cloud products and applied AI. He started his first startup at 21, building a cloud platform for IoT. Since then, Moiz has worked with 7+ startups across AI, developer tools, and SaaS, bringing a unique take on product and go-to-market strategies to every hard problem he touches.
Portfolio
Experience
- Node.js - 10 years
- PostgreSQL - 8 years
- Multi-tenant SaaS - 8 years
- TypeScript - 8 years
- Engineering Management - 8 years
- Kubernetes - 6 years
- LangChain - 3 years
- AI Engineering - 3 years
Preferred Environment
Kubernetes, Next.js, TypeScript, Vercel, PostgreSQL, ChromaDB, LangChain
The most amazing...
...product I've built was Grandeur's distributed IoT platform, which scaled to millions of real-time device events, supporting 20,000+ developers in 10+ countries.
Work Experience
Entrepreneur in Residence
Ctlyst
- Appointed as Fractional CTO by Ctlyst to embed directly with founding teams across the portfolio. Owned technical strategy, architecture, and delivery for AI-native startups across SaaS, infrastructure, web3, and consumer AI verticals.
- Built the hiring and technical leadership infrastructure the whole portfolio ran on: designed interview frameworks, personally ran 100+ technical interviews, hired 30+ engineers, and built mentorship programs holding 90%+ retention.
- Architected and shipped a stunning end-to-end AI site builder that scaled to 200,000+ users and $600,000+ ARR, becoming one of the portfolio's biggest launches under my technical leadership.
- Took Xeko from a two-founder prototype to an enterprise-grade agentic customer support platform handling 10,000+ AI customer conversations per day at peak.
- Built and launched Voice Artificial, a web3 market-research product, reaching a $5 million market cap and attracting a community of over 5,000 from the v1 launch alone.
Founder and CEO
Grandeur
- Founded Grandeur and built the engineering organization from zero to around 20 people, scaling the platform to 20,000+ developers across 10+ countries.
- Raised capital from Alchemist Accelerator, Hustle Fund, and Walled City Co., and owned investor relations end to end.
- Architected a multi-tenant, event-driven IoT back end ingesting millions of real-time device events and 6+ million API requests a month, with reliability and recovery built in as first-class requirements, not afterthoughts.
- Built the platform's AI layer (Canvas and Vision), turning raw device telemetry into recommended actions years before function calling or structured-output tooling existed, defining Grandeur's AI-native direction before "AI-native" was a category.
- Aligned engineering roadmaps directly with product, sales, and operations to keep delivery tied to real business objectives.
- Led a product-led GTM strategy based on self-serve onboarding, in-product activation, usage-based pricing, and community growth, resulting in a reduction of customer acquisition cost by 60%.
Member (Class 29)
Alchemist Accelerator
- Selected for premier B2B accelerator (Class 29) specializing in high-growth enterprise companies.
- Completed an intensive program focused on B2B leadership, team building, and scaling high-performing technical organizations.
- Built an advisory board comprising industry leaders from developer tools companies, including Indy Sen, Adam Frankl, and Derric Gilling, and successfully raised funding on Demo Day.
Experience
Stunning: AI Landing Page Builder
http://stunning.so/Owned the entire stack end to end. Built the front end/dashboard and conversation in Next.js and the back end in Nest.js and TypeScript. Containerized and deployed on Kubernetes in Azure, with a multi-tenant data model supporting white-labeling and add-ons.
Architected an AI orchestrator on GPT-4o that generated the full layout, content, and styling from raw, unstructured business input. Designed a builder system to convert AI decisions into a working site with a library of 500+ deterministic, unstyled UI components.
Built the full product surface: a visual site builder and editor, a file CDN, a Tiptap-based CMS editor, and an AI photo generator.
Implemented seat-based billing through Stripe, metering, RBAC with org-level user invites, and custom domain and branding support at both the site and platform level through Entri.
Led the product through its AppSumo and Product Hunt launches.
Xeko: AI Customer Support Agent Platform
https://xeko.ai/Owned the product dev end to end. Built with Next.js, Python, and FastAPI. Migrated from OpenAI Agents SDK to a self-hosted model on owned GPU infrastructure to improve response time, cut inference cost, and double down on data governance/GDPR compliance.
Designed the knowledge-ingestion pipeline so an agent scrapes a customer's website and connects directly to Google Workspace, Notion, and Microsoft 365, building a live knowledge base on top of self-hosted ChromaDB.
Redesigned the agent architecture from a single monolithic agent into an orchestrator and specialist-agent system, where the orchestrator routes each conversation to a dedicated agent for support, sales, or product discovery.
Built eCommerce integrations enabling in-conversation product placement and purchases, connected to Stripe for billing. Built integration with Zapier and n8n for custom workflows.
Voice Artificial: Web3 Market Research Platform
https://x.com/voiceartificialBuilt a custom on-chain indexer on top of QuickNode that reads new token launches directly from the blockchain, processing 30,000+ launches every day.
Designed a custom X data pipeline, built on Playwright, merging on-chain, market, and social signals into a single fundamentals view for every token the indexer surfaced.
Built a high-speed DNN model that scores financial KPIs and X activity together, flagging statistical outliers in near real time to surface tokens with unusual fundamentals or social momentum.
Built an LLM-driven review pipeline on GPT-4o that turned the combined signal set into a written analysis and auto-published it directly to X, closing the loop from raw chain data to a public recommendation.
Deployed back end and indexer into independent microservices, built in Python and FastAPI, deployed on Modal Labs, with a Next.js front end surfacing the research to end users.
Designed an Observability dashboard with Retool to track running data pipelines and external dependencies.
Otherme
https://otherme.vercel.app/Built a Python/Playwright-based scraper and scheduler that monitored X watchlists. Designed the infrastructure around rate limit protection, anti-bot detection, hot credentials swapping, and residential proxies. The resulting system could monitor 5,000 to 6,000 X accounts at low latency.
Built the front end in Next.js, separating the always-on monitoring process from the user-facing product.
Built the digest, conversation-highlight, and post-suggestion layer on top of the monitoring pipeline, turning raw scraped activity into a curated feed a user could act on directly.
Education
Bachelor's Degree in Electrical Engineering
University of Engineering and Technology (UET) - Lahore, Pakistan
Skills
Libraries/APIs
Node.js, React, Stripe, Claude API, Auth, REST APIs, Twilio API, GraphQL API, Playwright, X (formerly Twitter) API, React Testing Library, Google Workspace APIs, Stripe Connect, Graph API, SendGrid API
Tools
Zapier, Notion API, Claude Code, Claude, Shadcn, GitHub, Vitest, Amazon Elastic Container Service (ECS), MongoDB Atlas, n8n, Terraform, Webpack, Amazon CloudWatch, AWS IAM, RabbitMQ
Languages
TypeScript, JavaScript, Python, CSS, HTML, GraphQL, SQL, C++, C
Frameworks
Next.js, Tailwind CSS, OAuth 2, Django, LlamaIndex, NestJS, LangGraph
Paradigms
Model Context Protocol (MCP), Microservices, Role-based Access Control (RBAC), Web Application Architecture, ETL, Testing, Best Practices, Maintainability, Real-time Systems, Clean Code, REST
Platforms
PostHog, Vercel, Docker, Google Cloud Platform (GCP), Amazon Web Services (AWS), AWS Lambda, AWS IoT, Kubernetes, Azure, Shopify, Blockchain, Twilio, Mobile
Storage
PostgreSQL, Google Cloud, MongoDB, Cloud Deployment, MySQL, Databases, Database Architecture, Redis, Data Pipelines, Database as a Service (DBaaS), ClickHouse, Amazon DynamoDB, Azure Cloud Services, Neo4j
Other
LangChain, Software Architecture, AI Engineering, Engineering Management, Distributed Systems, Cloud Architecture, ChromaDB, Stakeholder Management, Customer Journey, Product Strategy, AI Product Strategy, Team Building, Business Strategy, Computer Architecture, Microcontrollers, AI Agents, FastAPI, API Design, LLM Integration, Conversational AI, Agentic AI, Full-stack Development, Technical Leadership, AI Agent Orchestration, AI Architecture, Multi-tenant SaaS, Cloud Infrastructure, Open Source, WebSockets, Web Application Design, Prompt Engineering, RAG Pipelines, SaaS, Data-driven Dashboards, Authentication, Data Engineering, Fractional CTO, OpenAI GPT-4 API, White Labeling, React Components, Deep Neural Networks (DNNs), Data Security, OAuth, Full-stack, Integration, Large Language Models (LLMs), User Interface (UI), Software as a Service (SaaS), Workflow Automation, Workflow Automation & System Integration, APIs, API Integration, Observability, Web Development, Performance, Privacy, Security, Supabase, Artificial Intelligence (AI), LLM Agents, AI-assisted Development, AI-generated Code, AI Integration, Technical Writing, Code Review, User Experience (UX), CRM, Integrations, ETL for AI, ETL Pipelines, Back-end, Back-end Development, OpenAI, Server-side Rendering (SSR), Architecture, Real-time Data, Telemetry, Cloud, Production Engineering, Startups, Security Architecture, Amazon Bedrock AgentCore, Row-level Security (RLS), Auditing, Data Modeling, SQLModel, Audits, Data Architecture, Pipelines, Scalability, Reliability, CI/CD Pipelines, Front-end, AI Chatbots, Chatbots, OpenAI SDK, Resend, Amazon DocumentDB, AI Tools, AWS Auto Scaling, Technical Architecture, CTO, System Architecture, Cursor AI, Debugging, Optimization, Third-party APIs, Data Accuracy & Reporting, Data Integrity, Coding, Microsoft Azure, Agentic AI Systems, Performance Optimization, Vector Search, Context Engineering, RAG Systems, Vite, Web Scraping, TimescaleDB, Fundraising, Go-to-market (GTM) Strategy, Customer Success, Business to Business (B2B), Embedded Systems, Computer Networks, Data Structures, Machine Learning, Power Electronics, Digital Logic, Analog Circuit Design, Embedding Models, Natural Language Processing (NLP), Recommendation Systems, Natural Language Understanding (NLU), Temporal, Data Governance, CMS, Solana, RPC, Browser Automation, Apollo, Apollo Server, eCommerce, Finance, Storybook, Web3, Smart Contracts, Google BigQuery, ELT, Railway, Knowledge Graphs, Ontologies, GPU Computing
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