Amanbir is available for hire
Hire AmanbirAmanbir Singh
Verified Expert in Engineering
Data Scientist and Back-end Developer
Delhi, India
Toptal member since September 13, 2021
Bio
Amanbir has 10 years of experience in data science, analytics, and back-end engineering. He has worked at a large multilateral organization and with early-stage tech startups. Amanbir excels at working with clients in tackling complex business problems and has deep expertise in machine learning, data analysis, and building scalable web apps.
Portfolio
White Owl AI Inc.
Next.js, Supabase, Agentic AI, Full-stack, Databases, Software Architecture...
Zenith Media - Digital Innovation & AI
Python, React, Artificial Intelligence (AI), SQL, Tailwind CSS, Next.js...
Cuebo.ai
Python, Django, React, Azure, Amazon Web Services (AWS), Gemini, OpenAI...
Experience
- Machine Learning - 10 years
- Software Architecture - 7 years
- Full-stack Development - 7 years
- Python - 7 years
- Machine Learning Operations (MLOps) - 5 years
- Large Language Models (LLMs) - 4 years
- Agentic AI - 3 years
- RAG Architecture - 3 years
Work Experience
AI & Data Engineer
2026 - 2026
White Owl AI Inc.
- Designed and built the tax-strategy recommendation engine for a US–Canada tax advisory marketplace, turning uploaded tax returns into ranked, dollar-quantified savings recommendations for each client.
- Built typed extraction for about 16 US and Canadian tax forms into one standard record with jurisdiction detection and field-level provenance, then combined the per-form data into a single facts profile per client and tax year.
- Kept LLMs out of the advice path by storing strategy eligibility rules as data (a JsonLogic rule language) and evaluating them deterministically, so every confirmed recommendation is reproducible and auditable.
- Scaled the strategy library to 199 US and Canadian strategies with an LLM pipeline that drafted rules from plain-English descriptions, imported authoritative US tax parameters, and flagged broken savings formulas before activation.
- Designed a value-at-stake engine for 70 strategies. It estimated their potential savings and produced a ranked list of questions to ask the client rather than silently dropping them.
Technologies: Next.js, Supabase, Agentic AI, Full-stack, Databases, Software Architecture, DevOps, Data Security, Fintech, AI Consulting, Claude API, Document Processing, SOC 2, Test Automation, Platform Engineering, Claude Code, Streaming, Agentic Workflow Design, Software Engineering, LLM Integration, Privacy, AI Systems, Agentic AI Systems, Large Language Model Operations (LLMOps), TypeScript, SaaS, B2B, AI Engineering, Web Applications, PostgreSQL, Serverless, CI/CD Pipelines, Best Practices, Pipelines, Row-level Security (RLS), Vercel, Asyncio
Full-stack AI Developer
2026 - 2026
Zenith Media - Digital Innovation & AI
- Built a chat-first AI Analyst agent on a deterministic, bounded tool loop that never lets the underlying model write SQL directly against the database.
- Designed and ran an evaluation program for that AI agent covering benchmark questions, hard-negative cases, prompt-injection probes, and tenant-isolation probes.
- Ran a shadow A/B test of the bounded-tool-loop agent against the platform's prior one-shot baseline.
- Led two security-hardening phases across 188 API routes, closing centralized-auth gaps and IDOR and SQL-injection vulnerabilities, and locking down Row-Level Security policies and SECURITY DEFINER functions.
- Built a natural language to SQL engine that generated structured specifications and deterministic queries based on them, ensuring reusable and correct outputs across runs and making the queries easy to explain to humans.
- Led a MoSCoW-prioritized production-readiness program covering CORS policy, edge-function authentication, XSS, dependency CVEs, memory leaks, and N+1 query issues.
- Built a 128-file integration-first automated test suite from zero for the knowledge, data-chat, and reporting platform using Jest and React Testing Library.
- Shipped client-facing dashboards, shareable report links, and deterministic report-generation workflows with external-data steps.
Technologies: Python, React, Artificial Intelligence (AI), SQL, Tailwind CSS, Next.js, Natural Language Queries, AI Consulting, Reporting, Auditing, Playwright, Test Automation, Claude Code, Agentic Coding, Streaming, Agentic Workflow Design, Software Engineering, Continuous Integration (CI), Continuous Delivery (CD), LLM Integration, AI Systems, Agentic AI Systems, Large Language Model Operations (LLMOps), TypeScript, Enterprise, SaaS, B2B, Solution Engineer, Agentic AI, Full-stack, AI Engineering, Web Applications, PostgreSQL, CI/CD Pipelines, Best Practices, Pipelines, Row-level Security (RLS), Role-based Access Control (RBAC), Supabase, Vercel, SQLAlchemy, Asyncio
Co-founder and CTO
2023 - 2026
Cuebo.ai
- Led a 6-person engineering team that built Cuebo's AI sales roleplay platform: voice and video-avatar buyers across nine call types and 20+ languages, screen-share and camera modes the AI can see, and scenarios generated from real calls and decks.
- Built Cue, a voice AI coach on a custom agent harness: tools that pull a rep's past calls and scores, cross-session memory that saves two notes per session and recalls the last 20, and spoken fillers so tool calls never leave silence.
- Built Cuebo's AI Trainer, a 6-tool voice agent that turns uploaded decks and PDFs into spoken lessons, switching and highlighting slide images as it talks and grading learners' spoken answers.
- Led LLM evaluation in Langfuse: versioned eval datasets for scenario generation, call quality, and the AI Trainer, 3-vote LLM judges, nightly scoring of live sessions, CI smoke evals, and a simulated-learner test harness.
- Built the speech layer for real-time voice AI: seven speech-to-text and eight text-to-speech providers selectable per customer, language-based routing across three STT providers, and a stall guard that catches silent recognition failures.
- Led the build of Cuebo's Azure platform: self-hosted LiveKit media servers and a voice-agent fleet on Kubernetes (AKS), Terraform-managed infrastructure, 27 CI/CD pipelines, and autoscaling on live call load up to 40 voice workers.
- Customized call scoring: versioned rubric templates, speech metrics, and video analytics to grade on-camera engagement, expressions, and screen-share presentations.
- Built Cuebo's production monitoring: dashboards and alerts on voice latency, fleet capacity, speech provider, and recording health, Sentry error tracking with vendor-noise rate limits, and Langfuse tracing of LLM calls with PII masking.
Technologies: Python, Django, React, Azure, Amazon Web Services (AWS), Gemini, OpenAI, AI Agents, Product Management, Prompt Engineering, AI Evaluation, Reporting, Team Mentoring, Model Evaluation, SOC 2, Fine-tuning, Playwright, Test Automation, Platform Engineering, Claude Code, Agentic Coding, Streaming, Agentic Workflow Design, Software Engineering, Video Streaming, Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC), LLM Integration, Privacy, AI Systems, Agentic AI Systems, Large Language Model Operations (LLMOps), TypeScript, Enterprise, SaaS, B2B, Solution Engineer, Agentic AI, Full-stack, AI Engineering, Web Applications, PostgreSQL, Serverless, CI/CD Pipelines, Best Practices, Pipelines, Row-level Security (RLS), Role-based Access Control (RBAC), SQLAlchemy, Prometheus, Grafana, Redis, Asyncio, Model Context Protocol (MCP)
Full-stack Developer
2023 - 2024
SkyLaw
- Built a pipeline to extract specific fields from medical documents for injury claim law.
- Deployed on AWS with a serverless architecture for scale.
- Optimized the creation of summary legal drafts based on the medical data collected.
Technologies: Python, Amazon Web Services (AWS), AWS Lambda, React, Full-stack, Amazon S3 (AWS S3), Data Security, NLU, Stripe, Node.js, Data Pipelines, Document Processing, Model Evaluation, Software Engineering, Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC), LLM Integration, Privacy, AI Systems, SaaS, B2B, AI Engineering, Web Applications, PostgreSQL, Serverless, CI/CD Pipelines, Best Practices, HIPAA Compliance, HIPAA, Asyncio
ML Developer
2023 - 2024
ATS Software
- Worked on a computer vision model to extract information from unstructured PDF files (including drawings, tables, and more).
- Operated on NER models to extract information from natural language and unstructured text.
- Used GPT-4 for postprocessing of the AI pipeline to improve the performance. Also included rule-based postprocessing to improve pipeline performance.
- Deployed the entire platform on AWS SageMaker and integrated with the client's stack.
- Trained multimodal models to improve NER performance.
Technologies: Artificial Intelligence (AI), Machine Learning, Python, MySQL, Generative Pre-trained Transformers (GPT), Amazon SageMaker, Computer Vision, Named-entity Recognition (NER), Object Detection, Text Detection, Generative Artificial Intelligence (GenAI), Supervised Learning, Multimodal Models, OpenAI API, API Development, Data Extraction, Document Parsing, RAG Architecture, Vector Databases, AI Pipeline, Data Security, Data Preprocessing, NLU, Document Processing, Model Evaluation, Fine-tuning, Software Engineering, Continuous Integration (CI), Infrastructure as Code (IaC), LLM Integration, AI Systems, Enterprise, B2B, Solution Engineer, AI Engineering, Serverless, CI/CD Pipelines, Best Practices, Pipelines
Data Scientist | ML Expert
2023 - 2024
IISD Experimental Lakes Area Inc - Main
- Developed a model using meteorological data to predict the date of ice melt for a lake. The prediction was within a day of the actual ice melting date.
- Used boosting, bagging, and other algorithms to improve performance.
- Created a dashboard using React to show model predictions and performance.
Technologies: Machine Learning, Data Science, Python, PostgreSQL, Amazon Web Services (AWS), React, Gradient Boosting, Scikit-learn, Google Earth, Statistical Modeling, Object-oriented Programming (OOP), Cloud Computing, Generative Artificial Intelligence (GenAI), Supervised Learning, API Development, Data Preprocessing, Reporting, Test Automation, Full-stack, CI/CD Pipelines
Data Scientist
2023 - 2023
Independent Research Group
- Created a simulation to model the interactions between different economic actors (firms, employees, non-economic participants, etc.).
- Ran a Markov chain simulation to understand the effect with different initial states and interventions.
- Created output visualizations and statistics to test hypotheses.
Technologies: Data Science, Agent-based Modeling, R, Python, Markov Chain Monte Carlo (MCMC) Algorithms, Monte Carlo Simulations, Simulations, Unsupervised Learning, Software Engineering
AI/ML Developer
2023 - 2023
America Interpretation
- Developed a real-time translation API to convert speech to speech across any language.
- Built a back end in Django to handle streaming audio data and return translated audio data and transcription. The back end also addressed meeting creation and meeting joining.
- Created a front end in React and used RecordRTC to capture audio. Established a WebSocket connection to allow for audio streaming to the back end.
- Deployed both front and back end on Azure services.
- Integrated with multiple translation and speech generation services.
Technologies: Python, Artificial Intelligence (AI), Machine Learning, Text-to-Speech (TTS), Speech-to-Text (STT), Natural Language Processing (NLP), React, Azure Text to Speech, Elementor, Django, Azure, OpenAI, WebSockets, TypeScript, JavaScript, RecordRTC, Voice Recognition, Language Models, Prompt Engineering, System Architecture, New Product Development, Object-oriented Programming (OOP), Cloud Computing, Generative Artificial Intelligence (GenAI), API Development, AI Pipeline, Software Engineering, LLM Integration, AI Systems, SaaS, AI Engineering, Web Applications
AI/ML Expert/Consultant
2023 - 2023
Harbor
- Did prompt engineering to improve LLM model predictions.
- Compared open-source LLMs against closed models.
- Self-hosted open-source LLMs on the company's infrastructure.
- Built a prompt testing framework in Python to compare and improve prompts.
Technologies: OpenAI GPT-3 API, OpenAI GPT-4 API, Generative Pre-trained Transformers (GPT), Generative Pre-trained Transformer 3 (GPT-3), AIOps, Machine Learning Operations (MLOps), Natural Language Processing (NLP), Graphics Processing Unit (GPU), AI Design, Amazon SageMaker, Hugging Face, ChatGPT, Amazon EC2, Back-end Development, GitHub, LangChain, Pinecone, Large Language Models (LLMs), OpenAI, LlamaIndex, Language Models, Prompt Engineering, Containerization, System Architecture, Project Management, Retrieval-augmented Generation (RAG), Llama 2, NoSQL, Object-oriented Programming (OOP), Research, Cloud Computing, Generative Artificial Intelligence (GenAI), Open-source LLMs, AI Agents, API Development, Model Evaluation, Fine-tuning, Software Engineering, Infrastructure as Code (IaC), LLM Integration, AI Systems, Enterprise, SaaS, B2B, AI Engineering, Web Applications, CI/CD Pipelines, Best Practices
AI/ML Engineer
2023 - 2023
Grown Unknown, LLC
- Developed prompts to generate customized parental advice using OpenAI APIs.
- Added context to the prompts to tailor the tone of the outputs.
- Compared OpenAI with other options and created a plan for future product development.
Technologies: Python, Machine Learning, Language Models, OpenAI GPT-4 API, OpenAI GPT-3 API, Generative Pre-trained Transformers (GPT), Data Scientist, Language Learning, Generative Systems, Natural Language Processing (NLP), ChatGPT, Large Language Models (LLMs), OpenAI, Prompt Engineering, System Architecture, Generative Artificial Intelligence (GenAI), Software Engineering, LLM Integration, AI Systems
Machine Learning Expert
2023 - 2023
AmpVis Ltd.
- Advised the client on building the MVP, including all technical steps needed.
- Decided on team structures to handle different product decisions.
- Consulted on hiring decisions for other technical roles.
Technologies: Python, Machine Learning, Artificial Intelligence (AI), Data Science, APIs, Google Vision API, Amazon Rekognition, Programming, Cloud, Models, Data Scientist, Generative Systems, Deep Learning, Large Language Models (LLMs), Product Roadmaps, Product Strategy, SaaS, B2B, Best Practices
Data Scientist
2023 - 2023
NewCloud Medical LLC
- Built a Looker Studio dashboard to show data and summary statistics based on filters.
- Added visualizations in the Looker Studio to generate insights from the data.
- Created dashboard views that dynamically update based on selected fields.
Technologies: Python, PDF Scraping, Scraping, Databases, Looker, Programming, Language Models, Generative Pre-trained Transformers (GPT), Data Cleaning, Data Scientist, Spreadsheets, Data Processing, Large Language Models (LLMs), Data Pipelines
Head of Product and Engineering
2016 - 2023
Monsoon CreditTech
- Led the development of the SaaS AutoML platform as an architect and product manager; made wireframes, wrote user and functional requirements, decided on back-end architecture, and ran sprints using Django, Angular, Jenkins, and Docker.
- Architected AutoML libraries used internally. The platform generated machine learning models optimized for lending.
- Acted as a product manager and architect for developer tools used by our internal data science team to speed up model development and deployment.
- Managed client engagements with 15 banks and NBFCs; built and deployed models to identify risky borrowers at the time of application. Increased revenue for the client by 20% and more.
- Hired and managed a team of 10+ data scientists and software developers. Conducted one-on-ones, set targets for the team, and mentored junior members.
- Built an auto-deployment process for machine learning models that supported multiple and multistage models.
Technologies: Python, Pandas, Django, Angular, Docker, Kubernetes, Machine Learning, Data Science, Machine Learning Operations (MLOps), XGBoost, Jupyter Notebook, SQL, Data Analytics, Data Visualization, Data Mining, Web Scraping, Data Reporting, Artificial Intelligence (AI), Agile, Data Analysis, Time Series, Time Series Analysis, Optimization, Financial Modeling, Amazon Web Services (AWS), MySQL, Azure, Scikit-learn, Statistics, Statistical Analysis, Real-time Data, Predictive Analytics, APIs, Banking & Finance, Architecture, Leadership, Automation Scripting, Scripting, AWS Lambda, REST APIs, Amazon S3 (AWS S3), HTML, Decision Trees, Data Scientist, Natural Language Processing (NLP), Recommendation Systems, Regression, PDF Scraping, Scraping, Back-end, Software Architecture, Azure ML Studio, Git, Amazon DynamoDB, PostgreSQL, Non-performing Loans (NPL), Data Scraping, TypeScript, NumPy, MongoDB, Serverless, Predictive Modeling, Customer Segmentation, Visualization, Django REST Framework, Full-stack Development, API Integration, AI Design, Automation, Full-stack, CSS, Flask, Solution Architecture, Software Development, PyPDF2, openpyxl, Microservices, Advisory, Technology Strategy & Architecture, Databases, Web Development, CTO, DevOps, Google Cloud Platform (GCP), JavaScript, Object-relational Mapping (ORM), Technical Leadership, Database Architecture, Agile Software Development, Data Structures, Amazon SageMaker, ETL, Minimum Viable Product (MVP), Requirements Analysis, Startups, Mathematics, Task Scheduling, Regular Expressions, Sockets, Linear Regression, Data-driven Decision-making, Decision Modeling, Neural Networks, Programming, Integration, User Interface (UI), Cloud, Models, Exploratory Data Analysis, EDA, Modeling, Data Cleaning, Unstructured Data Analysis, Large Data Sets, Data Gathering, Spreadsheets, Machine Learning Automation, Amazon Elastic Container Service (ECS), Data Processing, Product Management, Amazon EC2, Back-end Development, Azure Cosmos DB, GitHub, Azure Functions, Azure Blobs, Scrapy, Large Language Models (LLMs), Regression Modeling, Language Models, FastAPI, Containerization, Vertex, System Architecture, Team Leadership, Project Management, Azure Machine Learning, Pytest, Unit Testing, Statistical Modeling, NoSQL, Object-oriented Programming (OOP), Research, Cloud Computing, Fraud Detection, Unsupervised Learning, Supervised Learning, Open-source LLMs, AI Agents, OpenAI API, API Development, Data Extraction, Document Parsing, RAG Architecture, Vector Databases, AI Pipeline, Fintech, Data Security, Data Preprocessing, NLU, Beautiful Soup, Data Pipelines, Reporting, Team Mentoring, Test Automation, Platform Engineering, Salesforce, Microsoft Entra ID, Software Engineering, Continuous Integration (CI), Continuous Delivery (CD), Privacy, Enterprise, SaaS, B2B, Solution Engineer, Web Applications, CI/CD Pipelines, Best Practices, Pipelines, Row-level Security (RLS), Role-based Access Control (RBAC), SQLAlchemy, Prometheus, Grafana, Redis, Asyncio
Research Coordinator
2015 - 2016
JustJobs Network
- Set up an internal data management system to track versions of datasets.
- Led research on vocational training and skill-building programs in India. Led data collection and analysis; published a findings report.
- Designed a training module on statistics and R, which was used for the training of new hires.
Technologies: Python, R, Data Analytics, Data Visualization, Data Mining, Web Scraping, Data Reporting, Data Analysis, Statistics, Statistical Analysis, Automation Scripting, Scripting, Data Scientist, Regression, Scraping, Git, Predictive Modeling, Visualization, Automation, Mathematics, Linear Regression, Data-driven Decision-making, Decision Modeling, Programming, Models, Exploratory Data Analysis, EDA, Modeling, Data Cleaning, Unstructured Data Analysis, Data Gathering, Spreadsheets, Data Processing, Regression Modeling, Project Management, Statistical Modeling, Research, Supervised Learning, Data Extraction, Document Parsing, Beautiful Soup, Data Pipelines, SQLAlchemy
Consultant
2014 - 2015
World Bank Group
- Supervised statewide data collection for 4,500 surveys at the individual and household levels.
- Built models to identify factors that affected education and labor market outcomes for adolescents.
- Participated in the dissemination of research findings.
Technologies: R, Data Science, Data Analytics, Data Visualization, Data Mining, Data Reporting, Data Analysis, Statistics, Statistical Analysis, Automation Scripting, Scripting, Regression, Git, Predictive Modeling, Visualization, ETL, Mathematics, Linear Regression, Data-driven Decision-making, Decision Modeling, Programming, Models, Exploratory Data Analysis, EDA, Modeling, Data Cleaning, Unstructured Data Analysis, Data Gathering, Spreadsheets, Data Processing, Regression Modeling, Project Management, Statistical Modeling, Research, Unsupervised Learning, Supervised Learning, Data Extraction
Senior Research Associate
2012 - 2014
Centre for Microfinance Research
- Managed two randomized control trials studying the effect of financial access in India.
- Trained and supervised a field team of 30 members for 1,700 individual surveys across four districts.
- Designed and implemented six electronic questionnaires using Open Data Kit and SurveyCTO and built the back end for the survey data.
Technologies: STATA, Survey Design, Open Data Kit, Data Visualization, Data Mining, Data Reporting, Data Analysis, Causal Inference, Statistics, Statistical Analysis, Automation Scripting, Regression, Visualization, Mathematics, Linear Regression, Data-driven Decision-making, Models, Exploratory Data Analysis, EDA, Modeling, Data Cleaning, Unstructured Data Analysis, Data Gathering, Spreadsheets, Data Processing, Regression Modeling, Project Management, Statistical Modeling, Research, Unsupervised Learning, Supervised Learning, Data Extraction, Document Parsing
Project History
AutoML Platform for Lenders
Built an AutoML platform that takes data from lenders and produces state-of-the-art machine-learning models. Supports traditional financial data and alternate (SMS, mobile, etc.) data.
The platform produced models for new applications and to help with collections for running loans. This was offered as a SaaS product.
The platform produced models for new applications and to help with collections for running loans. This was offered as a SaaS product.
Custom Machine Learning Models for Lenders
Managed a team of developers and data scientists to build models for lenders, which included models that predicted the risk of loan applications, recommendation engines for financial products, and marketing models to reach out to identify target customers.
Built and delivered models to the largest lenders in India. This led to a 30% reduction in delinquencies and increased loan approvals by 25%.
Built and delivered models to the largest lenders in India. This led to a 30% reduction in delinquencies and increased loan approvals by 25%.
Report for the World Bank
https://documents.worldbank.org/en/publication/documents-reports/documentdetail/866381523450216235/a-window-of-opportunity-a-diagnostic-of-adolescent-girls-and-young-women-s-socio-economic-empowerment-in-jharkhand-indiaWorked closely with the World Bank to identify critical challenges, along with key reforms, that adolescent girls in Jharkhand, India were facing, where my role included experimental design, data collection, analysis, and modeling. I also worked on the dissemination of the report and communication with key stakeholders.
Education
2008 - 2012
Bachelor's Degree in Economics and Statistics
Carnegie Mellon University - Pittsburgh, PA, USA
Skills
Libraries/APIs
Pandas, XGBoost, Scikit-learn, REST APIs, NumPy, PyPDF2, React, OpenAI API, API Development, Claude API, Node.js, Playwright, SQLAlchemy, Asyncio, Beautiful Soup, Sockets, Google Vision API, Amazon Rekognition, RecordRTC, Stripe
Tools
Amazon SageMaker, ChatGPT, Claude, Claude Code, Git, Spreadsheets, Amazon Elastic Container Service (ECS), GitHub, Azure Machine Learning, Pytest, STATA, Open Data Kit, Azure ML Studio, Looker, Named-entity Recognition (NER), Grafana
Languages
Python, TypeScript, HTML, R, SQL, CSS, JavaScript
Frameworks
Django, Django REST Framework, Bootstrap, Material UI, LlamaIndex, Angular, Flask, Scrapy, Tailwind CSS, Next.js
Paradigms
Automation, Object-relational Mapping (ORM), Object-oriented Programming (OOP), Test Automation, Continuous Integration (CI), Continuous Delivery (CD), B2B, Best Practices, Role-based Access Control (RBAC), Agile, Microservices, Agile Software Development, ETL, Requirements Analysis, Unit Testing, HIPAA Compliance, Model Context Protocol (MCP), DevOps, Agent-based Modeling
Platforms
Jupyter Notebook, AWS Lambda, Amazon EC2, Vercel, Docker, Amazon Web Services (AWS), Azure, Azure Functions, Kubernetes, Google Cloud Platform (GCP), Salesforce
Storage
MySQL, Amazon S3 (AWS S3), PostgreSQL, MongoDB, Databases, Database Architecture, Azure Cosmos DB, Azure Blobs, NoSQL, Data Pipelines, Redis, Amazon DynamoDB, Microsoft Entra ID
Industry Expertise
Project Management, Banking & Finance
Other
Data Science, Machine Learning, Data Analytics, Data Mining, Web Scraping, SaaS, Artificial Intelligence (AI), Data Analysis, Statistics, Statistical Analysis, Predictive Analytics, APIs, Architecture, Automation Scripting, Scripting, Decision Trees, Data Scientist, Natural Language Processing (NLP), Regression, PDF Scraping, Scraping, Back-end, Software Architecture, Non-performing Loans (NPL), Data Scraping, Predictive Modeling, Customer Segmentation, Visualization, Full-stack Development, API Integration, Full-stack, Software Development, Advisory, Technology Strategy & Architecture, Web Development, CTO, Technical Leadership, Generative Pre-trained Transformers (GPT), OpenAI GPT-3 API, Minimum Viable Product (MVP), Startups, Regular Expressions, Linear Regression, Data-driven Decision-making, Programming, Integration, Models, Exploratory Data Analysis, EDA, Modeling, Data Cleaning, Unstructured Data Analysis, Large Data Sets, Data Gathering, Machine Learning Automation, Data Processing, Back-end Development, Regression Modeling, Large Language Models (LLMs), OpenAI, Prompt Engineering, System Architecture, Product Roadmaps, Product Strategy, New Product Development, Team Leadership, Statistical Modeling, Retrieval-augmented Generation (RAG), Unsupervised Learning, Supervised Learning, AI Agents, Agentic AI, Anthropic, Data Extraction, Document Parsing, RAG Architecture, AI Pipeline, Data Preprocessing, NLU, Supabase, AI Consulting, Auditing, Team Mentoring, Model Evaluation, SOC 2, Agentic Coding, Streaming, Agentic Workflow Design, Software Engineering, LLM Integration, AI Systems, Agentic AI Systems, Large Language Model Operations (LLMOps), Enterprise, Solution Engineer, AI Engineering, Web Applications, CI/CD Pipelines, Pipelines, Machine Learning Operations (MLOps), Data Visualization, Data Reporting, Time Series, Time Series Analysis, Real-time Data, Leadership, Recommendation Systems, Serverless, AI Design, Solution Architecture, Data Structures, Generative Pre-trained Transformer 3 (GPT-3), Mathematics, Task Scheduling, OpenAI GPT-4 API, Decision Modeling, Neural Networks, Cloud, Language Models, Language Learning, Generative Systems, Hugging Face, Product Management, LangChain, Speech-to-Text (STT), Voice Recognition, FastAPI, Containerization, Llama 2, Research, Cloud Computing, Fraud Detection, Generative Artificial Intelligence (GenAI), Open-source LLMs, Vector Databases, Fintech, Data Security, Reporting, Document Processing, Platform Engineering, Video Streaming, Privacy, Row-level Security (RLS), HIPAA, Survey Design, Optimization, Financial Modeling, Causal Inference, openpyxl, User Interface (UI), Deep Learning, AIOps, Graphics Processing Unit (GPU), Pinecone, Text-to-Speech (TTS), Azure Text to Speech, Elementor, WebSockets, Vertex, Gradient Boosting, Google Earth, Markov Chain Monte Carlo (MCMC) Algorithms, Monte Carlo Simulations, Simulations, Computer Vision, Object Detection, Text Detection, Multimodal Models, Natural Language Queries, Gemini, AI Evaluation, Fine-tuning, Infrastructure as Code (IaC), Prometheus
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