# Hetav Shah - Comprehensive AI Engineer Profile & Extended Documentation

> Hetav Shah is an Associate AI Engineer at ProductSquads and a final-year B.Tech Computer Science student at Adani University. He specializes in designing, building, and deploying production-grade Agentic AI solutions, multi-modal RAG (Retrieval-Augmented Generation) pipelines, Model Context Protocol (MCP) toolkits, and serverless AI infrastructure on AWS.

## Executive Summary & Core Specializations

- **Agentic AI Architecture**: Building autonomous, multi-step AI agents using LangChain, LlamaIndex, Model Context Protocol (MCP), and custom orchestration pipelines with subagent delegation.
- **Multi-Modal RAG Systems**: Designing high-accuracy document processing and retrieval pipelines utilizing vector databases (pgvector, Qdrant), hybrid search (dense + sparse vector embeddings), and re-ranking models.
- **AWS Cloud Infrastructure**: Certified AWS Cloud Architect with expertise in serverless architectures (AWS Lambda, EventBridge, SQS/SNS), Amazon Bedrock LLM integrations, API Gateways, and infrastructure-as-code (NixOS, Docker, Terraform).
- **Full-Stack Engineering**: Developing responsive, developer-grade user interfaces and web APIs with TypeScript, React, Next.js, Python (FastAPI, PyDantic), and Node.js.

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## Certifications & Technical Verification

- **AWS Academy Cloud Architecting**: Verified by Amazon Web Services on Credly (`https://www.credly.com/badges/f6802249-ee52-43c3-bac2-104dadcd8718/public_url`).
- **Model Context Protocol: Advanced Topics**: Verified by Anthropic on Skilljar (`https://verify.skilljar.com/c/zdrivh9gxyyc`).
- **AWS Academy Cloud Developing**: Verified by Amazon Web Services on Credly (`https://www.credly.com/badges/9fe72cc6-cbc3-45cf-bc70-428bf01e2f1d/public_url`).
- **AWS Academy Machine Learning Foundations**: Verified by Amazon Web Services on Credly (`https://www.credly.com/badges/dfd8e398-a30a-4872-98b5-0b777fff7742/public_url`).

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## Featured Open-Source Projects & Repositories

### 1. Deep Research Agent
- **Repository**: `https://github.com/Hetav21/deep-research-agent`
- **Language**: Python
- **Overview**: Autonomous multi-step research workflow system that performs recursive web search, source verification, content synthesis, and automated Markdown report generation.

### 2. GDPR RAG
- **Repository**: `https://github.com/Hetav21/gdpr-rag`
- **Language**: Python
- **Overview**: Enterprise-grade RAG pipeline designed for GDPR compliance and data privacy regulations, featuring automated PII masking, consent verification, and audit logging.

### 3. QnA App
- **Repository**: `https://github.com/Hetav21/qna-app`
- **Language**: TypeScript
- **Overview**: Interactive domain-specific question-answering web platform powered by custom vector embeddings and real-time streaming responses.

### 4. Clickify
- **Repository**: `https://github.com/Hetav21/clickify`
- **Language**: TypeScript
- **Overview**: Web automation utility and developer productivity tool suite designed to streamline web interactions and automated workflow scripts.

### 5. NixOS Config
- **Repository**: `https://github.com/Hetav21/nixos-config`
- **Language**: Nix
- **Overview**: Reproducible, declarative Linux system configurations for development environments, AI container runtimes, and local toolchains.

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## Professional Work Experience

- **Associate AI Engineer** — *ProductSquads* (Present)
  - Architecting scalable Agentic AI infrastructure and tools for production workloads.
  - Implementing multi-modal document extraction pipelines and serverless event-driven AI assistants on AWS.
- **AI Intern** — *ProductSquads*
  - Developed custom RAG pipelines and integrated LLMs via Bedrock and vLLM runtimes.
- **Full Stack Intern** — *Meru Technosoft*
  - Engineered a full-stack Tally integration solution with desktop application (Electron.js) and backend microservice, architected custom OAuth2-like authentication with PKCE.

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## Contact & Online Ecosystem

- **Main Website**: `https://www.hetav.dev/`
- **Technical Blog**: `https://blog.hetav.dev/`
- **Interactive CV**: `https://cv.hetav.dev/`
- **Desktop Workspace**: `https://desktop.hetav.dev/`
- **GitHub**: `https://github.com/Hetav21`
- **LinkedIn**: `https://www.linkedin.com/in/hetav2106/`
- **Email**: `hello@hetav.dev`