---
title: Pritesh Rathod - Python & Go Backend Developer
description: Personal developer portfolio showcasing backend systems, FastAPI microservices, Golang APIs, LangChain/LangGraph AI architectures, and RAG pipelines.
canonical: https://priteshrathod.vercel.app/
last-updated: 2026-09-29
---

# Pritesh Rathod | Python & Go Backend Developer

Building scalable backend systems, APIs, and AI-powered applications.

- **Location**: Ahmedabad, India
- **Education**: M.Sc. in Computer Applications & Information Technology, Gujarat University
- **Email**: rathodpritesh0712@gmail.com
- **GitHub**: [github.com/rathod-pritesh](https://github.com/rathod-pritesh)
- **LinkedIn**: [linkedin.com/in/rathodpritesh](https://www.linkedin.com/in/rathodpritesh/)
- **Resume**: [Download Resume (PDF)](https://priteshrathod.vercel.app/resume/Pritesh_Rathod_resume.pdf)

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## Technical Skills

- **Backend & Languages**: Python (FastAPI, Flask), Golang (Gin), JavaScript, SQL
- **AI & LLM Orchestration**: LangChain, LangGraph, RAG pipelines, OpenAI, Anthropic, Watsonx.ai, LLaMA 3, Pinecone vector search
- **Computer Vision**: OpenCV, YOLO (object detection & blurring)
- **Databases**: MongoDB, PostgreSQL, MySQL
- **Tools & DevOps**: Docker, Git, Linux, Postman, Vite, Vercel, Render

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## Featured Projects

### 1. VideoRedact
- **Description**: Automated video privacy application using YOLO and OpenCV to detect and blur faces and license plates in uploaded video footage.
- **Technologies**: Python, OpenCV, YOLO, FastAPI

### 2. Medical RAG Chatbot
- **Description**: Generative AI medical chatbot utilizing Retrieval-Augmented Generation (RAG) with Pinecone vector search and Groq/LLaMA 3.
- **Repository**: [Medical Chatbot on GitHub](https://github.com/rathod-pritesh/end-to-end-medical-chatbot-generative-ai)

### 3. BuildTrack
- **Description**: Construction management web application supporting role-based authentication, project tracking, worker attendance, and cost estimation.
- **Technologies**: Flask, MySQL, Bootstrap
- **Repository**: [BuildTrack on GitHub](https://github.com/rathod-pritesh/BuildTrack-construction-management-system)

### 4. Netflix Watchlist API
- **Description**: High-performance RESTful API built with Go and MongoDB featuring modular MVC architecture and CRUD endpoints.
- **Technologies**: Golang, MongoDB
- **Repository**: [Go MongoDB API on GitHub](https://github.com/rathod-pritesh/go-mongodb-crud-api)

### 5. AI Voice Assistant
- **Description**: Web-based voice assistant built with SvelteKit and FastAPI, utilizing all-MiniLM-L6-v2 embeddings and the browser Web Speech API.
- **Technologies**: SvelteKit, FastAPI, SentenceTransformers
- **Repository**: [AI Voice Assistant on GitHub](https://github.com/rathod-pritesh/ai-voice-assistant)

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## Developer & Agent Resources

- **OpenAPI 3.1.0 Specification**: [`/openapi.json`](https://priteshrathod.vercel.app/openapi.json)
- **Agent Authentication Guide**: [`/auth.md`](https://priteshrathod.vercel.app/auth.md)
- **Agent Skills (SKILL.md)**: [`/SKILL.md`](https://priteshrathod.vercel.app/SKILL.md)
- **Coding Agent Instructions**: [`/AGENTS.md`](https://priteshrathod.vercel.app/AGENTS.md)
- **ARD Discovery Catalog**: [`/.well-known/ard.json`](https://priteshrathod.vercel.app/.well-known/ard.json)
- **MCP Server Card**: [`/.well-known/mcp/server-card.json`](https://priteshrathod.vercel.app/.well-known/mcp/server-card.json)
- **A2A Agent Card**: [`/.well-known/agent-card.json`](https://priteshrathod.vercel.app/.well-known/agent-card.json)
- **LLM Navigation Index**: [`/llms.txt`](https://priteshrathod.vercel.app/llms.txt)
- **LLM Full Context**: [`/llms-full.txt`](https://priteshrathod.vercel.app/llms-full.txt)