I build practical AI-powered applications that connect large language models with business data, APIs, databases, and real-world workflows.
My current focus is building and understanding AI applications using Python, FastAPI, SQL, RAG pipelines, LLM APIs, AI agents, and modern web technologies.
- Generative AI & LLM applications
- Retrieval-Augmented Generation (RAG)
- AI agents and tool-based workflows
- Python & FastAPI backend systems
- SQL and data-driven applications
- React / Next.js applications
- AI-powered automation
AI & LLMs
LLMs RAG AI Agents Prompt Engineering Google Gemini OpenAI
Backend
Python FastAPI REST APIs SQL SQLite
Frontend
React Next.js JavaScript
Tools & Deployment
Git GitHub Docker Vercel
AI-powered enterprise knowledge assistant using retrieval-augmented generation.
Focus: Python • FastAPI • RAG • LLMs • Vector Search • Next.js
AI-powered data analysis application that works with structured database data through natural-language interaction.
Focus: Python • SQL • AI Agents • LLMs • Database Workflows
Reinforcement-learning-based application for optimizing email content and outcomes.
Focus: Python • Reinforcement Learning • Machine Learning
Developed software for a real-world hotel client, translating operational requirements into a working management application.
Developed and delivered a professional web application for a real-world legal consultancy client.
Contributor to Traceloop OpenLLMetry, working on Python SDK dependency handling and dynamic module-loading improvements.
LinkedIn: https://www.linkedin.com/in/amit-seth-dev/
Portfolio: https://amit-portfolio-lemon.vercel.app/
GitHub: https://github.com/Amyseth