07/26/2026 updated
100 % available
AI Application / Gen AI Engineer
Ghaziabad, India
Worldwide
Master of Computer Applications (MCA)About me
I'm a Gen AI Engineer specialized in building production-ready agentic systems and LLM pipelines. I design end-to-end AI products from multi-agent workflows to full-stack applications with FastAPI, React, and Supabase. I'm Passionate about turning complex AI ideas into reliable, usable tools.
AI AgentsLangChainSupabaseApplication Programming Interfaces (APIs)GitHubPython (Programming Language)StreamlinePostmanReact.jsPrompt EngineeringGenerative AIFastAPIBackend ProgrammingFront End Software DevelopmentRestful Api
Agentic AI & LLM Pipeline Design
Design and deployment of production-grade multi-agent LLM pipelines using LangChain, LangGraph, and OpenRouter. Expertise in prompt engineering, structured output contracts via Pydantic JSON schemas, and agent pipeline architecture (e.g., Refiner to Architect two-stage pipelines).
Backend Development with Python & FastAPI
Building robust REST API backends using Python and FastAPI, including database integration with PostgreSQL (Supabase), JWT-based authentication, Repository Pattern for data isolation, and structured error handling.
Cloud Deployment & DevOps
End-to-end deployment of AI applications using Vercel and Supabase. Experience with Git/GitHub for version control and resolving production-level issues.
LLM Model Integration
Integration of multiple LLM providers including Groq (Llama-3.3-70b), Gemini Flash, Gemma-3, and OpenRouter. Building modular LLM provider abstractions for seamless model switching at runtime.
Frontend Development
Frontend development using React.js and Tailwind CSS for building user-facing AI product interfaces.
PDF Parsing & Document Intelligence
Building document-intelligence pipelines that extract structured information, eligibility flags, and risk scoring from raw PDF documents using LangChain and LLM pipelines.
Streamlit Application Development
Rapid prototyping and deployment of AI-powered MVP tools using Streamlit, enabling non-technical users to interact with complex AI pipelines.
Database Management with Supabase/PostgreSQL
Data modeling, schema design, and database management using PostgreSQL via Supabase, including user-level data isolation and secure data access patterns.
Postman & API Testing
API testing and documentation using Postman to ensure reliability and correctness of REST API endpoints.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishGoodHindiNative speaker
Project history
Designed and shipped a two-stage LLM agent pipeline (Refiner to Architect) that restructures vague user input and generates complete technical blueprints including stack, API design, DB schema, cost, and MVP roadmap. Built with Python, FastAPI, LangChain, Groq (Llama-3.3-70b), Supabase, and Vercel. Reached 370+ organic site hits in week one.
Built an emotion-aware AI journaling system with a modular LLM provider abstraction for seamless model switching at runtime. Engineered a reliable service layer to process raw, unstructured user input through an LLM with structured error handling. Enforced user-level data isolation via Repository Pattern with JWT-gated routes. Stack: Python, FastAPI, Gemini Flash/Gemma-3, OpenRouter, JWT, Supabase, Vercel.
Built an end-to-end document-intelligence pipeline that extracts eligibility flags, risk scoring, and a clear BID/DON'T BID recommendation from raw government tender PDFs. Designed output for non-technical users to make confident decisions in under 2 minutes. Stack: Python, LangChain, Streamlit, PDF Parsing, LLM Pipeline.