Ishan Avasthi

AI Engineer

I build LLM-powered systems, agentic workflows, and developer tools.

About

I'm a CS undergrad at BITS Pilani working on AI engineering. I build the layer between raw language models and working products: pipelines that retrieve the right context, agents that take actions, and tooling that makes the whole thing reliable. I care about testing things properly, making systems easy to work with, and shipping stuff that holds up in the real world.

Projects

AlphaDesk: Multi-Agent Equity Research System

Built a full-stack multi-agent research platform that automates Indian stock analysis with LangGraph, live NSE market data, RAG over financial filings, human approval checkpoints, and a real-time research dashboard.

LangGraph
Next.js
FastAPI
ChromaDB
ONNX
LangSmith

ChatWithPDF: AI Agentic PDF Chatbot

Developed a full-stack, AI-powered document assistant enabling users to upload PDFs and interactively query them using a RAG pipeline with an agentic reasoning loop, inspired by NotebookLM.

Python
LangChain
LangGraph
ChromaDB
Next.js
Tailwind CSS

RecruitEnv: RL Candidate Triage Environment

Built OpenEnv-compliant RL environment simulating AI-driven candidate screening across difficulty levels.

Python
FastAPI
NumPy
Docker
Pytest

Swiggy Claw: AI Ordering Agent

Built a full-stack AI ordering agent for food, groceries, and restaurant bookings using plain English, powered by Swiggy's MCP platform, Groq tool calling, resilient retries, and a streaming Next.js chat UI.

Next.js
TypeScript
Tailwind CSS
MCP
Groq
OpenAI Tool Format

Code Review Agent

Built a GitHub App that autonomously reviews pull requests using LLMs and posts structured feedback directly on PRs.

TypeScript
Node.js
Express.js
Octokit
Docker
GitHub Actions
Gemini API