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Aakif Mushtaq Siddiqui

@aakif

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AI-focused engineer building agentic RAG systems with LangGraph, FastAPI, and Next.js for real-world impact.

India

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What I'm looking for

I’m looking for a team where I can build agentic AI products—stateful RAG, multimodal search, and fast web experiences—owning end-to-end engineering while shipping improvements that are grounded, reliable, and user-focused.

I build agentic AI applications that turn messy context into grounded answers and useful workflows. In my projects, I focus on stateful orchestration—using LangGraph pipelines with intent routing, conditional execution, and structured outputs.

In Sentinel, I created a browser side-panel assistant that understands live webpage context and supports Chat, Deep Research, and Notion Sync from one interface. I implemented session-aware RAG with ChromaDB + embeddings, and integrated Tavily for evidence-backed synthesis along with Notion API for automated knowledge capture.

I also design robust end-to-end experiences. SnapCook uses GPT-4o Vision + ChromaDB to transform pantry images into structured recipe queries, while RepoLens builds a local-first, multi-agent codebase understanding system with FastAPI and a Next.js UI—optimized through techniques like lazy embeddings and shallow cloning. I’m eager to bring this engineering mindset to a team that values clean architecture and measurable performance.

Experience

Work history, roles, and key accomplishments

Multimodal Recipe RAG App

SnapCook

Architected a multimodal RAG pipeline that converts pantry images into structured queries using GPT-4o Vision to retrieve recipes from a ChromaDB vector store. Implemented a stateful LangGraph “Sous-Chef” agent with SQLite persistence and an async FastAPI backend for indexing a 230k+ recipe dataset.

Next.js fastAPI LangGraph GPT 4o ChromaDB SQLite Async Programming Data Indexing

AI Browser Side-Panel Assistant

Sentinel

Built an AI-powered browser side-panel assistant that uses live webpage context to support chat, deep research, and Notion sync from one interface. Designed stateful LangGraph pipelines with intent routing, session-aware RAG (ChromaDB + embeddings), and evidence-backed synthesis via Tavily.

Python fastAPI LangGraph ChromaDB RAG Embeddings Tavily Notion

Local-First Code Understanding Agent

RepoLens

Built a local-first, agentic AI system that analyzes GitHub repositories using natural-language queries without relying on cloud infrastructure or local LLMs. Implemented a multi-agent LangGraph reasoning pipeline and a FastAPI backend with shallow cloning, lazy ChromaDB embeddings, and a Next.js + ShadCN interface for grounded, file-referenced answers.

Next.js fastAPI LangGraph ChromaDB OpenAI API Local First Architecture Lazy Embeddings Shallow Cloning