Open to opportunities

Kunal Malik

@kunalmalik

Message

I build RAG pipelines and multi-agent LLM systems for production AI products.

India

Message

What I'm looking for

I'm looking for SDE or ML Engineer roles in product-focused teams where I can build and deploy practical AI systems, contribute across the ML lifecycle, and grow through hands-on engineering work.

I've built WORKERALLY, an AI-powered Indian Labour Law audit engine that achieved 80–90% semantic retrieval accuracy and reduced contract review from 3+ hours to under 10 minutes. I also built multi-agent research systems using LangGraph, including a self-critiquing news pipeline and a 10-agent equity research terminal with programmatic fact-checking.

At Bluestock, I shipped production FastAPI backend features in Python and Java, collaborated on REST API contracts, and resolved critical release bugs. My work spans RAG, deep learning, Dockerised deployments, CI/CD, and reproducible AI systems, supported by a first-author IEEE publication on time-series imputation.

Experience

Work history, roles, and key accomplishments

Current

Independent AI/ML Projects

Current

Remote

Sep 2025 - Present (11 months)

Designed and deployed 4 AI systems including a multi-agent research pipeline, equity research terminal, RAG audit engine, and ML pipeline platform with Dockerised backends and CI/CD workflows. Trained and evaluated deep learning model variants in PyTorch and maintained reproducible deployments on Render and Streamlit Cloud.

Python PyTorch Docker CI CD LangGraph RAG Streamlit Render

SDE Intern

Bluestock

Jul 2025 - Aug 2025 (1 month)

Designed and shipped a production FastAPI endpoint integrated with the backend serving active users within an Agile sprint workflow. Built backend features in Python and Java, contributing to RESTful API design and integration across release cycles.

fastAPI Python Java REST APIs Agile Backend Development