AI Engineer | IIT Kanpur B.Tech '24

Navneet Singh

I build agentic AI systems, workflow automation, scraping pipelines, and full-stack products that turn fuzzy ideas into production-ready software.

Black-and-white portrait of Navneet Singh holding a camera
Currently: AI systems, retrieval, automation, and chess apps.
LangGraph Hybrid code RAG Python React Docker Gemini API Stockfish

01 / Summary

Engineer for AI products that need to work outside the demo.

Hands-on experience across agent workflows, tool-calling strategies, repository-scale retrieval, data scraping systems, and backend platforms. Comfortable moving from messy requirements to working systems with measurable behavior.

02 / Work Experience

Recent work

Turing

Data Scientist

  • Designed prompts, agent workflows, and tool-calling strategies for Penguin's agentic AI systems using SFT and RLHF.
  • Built hybrid code RAG for Amazon SWE-Bench GitHub issue analysis with Python, Neo4j, Qdrant, BM25, and cross-encoder reranking.
  • Implemented LangGraph multi-hop retrieval over calls, imports, inheritance, and dependencies for grounded engineering Q&A.
  • Managed a 6-person team working on graph-based data representations for large-scale learning pipelines.

EEZY Labs

Data Engineer Intern

  • Built data scraping pipelines for venue websites and Instagram profiles, optimized with parallel processing.
  • Containerized and deployed scraping pipelines on GCP using Docker, with unit tests, validation checks, and TOR routing.
  • Automated data collection and analysis across 400,000+ websites.

03 / Selected Projects

Things I built

E4Square

GitHub

Self project | Feb 2026 - May 2026

Full-stack chess platform with multiplayer, bot play, puzzle training, clocks, rematches, Stockfish analysis, and responsive gameplay.

React, Node.js, Express, Socket.IO, Firebase, AWS, Nginx

AI Procurement Agent

GitHub

Self project | Jun 2026

Python-based agent for supplier discovery, qualification, outreach, reply routing, follow-ups, and next-step decisions with Gemini.

Python, SQLite, Google Gemini API, Gmail API, unittest, Git

Markowitz Portfolio Study

Finance & Analytics Club

IIT Kanpur

Portfolio optimization project using Python libraries to balance expected profit against calculated risk.

Python, NumPy, pandas, matplotlib, SciPy

04 / Skills

Toolbox

Languages & Web

C, C++, Python, SQL, JavaScript, Flask, Node.js, React, MongoDB, LaTeX

AI & ML

NumPy, pandas, scikit-learn, PyTorch, LangChain, LangGraph, Hugging Face, FAISS

Tools

Git, GitHub, AWS, Azure, Postman, Docker, Selenium, Codex, Claude Code

05 / Education & Extras

IITK and beyond

Indian Institute of Technology, Kanpur

Bachelor of Technology, 2020 - 2024

Inter IIT Tech Meet '22

Represented IIT Kanpur in Alpha Quest as part of an 8-member team.

Techweek Winner

Secured 1st place in a Science & Technology Council event against 100+ teams.

Finance & Analytics Club

Served as Secretary and helped organize a three-day national-level finance event.