About Rahul Kolekar

Rahul Kolekar

Hi, I’m Rahul Kolekar

AI Engineer – I build practical AI/ML tools, agentic workflows, and production-style RAG systems. Sharing code-first guides and open-source projects.

AI/ML breakthroughs, systems design strategies, software engineering deep-dives, and case studies delivered weekly.

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About me

  • I build practical AI/ML tools and learning resources
  • Interested in: LLM systems, RAG, agentic workflows, LLM evaluation, MLOps, and applied ML
  • I enjoy writing clear, code-first guides with real examples
  • Open to collaborations, open-source contributions, and building useful AI products

Tech stack

Python
JavaScript
FastAPI
Next.js
LangChain
AWS
Docker
Git

Featured projects

Some things I am proud of. If you like them, please star the repo.

Tooling + Apps

  • DeepSeek-Super-OCR – Privacy-first OCR super-app with a FastAPI backend, Next.js frontend, and a Gradio demo. Repo
  • DataPrep-Lite – A lightweight Python library for common data cleaning and preprocessing tasks. Repo
  • gemini-file-search-gradio-demo – Gradio demo for Gemini File Search: create/manage stores, index files, ask grounded questions. Repo

Guides + Learning

  • LangChain + LangGraph Agentic eBook – Study guide from basic LLM calls to production-style RAG, workflows, and multi-agent patterns. Repo
  • AWS Certified ML Specialty Study – Static HTML eBook covering AWS AI/ML services for MLS-C01 prep. Repo
  • free-aiml-learning – Code-first AI/ML curriculum from zero to production. Repo

Datasets + Experiments

  • awesome-ai-prompts – Curated dataset of 100 high-quality prompts for LLM evaluation and prompt engineering. Repo
  • AI-Learning-Lab – Visual, interactive ML learning in the browser with real-time training and dynamic demos. Repo
  • clip-face-attribute-classifier – Fine-tuned CLIP model repo with documentation and usage notes. Repo

What I am focusing on right now

  • Building agentic AI workflows that are robust, testable, and production-friendly
  • RAG patterns: indexing strategies, retrieval tuning, grounding, evaluation
  • Shipping demos that feel like products: clean UI, fast iterations, good docs

Writing / Updates

Website: https://rahulkolekar.com/

Lets connect

If you are working on AI engineering, LLM evaluation, RAG, or MLOps, I am always happy to chat.