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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.
- 🔭 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
Some things I’m proud of. If you like them, please ⭐ the repo!
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DeepSeek-Super-OCR
Privacy-first OCR super-app with a FastAPI backend, Next.js frontend, and a Gradio demo.
👉 https://github.com/rahulkolekardev/DeepSeek-Super-OCR -
DataPrep-Lite
A lightweight Python library for common data cleaning and preprocessing tasks.
👉 https://github.com/rahulkolekardev/DataPrep-Lite -
gemini-file-search-gradio-demo
Gradio demo for Gemini File Search: create/manage stores, index files, ask grounded questions.
👉 https://github.com/rahulkolekardev/gemini-file-search-gradio-demo
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LangChain + LangGraph Agentic eBook
Hands-on study guide from basic LLM calls to production-style RAG, workflows, and multi-agent patterns.
👉 https://github.com/rahulkolekardev/langchain-langgraph-agentic-ebook -
AWS Certified ML Specialty Study (Offline eBook)
Static HTML eBook covering AWS AI/ML services for MLS-C01 prep.
👉 https://github.com/rahulkolekardev/AWS-Certified-Machine-Learning-Specialty-Study -
free-aiml-learning
Code-first AI/ML curriculum from zero to production.
👉 https://github.com/rahulkolekardev/free-aiml-learning
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awesome-ai-prompts
Curated dataset of 100 high-quality, safe-for-work prompts for LLM evaluation and prompt engineering.
👉 https://github.com/rahulkolekardev/awesome-ai-prompts -
AI-Learning-Lab
Visual, interactive ML learning in the browser with real-time training and dynamic demos.
👉 https://github.com/rahulkolekardev/AI-Learning-Lab -
clip-face-attribute-classifier
Fine-tuned CLIP model repo with documentation on classification tasks and responsible usage notes.
👉 https://github.com/rahulkolekardev/clip-face-attribute-classifier
- 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
- 🌐 Website: https://rahulkolekar.com/
- Website: https://rahulkolekar.com/
- GitHub: https://github.com/rahulkolekardev
- LinkedIn: https://www.linkedin.com/in/rahul-kolekar-988a05263/
If you’re working on AI engineering, LLM evaluation, RAG, or MLOps, I’m always happy to chat.