Enjoy My GitHub Templates repos available at Stars tab. They are a collection of curated templates for a quick project setup and code organization. A few repositories appear in more than one category due to the interdisciplinary nature of the topics and the overlap between categories.
- LLMs A focused guide to scalable LLM inference using Ray Data, from simple batch execution to advanced pipeline optimization for real-world applications.
- AI Engineering Building AI‑powered applications: Best for those who are interested in research-driven AI development and cutting-edge AI applications.
- ML Engineering Making production-ready ML models: Best for those who are interested in scalability, automation, and system engineering for ML.
- Recommender Systems Hands-on Recommender Systems Roadmap — Dockerized templates from Collaborative Filtering to deep, real-time & bandit recommenders.
- Causal Inference Even without experiments, causal inference reveals what truly drives outcomes — empowering smarter strategies, across business, health, and policy.
- A/B Testing As the gold standard for causal inference, A/B testing enables companies to optimize products in real time with live users.
- Physics & Engineering Practical FORTRAN-based tutorials, modeling, and simulations for science and engineering
- Personal Branding An ATS-optimized resume template and a polished GitHub profile to showcase your skills and story effectively.
- LaTeX Dev Copilot Next-generation LaTeX development: Copilot-powered writing and seamless live updates inside VS Code/Cursor, all Dockerized. Bye Overleaf, hello future.
- Development Environment Setups Powerful development environments that boost productivity and streamline workflows across platforms.
- In-Progress Templates A collection of template repositories currently under development, showcasing experimental features and unfinished implementations.
| Skills | Technologies |
|---|---|
| Data Science |   |
| LLMs & Generative AI |     |
| AI Engineering |        |
| ML Engineering |       |
| Deep Learning |     |
| Machine Learning |  |
| Cloud Platforms |    |
| Time Series Analysis |        |
| Pkg / Env Managers |      |
| Big Data |       |
| Python |       |
| SQL |       |
| R |    |
| Git |    |
| Image Processing |    |
| Visualization |     |
| ArcGIS |  |
| Editors |       |