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blade-runner-A/README.md

πŸ’« About Me:

πŸ”­ I’m currently working on
Building end-to-end GenAI systems, including Retrieval-Augmented Generation (RAG), LLM fine-tuning (QLoRA), orchestration, and monitoring on real GPU infrastructure.

πŸ‘― I’m looking to collaborate on
Open-source projects involving LLMs, RAG pipelines, AI agents, and production AI systems.

🀝 I’m looking for help with
Improving evaluation and monitoring strategies for GenAI systems and understanding real-world failure modes.

🌱 I’m currently learning
Machine learning fundamentals, deep learning, transformer architectures, and how to take GenAI systems from prototype to production.

πŸ’¬ Ask me about
RAG vs fine-tuning, LLM optimization (quantization, PEFT), FastAPI-based AI backends, and building GenAI systems end-to-end.

⚑ Fun fact
I learn AI by breaking systems and fixing them β€” that’s where the real understanding comes from.

🌐 Socials:

Discord Instagram LinkedIn Medium X [Mastodon](https://mastodon.social/@Anvin Shibu) email

πŸ’» Tech Stack:

Dart GraphQL LaTeX R TypeScript AWS Cloudflare Vercel Render .Net Flutter Flask PNPM React WebGL Vue.js Apache Nginx Firebase AmazonDynamoDB MariaDB MongoDB MySQL Redis SQLite Supabase Prisma Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow GitHub Actions GitHub GitLab Git Bitbucket Puppeteer Selenium Kubernetes Raspberry Pi Twilio OpenGL nVIDIA Steam

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

✍️ Random Dev Quote

πŸ” Top Contributed Repo


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  1. ai-engineering-hub ai-engineering-hub Public

    Forked from patchy631/ai-engineering-hub

    In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

    Jupyter Notebook 1