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Building sick tools!
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Building sick tools!

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ashusnapx/README.md

Ashutosh Kumar 🚀

GenAI Engineer | ML Fine-Tuning Specialist | Full-Stack Developer

LinkedIn GitHub Email Portfolio


🔥 About Me

I build production-grade GenAI systems—from fine-tuning LLMs (Llama, Mistral) with LoRA to deploying FastAPI inference APIs and optimizing models with AWQ/GPTQ. My work spans RAG pipelines, multi-agent workflows, and voice AI, with a focus on scalability, latency, and cost-efficiency. I thrive at the intersection of research and engineering, turning cutting-edge ML papers into working code.

Current Focus:

  • Fine-tuning open-weight models (LoRA, DPO, RLHF)
  • Building inference APIs (FastAPI, vLLM, TGI)
  • Quantization (AWQ, GPTQ) and MLOps (Weights & Biases)
  • Voice AI (ASR, TTS, conversation flows)

🛠️ Tech Stack

GenAI & ML

PyTorch Hugging Face LangChain LoRA AWQ GPTQ

Backend & APIs

FastAPI Python Node.js Docker

Frontend

TypeScript React Next.js Tailwind CSS

Databases & Cloud

PostgreSQL FAISS AWS Vercel

DevOps & MLOps

Git GitHub Actions Weights & Biases


🏆 Featured Projects

Production-grade multi-document AI retrieval engine

  • Built with PyTorch, FastAPI, FAISS, and PostgreSQL
  • Hybrid search (vector + BM25) with neural reranking
  • Dockerized deployment with async-first architecture
  • Tech: Python, FastAPI, PyTorch, FAISS, PostgreSQL, Docker

GenAI-powered UPSC answer evaluation platform

  • Real-time answer rewriting and rubric scoring
  • RAG-based pipeline with claim extraction and verification
  • Tech: TypeScript, Next.js, React, Supabase, PostgreSQL

AI-powered book recommendation system

  • Conversational AI with LangGraph and CopilotKit
  • Semantic search with PostgreSQL vector embeddings
  • Tech: Next.js, LangGraph, CopilotKit, PostgreSQL

AI-driven LinkedIn Post Generator

  • Multi-agent workflows for structured content generation
  • Tech: TypeScript, Next.js, Tailwind CSS, Gemini

📈 GitHub Stats

Ashutosh's GitHub stats Top Langs


🎯 What I’m Learning

  • Advanced Fine-Tuning: DPO, RLHF, and custom training loops
  • Model Serving: vLLM, TGI, and llama.cpp for optimized inference
  • Voice AI: ASR/TTS pipelines for conversational agents
  • MLOps: Experiment tracking with Weights & Biases

💡 Why I’m Excited About GenAI

I believe GenAI is the defining technology of our era, and I’m obsessed with making models faster, cheaper, and more reliable in production. Whether it’s fine-tuning a model for a niche use case or building a retrieval engine that actually works, I love turning research into real-world impact.


📩 Let’s Connect!

"Building the future of AI, one prompt at a time." 🚀

Pinned Loading

  1. habit-builder habit-builder Public

    TypeScript

  2. Leet-ka-chittha Leet-ka-chittha Public

    Collection of LeetCode questions to ace the coding interview!

    C++

  3. PDS PDS Public

    Jupyter Notebook 1

  4. Striver-455-Questions Striver-455-Questions Public

    C++