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ameynarwadkar/README.md

Hi, I’m Amey Narwadkar 👋

M.S. Scientific Computing @ Universität HeidelbergNLP / Deep Learning / GenAI
I build ML systems end-to-end and I’m obsessed with the math + engineering behind modern AI.

🔗 Portfolio: https://ameynarwadkar.github.io/
💼 LinkedIn: https://www.linkedin.com/in/amey-narwadkar-474332231/
🐙 GitHub: https://github.com/ameynarwadkar


🔭 What I’m working on

  • RAG systems: chunking + embeddings + retrieval + reranking + grounded generation
    • building pipelines for document ingestion → indexing → retrieval → answer synthesis
    • focusing on faithfulness / hallucination reduction and retrieval quality
  • GenAI projects: diffusion & text-to-image, LLM applications, and practical deployments
  • Modern LLM workflows: tool-use + agents, structured outputs, and evaluation

🌱 Research interests

  • Representation learning
    • contrastive / self-supervised learning, embedding geometry, intrinsic dimensionality
  • Generative models
    • diffusion, multimodal learning, conditioning + control
  • Robustness & evaluation
    • systematic evaluation pipelines, failure modes, adversarial prompts, calibration

⭐ Featured projects

Project Area What it does Link
Tennis Analysis System Computer Vision Player detection + ball tracking + court keypoints + speed metrics + mini-court visualization https://github.com/ameynarwadkar/Tennis-Analysis-System
Text-to-Image Generation (Stable Diffusion) GenAI Text-conditioned image generation with a Stable Diffusion implementation https://github.com/ameynarwadkar/Stable-Diff-Model
Food Ordering Chatbot NLP Conversational ordering flow + user interaction demo https://ameynarwadkar.github.io/FoodChatbot/
Sentiment Trading Bot NLP + Finance News sentiment-driven strategy with execution/backtesting pipeline https://github.com/ameynarwadkar/sentiment-trading-bot
ML Algorithms from Scratch ML Foundations Core ML algorithms implemented from scratch (math + NumPy) https://github.com/ameynarwadkar/ML-algorithms-from-scratch

🧰 Tech stack

Core

Python JavaScript R

Deep Learning / GenAI

PyTorch TensorFlow OpenCV Hugging%20Face

RAG / LLM tooling

LangChain LlamaIndex Pydantic FAISS Ollama

Data / Analytics

pandas MySQL MongoDB

Tools / Cloud

Linux Ubuntu Google%20Cloud

Framework

CUDA Docker FastAPI GraphQL Kubernetes


📌 A bit more about me

  • 🎓 Math background → I like turning theory into working systems.
  • ⚡ Fun fact: I’m secretly a Mathematician.

🤝 Let’s connect

If you’re building RAG / GenAI / NLP systems, I’m always up for collaboration or research discussions.

Pinned Loading

  1. Tennis-Analysis-System Tennis-Analysis-System Public

    This computer vision project analyzes tennis match videos using cutting-edge techniques. It employs YOLOv8 for player detection, finetuned YOLO for ball tracking, and ResNet50 for extracting court …

    Jupyter Notebook 80 15

  2. Sentiment-Trading-bot Sentiment-Trading-bot Public

    This project, MLTrader Strategy, automates trading decisions using sentiment analysis of news articles, aiming to capitalize on market sentiment. It is integrated with Alpaca brokerage for executio…

    Python