moodbeats
AI music discovery — describe a vibe, get a curated playlist via RAG + neural reranking.
↗ GitHubHi, I'm Samar Nathani 👋
AI/ML developer building RAG pipelines, LLM agents & intelligent systems
Python · LangGraph · Full-stack · Open source contributor
About
I build AI systems that turn messy information into useful answers — from music discovery with RAG to multi-agent deliberation judges. I care about clear interfaces, measurable results, and shipping things people can actually use.
When I'm not training models, I'm contributing fixes to open-source projects like pytorch, supabase, and faststream.
Languages
- Python
- Java
- SQL
- JavaScript
- HTML/CSS
AI / ML
- RAG pipelines
- LangGraph / LangChain
- PyTorch
- Transformers / Hugging Face
- Embeddings & vector search
Web
- Vue 3
- Flask
- FastAPI
- REST APIs
Tools
- Git
- Docker
- Supabase
- FAISS
- Postgres
Projects
smart-mcq-solver
Ensemble ML + RAG for MCQs using ELECTRA, MiniLM, Qwen, and Wikipedia FAISS index.
↗ GitHubai-research-agent
Autonomous research assistant with LangGraph, Supabase pgvector, and multi-step reasoning.
↗ GitHubjev-deliberation-judge
Multi-agent deliberation system — blind jurors, vote/weight/veto aggregation.
↗ GitHubreadme-free.ai
Analyzes recorded viva/meeting sessions with LLMs — Drive links to graded reports.
↗ GitHubcomment-cat-prediction-challenge
Ensemble ML pipeline for comment category prediction (Kaggle-style challenge).
↗ GitHubEvent-Booking-App
Full-stack ticket booking with interactive seat selection and cyberpunk glassmorphic UI.
↗ GitHubNo projects match this filter.
Open Source
Merged pull requests into:
Relevant Coursework
Programming
- Programming in Python
- Programming Concepts using Java
- Programming Data Structures & Algorithms using Python
- Computational Thinking
Application Development
- Modern Application Development I & II
- Database Management Systems
- Business Data Management
- Tools in Data Science
Machine Learning & AI
- Machine Learning Foundations
- Machine Learning Techniques
- Machine Learning Practice
- Introduction to Deep Learning & Generative AI
Mathematics & Statistics
- Statistics for Data Science I & II
- Mathematics for Data Science I & II