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raghavnimbalkar1/README.md

Raghav Nimbalkar

ML · AI · DS · Game Development & Design

From real-time shader pipelines to agentic graph-based reasoning systems. Currently pursuing M.Tech in Data Science & AI.


Work

Agentic GraphRAG for Root Cause Analysis  ·  In Progress
Graph-structured retrieval and skill-graph reasoning over cascading failure traces in large-scale cloud microservices. Built on LangChain and LangGraph. Targeting autonomous, explainable RCA without human-in-the-loop triage.

Screenplay GPT-2 Fine-Tuning Study
Comparative study of full-parameter fine-tuning vs. LoRA adaptation for structured creative text generation using GPT-2 Small (124M). Trained across AMD DirectML, Apple Silicon, and NVIDIA T4 (CUDA) backends. Includes a stateful checkpoint recovery from a mid-run hardware preemption at step 5,600/9,272 — resumed with zero loss discontinuity. Both fine-tuned model weights published to Hugging Face Hub. Final validation loss: 1.3194.

StudyBuddy — Local RAG Assistant
Fully offline retrieval-augmented generation over personal document corpora (PDF/PPT). SentenceTransformers for embeddings, FAISS for vector search, Llama 8B via LM Studio for inference. Zero cloud dependency; citation-grounded answers with source chunk attribution.

Multi-Class News Classification
End-to-end NLP pipeline classifying articles across 42 categories (LinearSVC) and 13 consolidated super-categories (LinearSVC + XGBoost). Modular 4-stage architecture: scraping → preprocessing → training → analytics. Ships with an interactive Streamlit dashboard supporting live URL scraping, batch CSV processing, and per-category confusion matrix visualization.

Live Win Probability Engine
Real-time Bundesliga match prediction via Monte Carlo simulation over Poisson-distributed Elo ratings. FastAPI backend with WebSocket delivery of mid-match probability updates. MySQL persistence, Redis caching with mock fallback, and full SQLAlchemy ORM layer.


Technical Profile

Languages        C · C++ · Python 
Graphics         OpenGL · GLSL Shader Development · Pixel Art Pipeline
AI / ML          LangChain · LangGraph · FAISS · HuggingFace Transformers
                 Fine-tuning (Full + LoRA/PEFT) · RAG · Graph Neural Reasoning
ML Ops           Checkpoint Recovery · Mixed Precision (FP16) · Multi-backend Training
Backend/DB       FastAPI · WebSockets · SQL · Redis 

Published

Two fine-tuned models and tokenized dataset used to fine tune the model on Hugging Face — GPT-2 Small adapted for screenplay generation, trained across multiple hardware backends with full training telemetry documented.
huggingface.co/raghavnimbalkar1


Stats

GitHub Streak

Currently

Designing procedural shaders and pixel art pipelines for a retro-aesthetic game project  ·  Researching agentic graph traversal for fault localization in distributed systems  ·  Learning OpenGL internals at the pipeline level


LinkedIn  ·  Hugging Face  ·  Email  ·  Kaggle

Pinned Loading

  1. Toffin-Engine-A-Lightweight-2D-Game-Engine-in-Cpp Toffin-Engine-A-Lightweight-2D-Game-Engine-in-Cpp Public

    A foundational 2D game engine built from the ground up in modern C++ (17/20). It features a custom physics system with gravity and AABB collision resolution, alongside a ray casting module for spat…

    C++

  2. Local-RAG-pipeline-for-college-notes-study-material Local-RAG-pipeline-for-college-notes-study-material Public

    Ingest PDFs/PPTs → embed with SentenceTransformers → store in FAISS → retrieve chunks → query with an open-source LLM (LM Studio). Includes a tiny C++ FAISS wrapper for fast search

    Python

  3. focus-streak-extension focus-streak-extension Public

    Track time spent on sites, set goals, and build study streaks.

    JavaScript