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btboilerplate/README.md

Hey there 👋

I'm Nishant, an AI & ML undergraduate who likes building practical AI systems.

I mostly work on agentic AI — RAG pipelines, LangGraph workflows, and Stable Diffusion pipelines with safety and moderation built in. I also fine-tune LLMs using LoRA and QLoRA when I want to see how far a model can stretch on limited compute.

This profile is where I build, experiment, and occasionally break things — real projects, half-finished ideas, and whatever I can't stop thinking about.

Tools & Tech

  • Languages: Python
  • AI / ML: PyTorch, Tensorflow, Scikit-learn, NumPy, Pandas
  • LLMs & Agentic AI: RAG, LangChain, LangGraph, Hugging Face Transformers, Vision Transformers, Sentence Transformers, LoRA, QLoRA, Fine-Tuning
  • Models I've worked with: Llama, GPT, Claude, Gemma, DeepSeek
  • Computer Vision: Stable Diffusion, OpenCV, InsightFace
  • Search & Retrieval: FAISS, Elasticsearch, Vector Search, Semantic Embeddings
  • Audio AI: Librosa, torchaudio (currently learning)
  • Tools: FastAPI, REST APIs, Docker, Git, GitHub, AWS, VS Code

A Bit About Me

  • 🎓 Studying AI & ML at Amity University
  • 🎌 Into anime — currently learning Japanese too
  • 🎮 Into gaming, and occasionally deep enough to mess with save files
  • 🎬 Movies are my favorite way to unwind

Pinned Loading

  1. rt-verification-agent rt-verification-agent Public

    An autonomous real-time verification agent. Note: This repository may be temporarily non-functional due to the loss of some project files. It will be restored and updated over time.

    Python

  2. stable-diffusion-v1.5 stable-diffusion-v1.5 Public

    Jupyter Notebook

  3. RAG-Systems-Lab RAG-Systems-Lab Public

    A modular RAG experimentation framework benchmarking BM25, vector, hybrid, and reranked retrieval using Recall@1, Recall@5, and MRR, designed as a foundation for future agentic RAG systems.

    Jupyter Notebook 1

  4. LORA-QLORA-on-Llama2 LORA-QLORA-on-Llama2 Public

    Implements LoRA and QLoRA parameter-efficient fine-tuning pipelines for LLaMA-2, demonstrating memory-efficient LLM adaptation workflows using HuggingFace Transformers and PEFT.

    Jupyter Notebook 1