* 🔭 I’m currently working on high-throughput LLM inference engines and production-grade RAG systems using LangChain, ChromaDB, and serverless architectures.
* 👯 I’m looking to collaborate on open-source GenAI frameworks, MLOps/LLMOps pipelines, and high-performance model optimization tools (vLLM, TensorRT, Triton).
* 🤝 I’m looking for help with scaling distributed GPU clusters and advanced quantization strategies for edge deployments.
* 🌱 I’m currently learning advanced LLM fine-tuning techniques (LoRA/QLoRA), agentic workflows, and real-time audio/speech AI systems.
* 💬 Ask me about Python, PyTorch, XGBoost, Vector Databases, building 6-phase automated ETL pipelines, or deploying AI apps to Hugging Face & Cloud.
* ⚡ Fun fact I transitioned from a Civil Engineering background to building production AI/ML systems and scored a 98.55% accuracy on Kaggle's MNIST challenge!
Pinned Loading
-
pdf-chatbot
pdf-chatbot PublicAn enterprise-grade, serverless RAG pipeline transforming multi-page PDF documents into interactive, context-aware knowledge networks using modern LangChain (LCEL) architectures.
Python 1
-
Wine-Quality-Prediction---Machine-Learning
Wine-Quality-Prediction---Machine-Learning PublicHere we will predict the quality of wine on the basis of given features. We use the wine quality dataset available on Internet for free. This dataset has the fundamental features which are responsi…
Jupyter Notebook 1
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.

