AI & Machine Learning Engineer
Building data-driven systems, intelligent models, and applied research solutions. Focused on predictive modeling, NLP, and end-to-end ML applications.
8+
Featured Projects
6+
Research Areas
15+
Technologies
∞
Curiosity
Deep dives into AI/ML concepts and implementation details
A practical guide to building RelayContext, a Node.js CLI tool that captures and persists structured AI coding context — reasoning, decisions, and task state — alongside Git branches.
A deep dive into building a production-ready system for dynamic pricing using machine learning.
An end-to-end machine learning project to predict silver prices for the Indian market — from model training to live deployment on Hugging Face Spaces.
A hands-on tutorial on fully fine-tuning Google's Gemma 3 270M model using Hugging Face libraries to extract food and drink items from text with structured output.
A deep dive into building a production-ready Retrieval-Augmented Generation system, covering architecture decisions, chunking strategies, and performance optimization.
A comprehensive analysis of machine learning algorithms for cancer prediction, examining accuracy, interpretability, and clinical applicability.
Research and engineering work across ML, NLP, and analytics
A Node.js-based CLI tool that captures and persists structured AI coding context-reasoning, decisions, and task state-alongside Git branches. It enables seamless continuation of AI-assisted development across sessions, IDEs, and devices without re-explaining project architecture or progress.
An end-to-end machine learning pipeline for predicting housing prices, built with ZenML for orchestration and MLflow for experiment tracking and model management.
An end-to-end machine learning project to predict silver prices for the Indian market, served through a Flask-based REST API.
A FastAPI-based Retrieval-Augmented Generation API using Ollama's TinyLlama and ChromaDB for generating contextual responses to user queries.
Interested in collaboration, research opportunities, or just want to discuss AI/ML topics? I'd love to hear from you.