All Projects
A deeper dive into my machine learning models, applications, and open-source contributions.
CRAG
Personal second brain with Corrective RAG — multi-query retrieval, batched grading, web search fallback, cross-encoder reranking, and a Streamlit chat UI for querying Markdown notes. Designed for fast information extraction and precise referencing of technical documents.
DistCache
A high-performance, persistent in-memory caching system written in Python. Features an O(1) LRU eviction policy, thread-safe concurrency, atomic JSON snapshots, and a robust REST API via FastAPI.
FastAPI E-Commerce Backend
A production-grade e-commerce backend built with FastAPI and a robust microservices architecture. Features an API Gateway, Auth, User, Product, Order, and Notification services.
Spam Email Classifier
Machine learning model designed to accurately classify incoming emails as spam or ham utilizing natural language processing (NLP) techniques. Extensively trained on a large corpus of text to minimize false positives.
Iris RainforestML
A complete Machine Learning project built in Google Colab using the Iris dataset. Includes deep Exploratory Data Analysis (EDA), advanced data visualization techniques, model training using Random Forest classifiers, and accuracy evaluation pipelines.