Implementing a Contextual Bandit-based bidding optimizer using LinUCB to bridge the gap between Reinforcement Learning and Distributed Systems.

Lessume is a web application that streamlines resume management and candidate search. It uses AI to extract key insights from resumes, stores data securely in MongoDB, and enables recruiters to perform semantic searches powered by OpenAI models.

Developed a simple ETL pipeline using AWS services to transform and load data from a CSV file into a DynamoDB table. This project showcases the integration of AWS S3 and DynamoDB using Python scripts, demonstrating capabilities in cloud-based data processing.

Developed a web-based application to assess essays using the OpenAI ChatGPT API, leveraging Django for backend operations.

Discover how to create a 3D neighborhood model from 2D maps using computer vision techniques.

Utilizing advanced web scraping techniques to automate the collection of recipe data from diverse websites, creating a detailed and comprehensive recipe database.