The Digital Identity Management System (DIMS) is a blockchain based application aimed to provide secure method of storing and sharing digital credentials, certificates and degrees. It utilizes decentralized networks to eliminate storage of important credentials on vulnerable servers that are prone to hijacking and hacking. The blockchain architecture makes sure that the credentials are tamper-proof by generating Non-fungible tokens of the credentials. It uses smart contracts writen in clarity and is built on Stacks Blockchain, Node.js and React Framework, paired with Gaia as the cloud provider for storing secured credentials.

A Next.js application I kickstarted to manage a large catalog of products and stock across locations, with scheduled syncs from Fishbowl/DSCO into Supabase. It provides fast filtering and size-system views, approval and sales-order flows, and rich export tooling: Excel (with and without pictures), CSV, PDF, plus audit emails for compliance. Cron endpoints keep inventory fresh and prune anomalies, while server actions and route handlers power secure operations, checkout, and buyers’ matrix reports.

I expanded the automation and testing framework by introducing Azure DevOps integration to support better test case management and reporting. I worked extensively with .NET Framework WPF and the Azure DevOps API, building tools that enabled seamless synchronization between test automation and DevOps pipelines. These contributions not only reduced manual QA overhead but also enhanced the overall efficiency and reliability of our testing processes

I contributed to the development of a Next.js App Router application built with TypeScript, Supabase, and AWS S3. My work focused on stabilizing and improving the existing codebase by resolving critical file upload issues and fixing integration problems that affected client workflows. In addition, I implemented several UX enhancements, improving navigation, reliability, and responsiveness, which resulted in a smoother experience for end users and increased adoption of the platform.

Woodland is an electron application that stores currently installed software on your personal computer. The application allows faster access to your programs so that they can be launched without opening their folder. The launcher overlays on your current screen and showcases the installed software which can be launched with one click.

Wall Panther is a wallpaper app which lets you view, download, and set wallpapers on both home and lock screen. The app takes wallpapers from popular mobile wallpaper subreddits on Reddit, and puts them in one single place while giving credits to the original artists of the wallpaper. It is built using Java based Android and is available on the Google Play Store.

CONTEXT BASED LEARNING WITH OPEN AI

A research project focused around Chat-GPTs APIs utilizing a much smaller dataset of products. This AI project learns a set of products and their ratings from amazon. Chat-GPTs APIs are then used to respond on questions related to these products in this context only, rather than responding on them generally. The intended research about customizing datasets and Open AI proved to be successful.

PropsKit

A realtime data scraper designed to work headless through Amazon AWS cloud instances to fetch data from popular real estate websites including Zillow, Trulia, Realtor and dashboard them for a better experience and ease of finding better deals. The project was developed with Node using Puppeteer, Cheerio for parsing the data and React for the front end. Amazon EC2 was utilized for deployments and running the service.

A set of tools based on multiple data scraping methods, which collect and build a database of most information related to DraftKings games including NFL, MLB and NBA. The tools helps generate player rankings and other information helpful in judging player performance and other criteria required.