Revature
Software Engineer Intern
March 2025 - Present
- Developing enterprise-level applications using Spring Framework, Hibernate, and RESTful APIs to build scalable, high-performance software solutions.
- Applying object-oriented programming, data structures, and algorithms to deliver robust Javabased projects with real-world impact.
- Collaborating in agile teams to design, develop, and test full-stack applications, integrating Java, SQL, HTML, CSS, and JavaScript for seamless functionality.
Sports Logic AI
Founding Software Engineer & Data Analyst
June 2024 - January 2025
- Developed and deployed a full-stack web application providing data-driven sports analytics and strategic tools, serving over 100 users with real-time insights.
- Implemented automated data processing pipelines with Node.js and Express.js, analyzing win probabilities by processing over 10,000 daily odds entries. Utilized efficient algorithms to deliver actionable insights via interactive React visualizations.
- Utilized MongoDB for scalable data storage and management. Enhanced application reliability by integrating CI/CD pipelines with GitHub Actions, ensuring seamless updates.
Boar's Head Provisions
Business Analyst Intern
June 2023 - August 2023
- Conducted data analysis on sales and inventory datasets using SQL and Python, identifying trends that informed strategic decisions and improved operational efficiency by 10%.
- Collaborated with cross-functional teams to gather and document business requirements, streamlining communication between technical and business stakeholders for process optimization.
- Developed dashboards with Tableau to visualize key performance indicators, enabling leadership to make data-driven decisions for supply chain improvements.
Skills
Python
Javascript
Typescript
SQL
Java
React
Node.js
Spring Boot
Django
PostgreSQL
MongoDB
Git
AWS
TailwindFeatured Projects
An advanced arbitrage trading bot for automatically detecting and exploiting price discrepancies between Polymarket and Kalshi prediction markets.
Created SportsLogicZone, a data-driven platform providing fantasy rankings, arbitrage opportunities, and high EV bets using analytics and modeling.
Liquidity Provision Yield Protocol enabling secure and simplified stablecoin yield generation.
Used machine learning through scikit-learn to predict the outcome of countries Olympic metals.
This project builds a Random Forest Classifier to predict daily Microsoft stock price movements using historical data from Yahoo Finance, including features like closing price, volume, and rolling averages, with an initial accuracy rate of ~60% through backtesting.
Data scraping in Python with pandas and BeautifulSoup to get player data for Fantasy Football Predictions.