A Computer Science Master's student at the University of Maryland, College Park (B.S. CS @ UMD '26). I'm passionate about leveraging data and technology to solve real-world problems, with a particular interest in Machine Learning as both a career path and a field of continuous learning.
This GitHub showcases my projects and analytical work, reflecting my journey in computer science and data science.
- Machine Learning: Deep learning, predictive modeling, statistical learning.
- Data Science: Data analysis, feature engineering, hypothesis testing, statistical inference.
- Other: Financial Technology, AI Ethics & Regulations, Economics.
- Client Self-Service Portal @ SOS Technology Group: Currently developing an automated self-service platform in my role as a Backend Engineer Intern, Sysops. The portal focuses on streamlining client interactions and automating system processes to drastically improve operational efficiency and response times.
- MassText CRM for Meor Maryland: Engineered and deployed a full-stack iOS application for a non-profit organization to manage bulk SMS communications. I built the frontend natively in Swift and architected a custom backend server using Python/Flask, SQLite, Nginx, and Gunicorn hosted on DigitalOcean. To handle production messaging, I integrated the live Twilio API, successfully navigating A2P 10DLC registration to ensure compliant, real-world messaging throughput. Short Demonstration
- Database Systems Research: Authored an in-depth research paper titled "Evaluating Iceberg-Style Optimistic Concurrency Control for OLTP Workloads." The paper analyzes geo-replicated transaction systems and compares the throughput, latency, and availability of MVCC and OCC alongside distributed architectures like Spanner and Calvin. Read the paper on ResearchGate
