About Me

I'm a recent Computer Science graduate from RIT with a combined accelerated Bachelor's and Master's degree. I focus on machine learning systems, networking, and full-stack software — building things that are both technically solid and actually useful.

I've worked two co-ops at Allegis Group, contributing as both a software engineer (Salesforce/Apex) and a data scientist (Vertex AI, predictive modeling). Most recently, I've been deep in federated learning research — building a heterogeneous client simulation framework for ADHD screening using eye-tracking data as my MS capstone.

Recent graduate — May 2026

Master of Science

Computer Science

Rochester Institute of Technology

Combined Accelerated Program

Bachelor of Science

Computer Science

Rochester Institute of Technology

Combined Accelerated Program

MS Capstone

BALLADEER

Federated learning for ADHD screening via heterogeneous eye-tracking simulation

Experience

Allegis Group

Software Engineering Intern (Co-op)

June 2024 – December 2024

Hanover, MD

  • Developed custom Salesforce solutions using Apex, addressing user stories and defects, and enhancing workflows
  • Collaborated within a SAFe Agile framework, participating in daily ceremonies to ensure delivery of high-quality solutions

Allegis Group

Data Scientist / Analyst / Engineer (Co-op)

June 2023 – August 2023

Hanover, MD

  • Applied skills in data science and analysis including working with AI labeling models and achieving over 94% prediction accuracy
  • Developed and validated predictive interest models using Vertex AI on Google Cloud Platform within an Agile team

Skills

Languages

  • Python
  • C / C++
  • JavaScript
  • Java
  • SQL (Postgres)
  • C#
  • Apex
  • Shell Scripting

ML & Data

  • PyTorch
  • CUDA
  • NumPy
  • pandas
  • Scikit-learn
  • Flower (FL)
  • Matplotlib
  • Vertex AI

Tools & Platforms

  • Git
  • Docker
  • Google Cloud Platform
  • Node.js
  • Salesforce (Apex)
  • VS Code
  • PyCharm