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.
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