Columbia University
M.S. Mechanical Engineering
Graduate interests: robotics, computational engineering, data-driven systems.
Resume / CV
A clean web version of the resume.
Structured from the latest resume file found in the source folder, with private details minimized on the page.
Download Resume PDFEducation
Clark University
B.S. Computer Science and Physics, Cum Laude
Overall GPA: 3.60.
Relevant coursework includes data structures, algorithms, database management, automata theory, calculus I-III, linear algebra, fluid mechanics, thermodynamics, electronics, machine learning, statistical mechanics, ODE/PDE, classical mechanics, waves and oscillations, and IoT.
Experience
Data Engineer Intern
EVERTEC, Inc.
- Automated a manual billing workflow, improving efficiency and reducing onboarding effort for new clients.
- Built reporting solutions for real-time and near-real-time transaction data using SQL, Excel, and Power BI.
- Developed billing algorithms by country and use case to support scalable, data-driven decision-making.
Systems Administration Assistant
Clark University Department of Computer Science
- Supported Linux-based HPC cluster operations for academic and research computing workloads.
- Assisted students and faculty with job execution, troubleshooting, and systems support.
- Worked with Microway infrastructure, Slurm scheduling systems, Linux, and database administration tools.
Project Engineering Intern
Hilton Engineering
- Assisted with commercial boiler installations, troubleshooting, and safety checks.
- Supported engineering field operations and maintenance site visits.
- Helped resolve installation issues to maintain project timelines.
Selected Projects
Automated Water Distribution System
A capstone and directed-study project using Arduino hardware, flow measurement, ultrasonic sensing, pump control, WiFi/TCP communication, Python, and OCaml to move requested volumes of water between containers.
Statistical Physics
A statistical physics paper on Maxwell-Boltzmann, Bose-Einstein, and Fermi-Dirac distributions, including real-world applications such as Bose-Einstein condensates.
NEWMAC Score Predictor
A team project using historical NEWMAC soccer data to predict match outcomes for Clark Men's Soccer, comparing baseline, logistic regression, decision tree, and random forest models.
Video Game Market ML Analysis
A 2025 machine-learning paper merging two Kaggle datasets of video game ratings and sales to compare logistic regression, random forest, neural networks, and gradient boosting.
Off-Campus Clark Housing Platform
A student housing platform prototype with apartment listings, registration, messaging, Docker setup, PostgreSQL, and Django templates.