Resume

Summary

Recent Applied Physics and Computer Science graduate with hands-on experience building Python-based software and machine learning pipelines for scientific and real-world applications. Strong foundation in data structures, statistical modeling, and software development, with experience in computer vision, data analysis, and research-driven projects. Seeking an entry-level software engineering, data science, or machine learning roles.

Skills

Languages: Python, C, C++, Java, SQL, C
Machine Learning: Scikit-learn, TensorFlow, Pytorch, Keras, Pandas, NumPy, XGBoost, Matplotlib, Seaborn
Developer Tools: Git, GitHub, Jupyter Notebooks, Windows, Linux, Bash Scripting, Prometheus, Grafana, Vue.js

Experience

Thorlabs Vytran Division, Machine Learning Engineer

Morganville, NJ: May 2025 – August 2025

Built an end-to-end machine learning pipeline with TensorFlow to classify fiber cleave images and predict optimal cleave parameters for 5 optical fiber types.
Achieved over 90% accuracy and an F1 score of 0.88 using a custom CNN with an EfficientNet backbone.
Developed an XGBoost regression model to recommend tension adjustments with under 5% error.
Improved data collection and preprocessing pipelines to enhance downstream model reliability.

ISWS REU Program, Research Intern

Newark, NJ: May 2024 – July 2024

Selected as one of 8 students for a competitive NSF-funded astrophysics research program.
Developed a Python-based pipeline to process and analyze time-series data for 8 stellar targets, composing first-authored paper on the subject, submitted to AAS journal

New Jersey Institute of Technology, Research Assistant

Newark, NJ: Aug 2023 – Present

Processed 39 Kepler light curves to identify and characterize 20+ stellar flare events, enabling precise asteroseismic frequency analysis at microhertz-level resolution.
Presented findings at the URI Symposium and Cool Stars 22 Conference.
Selected as finalist in the Dana Knox Competition - top 5% of participants.

Projects

Portfolio Website

Designed and deployed a portfolio website to showcase research, projects, and publications, increasing visibility to recruiters and collaborators
Built using Flask, with responsive front-end design in HTML, CSS, and Bootstrap
Integrated Prometheus and Grafana dashboards to track site metrics, enabling data-driven optimization

github.com/Portfolio_Website

FOCAL - Fiber Optic Cleave Analyzer and Learner

Designed and implemented a Python based machine-learning pipeline to automatically correct fiber optic cleaves using image analysis, complete with a CLI for monitoring model outputs.

focal.readthedocs.io

Presentations and Publications

Understanding the Sun’s Magnetic Cycle with COFFIES

American Astronomical Society Meeting, National Harbor, MD, Jan 2025

Temporal Variations in Asteroseismic Frequencies of KIC 6106415: Insights from GOLF and Kepler Observations

Applied data cleaning and signal processing techniques to analyze Kepler light curves, achieving oscillation frequency measurements within microhertz level precision

arxiv.org/abs/2503.05076

Education

B.S. - Applied Physics and Computer Science
New Jersey Institute of Technology, Aug 2023 – Present
GPA: 3.89 / 4.0 - Summa Cum Laude
- Relevant Coursework: Data Structures and Algorithms, Programming Language Concepts, Intensive Programming in Linux, Computer Systems, Database Design, Classical Mechanics
A.S. - Physics
Essex County College, Sept 2022 – Aug 2023
GPA: 4.0 / 4.0

Honors and Awards

Undergraduate Student of the Year, NJIT Department of Physics, Spring 2025