Resume

Christopher J. Lombardi

Newark, NJ 07103 | cjl78@njit.edu | 862-354-3910
c-lombardi23 | chrisjameslombardi

Summary

Applied Physics and Computer Science student with research and industry experience in machine learning, computer vision, and data-driven modeling. Proven track record of developing end-to-end ML solutions and presenting research at national conferences. Seeking roles in data science or ML engineering.

Skills

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

Experience

Thorlabs Vytran Division, Research Intern

Morganville, NJ: May 2025 – August 2025

  • Designed an end-to-end machine learning pipeline using TensorFlow to classify fiber cleave images and predict optimal cleave input parameters for 5 fiber types
  • Engineered a custom CNN model head on a pre-trained EfficientNet backbone, leveraging transfer learning to achieve over 90% accuracy and 88% F1 score on an unbalanced dataset.
  • Integrated custom XGBoost regression model to predict the precise tension adjustment needed to correct a suboptimal cleave, providing precise results within a 5% tolerance
ISWS REU Program, Research Intern

Newark, NJ: May 2024 – July 2024

  • Selected as 1 of 8 students for highly competitive, fully funded NSF research experience
  • 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

  • Analyzed light curves from NASA space mission, Kepler, identifying and characterizing hundreds of stellar flare events for precise frequency analysis
  • Presented findings at the URI Symposium for NJIT and the Cool Stars 22 Conference

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

Personal Training Website
  • Developed a full-stack web app using Python, JavaScript, SQLAlchemy, HTML, and CSS
  • Implemented user authentication, database-driven blog entry tracking, improving usability and retention
github.com/newfitphysicist

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: 3.93 / 4.0
    • 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
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