Hello, I'm

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Software Engineer

I'm a third year data science student at UC San Diego. I'm interested in building data-driven tools that make a difference in people's lives.

Jeremy Cheng

About Me

I'm a software engineer with a passion for blending clean design with robust technical execution. Whether I'm building personal projects or collaborating with cross-functional teams, I strive to create tools that are intuitive, impactful, and user-first. With experience in front-end frameworks, back-end systems, and machine learning pipelines, I enjoy taking projects from idea to production.

Outside of work, you'll probably find me in the ocean surfing, exploring something new in the data world, or hanging out with my dog, Leia. I'm always open to collaborating on innovative ideas or just chatting about cool tech, the environment, or the best surf breaks near San Diego.

Education

UC San Diego

Data Science, B.S.

Expected 2027

Location

San Diego, CA & Boston, MA

Open to remote work

Interests

Data Science, Software Engineering

Machine Learning, Data Analytics

Skills & Technologies

Frontend Development

React
Next.js
JavaScript
TypeScript
HTML
Tailwind CSS

Backend & Data

Python
Node.js
Express.js
PostgreSQL
SQL
REST APIs

Data Science & ML

Pandas
NumPy
Scikit-learn
TensorFlow
Matplotlib
Seaborn

Experience

Software Engineering Intern

Summer 2025 - Present

Specter Aerospace

Coordinate with test operators to develop new features for existing facility control GUIs. Aid in the design and usability of data dashboards and facility HMIs. Work with propulsion and test engineers in choosing charts and figures to generate and display. Manage database systems for the PLC to data server pipelines.

Student Researcher

Summer 2025 - Present

UC San Diego

Analyzing large-scale telemetry data to evaluate energy consumption trends under Intel's Data Center Architecture (DCA) regulations. Built data pipelines to process CPU power states, workload traces, and system-level metrics using Python and time-series analysis tools. Insights support energy-aware workload scheduling and optimization strategies for regulatory compliance across heterogeneous infrastructure.

Data Science Intern

Summer 2024

Fizz Social

Developed a news indexing system using keyword extraction and sentence embeddings to retrieve and rank relevant articles from NewsAPI and Google News. Refined search queries by implementing query expansion and similarity search mechanisms, improving the precision and relevance of News retrieval based on user input. Analyzed and visualized data, providing insights into user engagement and content relevancy through metrics including NDCG (84%), MAP (73%), and MRR (83%).

Projects

EcoNaut logo

EcoNaut

A data-driven platform for ocean conservation and marine research. Built with React, Node.js, and Python.

ReactNode.jsPython

Get In Touch

Let's Connect

I'm always interested in new opportunities and collaborations. Whether you have a question or just want to say hi, feel free to reach out!