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

From data science student to building real-world solutions

I am a third year data science student at UC San Diego interested in machine learning and integrating its application into real-world settings. I care a lot about clean design, architecture, and usability, and I try to bring these principles to all of my work.

Outside of work, you'll usually find me in the ocean surfing, diving into something new in the data world, or spending time with my dog, Leia. I'm always happy to collaborate on interesting ideas or just chatting about anything! Outside of work, I am often swimming or surfing. At home, I have a 5-year old Golden Retriever named Leia, that I love to spend time with.

I'm open to part-time, remote roles in software engineering or data science for Spring 2026. Feel free to reach out!

Education

University of California, San Diego

Data Science, B.S.

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

My Journey

Building impactful solutions through data and engineering

Incoming Software Engineer Intern

J.P. Morgan Chase & Co.

  • Incoming Summer 2026

Student Researcher

University of California, San Diego

  • Analyzed 9TB of Intel DCA telemetry to profile CPU power-state residency and burst behavior, then delivered plots and a short brief that set the team's next analysis priorities
  • Standardized analysis notebooks with DuckDB over partitioned parquet and added validation checks
  • Audited data quality and schema changes, tested attribution to specific apps, and proposed the data joins needed to complete the analysis

Data Science Summer Intern

Filyn Inc

  • Ingested FDA CTD PDFs into a normalized Postgres model with section-level metadata, which turned free-form documents into queryable records for analysis
  • Designed a CTD-aware schema with text indexes, enabling fast filterable search by module, section, title, and keywords
  • Shipped semantic search using embeddings in pgvector, improving retrieval quality for section lookups

Software Engineering Intern

Specter Aerospace

  • Shipped React control panels used in hypersonic test operations, shortening operator paths, and adding real time telemetry via Node.js
  • Built the facility HMI and live dashboards that visualize hundreds of ADS variables at high frequency, improving readability
  • Stabilized the PLC and UI data path with sequence checks and buffered streams, removing UI desyncs and keeping hardware signals aligned with on-screen controls

Data Science Intern

Fizz Social

  • Built a news indexing and ranking pipeline over NewsAPI and Google News that turned user prompts into traceable, ranked results
  • Implemented query expansion and similarity search mechanisms, improving the precision and relevance 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%)

Get In Touch

I'm always interested in new opportunities and collaborations. Send a message on the contact page, or reach out through the links below.