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

My Story

From data science student to building real-world solutions

I'm a software engineer who enjoys turning ideas into well-designed, reliable products. I care a lot about clean design and solid engineering, and I try to bring both whether I'm working on personal projects or collaborating with cross-functional teams. I like building tools that feel intuitive and genuinely useful, and I enjoy taking projects all the way from an early concept to something real and in production.

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!

I'm open to part-time, remote roles in software engineering or data science for Winter and 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%)

Projects

EcoNaut dashboard showing ocean health metrics and bloom analysis

EcoNaut

Full-stack app for Pacific ocean anomaly detection. Ingests NASA MODIS and NOAA buoys, engineers time series features, and uses XGBoost for algal bloom forecasts. Flask backend, PostgreSQL, React dashboard.

TypeScriptReactPythonFlaskPostgreSQLXGBoostProphetTime-Series Forecasting
Lilabean Donor Platform cover

JPMC Code For Good Hackathon

Full-stack project built for The Lilabean Foundation to visualize donation impact, parse annual funding data into MongoDB, and generate personalized funding update emails using Gemini-powered summaries and charts.

ReactTypeScriptPythonMongoDBGemini API
One Piece Character Classifier

One Piece Character Classifier

A machine learning model that can identify and classify 18 different One Piece characters from images. Built with computer vision and deep learning techniques.

PythonTensorFlowComputer VisionDeep Learning
When It Rains: America's Changing Climate

When It Rains: America's Changing Climate

Interactive climate visualization comparing historical and future U.S. precipitation under low vs. high emissions, highlighting impacts to farms, people, and economic loss.

Data VisualizationD3.jsClimate Data

Coursework

Foundations that support my engineering and data work

Relevant Coursework

Principles of Data Science (DSC10)
Data Structures & Algorithms (DSC20 & DSC30)
Theoretical Foundations of Data Science (DSC40A & DSC40B)
The Practice and Application of Data Science (DSC80)
Database Management (DSC100)
Data Visualization (DSC106)
Data Science in Practice (COGS108)
Statistical Methods (MATH183)
Calculus I-III (MATH20A-C)

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!