Hello, I'm Ember

software engineer • applied AI researcher

Ember Lu

About Me

Hi! I'm Ember, a Computer Science student at UCSC, and here's what I'm up to!


• Interning in the Industry: Developing multi-agent RAG pipelines for the Cloud team at Hewlett Packard Enterprise (HPE), engineered foundational full-stack AI features for clinical health trials at PicnicHealth (YC), and optimized open-source geospatial machine learning models at Overture Maps Foundation


• Research: Contributing to autonomous vehicles research, with previous experience in neural networks, biomedical AI, & ML in computational ecology


• On Campus: Creating opportunities for the Santa Cruz tech community as a Lead for Girls Who Code, Google Developer Group, Santa Cruz AI, and Hack.dev, where we hosted the NVIDIA x ASUS Hackathon with NEMOCLAW


I'm currently seeking technical internship opportunities for Summer 2027!

Experience & Education

Software Engineering Intern • Hewlett Packard Enterprise (HPE)

June 2026 – Present
  • Engineering an autonomous multi-agent pipeline with LangGraph, GitHub Copilot, and a Model Context Protocol (MCP) integration, backed by a VectorDB-powered RAG knowledge base, to automate codebase context retrieval and generate bug-fix patches.

Software Engineering Intern • Overture Maps Foundation

Sept. 2025 – Dec. 2025
  • Adapted 3+ lightweight language and embedding models (Meta Llama, Microsoft Phi-3, Google Electra) into sequence-classification architectures, matching 3,000+ geospatial data points with 90%+ accuracy.
  • Built PyTorch optimization pipelines with LoRA fine-tuning to improve model efficiency, while documenting OKR progress to maintain cross-team visibility into performance gains.

Software Engineering Intern • PicnicHealth

July 2025 – Sept. 2025
  • Shipped 2 foundational full-stack AI features (React, Node.js) that cut clinical trial record processing time by 95%.
  • Integrated 3+ API endpoints with REST controllers, real-time React/Apollo GraphQL components, Temporal workflow triggers, and PostgreSQL/Hasura data operations.

Machine Learning Researcher • AIEA Lab

May 2026 – Present
  • Researching autonomous vehicles through AI-driven modeling and systems work.

Machine Learning Researcher • UCSC Biomedical AI Lab

Jan. 2025 – Jan. 2026
  • Processed 150+ Hepatitis B capsid PDB files with MDTraj and MDAnalysis and scripted automated protein dimer identification via center-of-mass proximity.
  • Simulated protein structures with OpenMM and ChimeraX to generate PDB data for ML model training in a Linux server environment under Professor Razvan Marinescu.

Machine Learning Researcher • UCSC Computational Ecology Lab

Oct. 2024 – July 2025
  • Improved machine learning models in PyTorch and R to predict species movement, analyzed algorithmic fairness, and led software work to improve model efficiency under Professor Luca de Alfaro.

President | Girls Who Code

Jan. 2025 – Present
  • Creating tech opportunities for underrepresented minorities on campus.
  • Leading speaker events, conference sponsorships, coffee chats, and mentorship opportunities.

Vice President | Google Developer Group

Jun. 2025 – Present
  • Hosting quarter-long hackathons, workshops, and Google club collaborations.
  • Organized G-Hacks Hackathon and ongoing community events.

President | Santa Cruz Artificial Intelligence

Aug. 2025 – Present
  • Creating AI research project collaborations and startup research opportunities.

Co-Lead | Hack.dev (NVIDIA x ASUS Hackathon)

April 2026 – Present
  • Hosted the NVIDIA x ASUS Hackathon with NEMOCLAW, leading community hackathon operations and partnerships.

Computer Science B.S.
University of California, Santa Cruz

2024 – December 2027

Skills

Python
TypeScript
Java
JavaScript
React
C/C++
HTML
CSS
R
Node.js
PostgreSQL
Git
Docker
Flask
PyTorch

Projects

Project screenshot

Global Leadership Board for LM Geodata Performance

July 2026 – Present
  • Building one of the first global leaderboards benchmarking small, scalable language models against standardized validation datasets for geospatial conflation, expanding into additional real-world domains.

Syllabi Wrapped project screenshot

Syllabi Wrapped | Node.js, SQLite, 1st Place @ HackDay

Feb. 2026
  • Built a full-stack web app that uses GPT to parse uploaded course syllabi into structured data, backed by a Node.js server and SQLite database, with a user interface twist.

  • Designed a Spotify Wrapped-inspired swipe slideshow to present grade weighting, deadlines, and course policies; won 1st Place at CruzHacks Hack Day.

Project screenshot

CalmSense | PyTorch, 3rd Place @ Santa Cruz AI Hackathon

Jun. 2025
  • Built a PyTorch neural network that analyzes real-time health data to predict oncoming anxiety attacks with 90% accuracy, with a web interface for guided breathing patterns to help alleviate symptoms.

Project screenshot

Research Publications & ML Projects

  • Led a research team to build a RandomForestClassifier using data from 19 public health factors to determine COVID-19 risk levels by U.S. county.

  • Directed a team of 4+ in statistical analysis of the encrypted Voynich Manuscript to decode its unknown language and co-wrote a pending research paper discussing its results.

  • Python, Matplotlib, scikit-learn • 2020, 2022–2023