Sydney Su

Sydney Su

Computer Science Student & Software Engineer

Education

University of California, San Diego

B.S. in Computer Science

Grad: June 2026

GPA: 3.95

Key Coursework:

  • Deep Reinforcement Learning
  • Machine Learning Algorithms
  • Advanced Data Structures
  • Computer Vision & NLP

Skills

Languages

Python SQL C++ Java HTML/CSS JavaScript

Technologies & Frameworks

Git Linux Pandas NumPy TensorFlow Scikit-learn Flask React PostgreSQL Databricks

Professional Experience

Rivian Logo

Software Engineer, GenAI

Rivian & Volkswagen Group Technologies - Palo Alto, CA

Incoming August 2026

Rivian Logo

Software Engineer Intern

Rivian & Volkswagen Group Technologies - Palo Alto, CA

June 2025 - Sept 2025

  • Built an AI assistant with agentic RAG delivering contextual Slack support by retrieving and reasoning over internal code, documentation, and discussions using LangChain and vector embeddings
  • Developed production FastAPI microservice with async Socket Mode integration for real-time Slack events, implementing custom rate limiting and concurrent message processing using AsyncIO patterns
  • Engineered scheduled Databricks Asset Bundle (DAB) pipelines for multi-source data extraction/cleansing with MLflow integration for scalable experimentation and model tracking
  • Deployed full dev-to-prod CI/CD pipeline with automated testing (pytest/mypy), multi-stage deployments, and Infrastructure-as-Code using enterprise Databricks workflows and Poetry dependency management
  • Key Achievement: Achieved 60% automation of developer support tasks, enabling senior developers to focus on high-value productivity work while delivering $78,000 in operational cost savings through reduced manual intervention
View on GitHub Pages
Algoverse AI Logo

Machine Learning Researcher

Algoverse AI - Remote

Jan 2025 - July 2025

  • Developed FaceSafe, a novel privacy-preserving transformation pipeline using diffusion-based inpainting models to systematically replace detected faces with synthetic variants
  • Key Achievement: Co-first author on paper accepted to ICML DIG-BUGS 2025, addressing legal compliance requirements (BIPA, Texas Biometric Identifier Act) while advancing privacy-preserving AI and ethical dataset creation for the international machine learning community
View on OpenReview
Western Digital Logo

Data Engineer Intern

Western Digital - San Jose, CA

May 2024 - Jan 2025

  • Leveraged SQL & Python for data manipulation and real-time fault detection.
  • Key Achievement: Classified process anomalies, resulting in a 99% reduction in failed batch yield.

Projects

Multi-Agent Intersection Simulation

Developed a multi-agent simulation using highway-env to model autonomous driving behaviors. Explored Deep RL algorithms (PPO, SAC, DQN) and engineered a custom reward function to evaluate policy performance in safety-critical environments.

View on GitHub

Self-Hosted Filtered Digital Garden

Designed and deployed a secure Quartz-based digital garden pipeline on a VPS with selective publishing, automated builds, and reverse-proxy delivery using Docker and Nginx Proxy Manager.

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