Lewis Lui
Machine Learning Engineer | Software Developer
I am a Master's student in Computer Science at the University of California, Irvine, with a Bachelor of Science in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley. My interests lie in software engineering, artificial intelligence, and machine learning, with a strong foundation in data structures and algorithms. I have hands-on experience developing software through internships and projects, where I worked with technologies such as Python, Java, JavaScript, and machine learning frameworks like PyTorch. I have contributed to real-world applications at companies including Haddee, Surge AI, and Tsavorite Scalable Intelligence, gaining experience in building, testing, and improving scalable software systems.
Technical Skills
Languages
ML & Backend
Systems & Cloud
Work Experience
Machine Learning / Software Engineer
Jun 2025 – Aug 2025Tsavorite Scalable Intelligence | Milpitas, CA
- Designed Python-based REST APIs on AWS to deploy Hugging Face models, contributing to $100M+ deals.
- Optimized C/C++ Linux libraries, achieving 18x faster token generation than benchmarks.
- Optimized FPGA-based inference pipelines, delivering 7x speedups over standard hardware.
Software Developer (Contract)
Jan 2025 – Jun 2025Surge AI (DataAnnotation Tech) | Remote
- Evaluated Python/C/Java LLM outputs, improving correctness by 17%.
- Validated JavaScript training datasets, reducing hallucinations by 23%.
- Performed QA across 10+ AI/ML models validating execution and reasoning.
Software Engineering Intern
Oct 2024 – Jan 2025Haddee.com | Berkeley, CA
- Built a personalized AI chatbot using PyTorch/Pandas, increasing retention by 9%.
- Designed AI inference algorithms to improve client-college matches by 14%.
- Analyzed 2,200+ college programs with MySQL to train transformer models.
Featured Projects (Click titles for source code)
Deep Q-Network Pong Agent
Engineered a DQN agent with CNNs and Replay buffers to learn optimal policies from raw pixels. Achieved a 95% win rate against humans.
Procedural World Generation
Built an OOD generation system rendering 5,000+ environments. Optimized backend pipelines to reduce runtime by 32% and latency by 47%.
Large-Scale Ngram Analytics
Processed 500B+ words from Google Ngram. Developed custom HashMaps and Red-Black Trees for O(log n) query times.
HTML/CSS Frontend Project
Coded a website in HTML/CSS to showcase projects and concepts. At peak had around 100+ viewers per day.
Education
University of California, Irvine
Master of Computer Science | GPA: 4.0/4.0
Expected Dec 2026 | Focus: AI, ML, NLP, Computer Vision
University of California, Berkeley
B.S. Electrical Engineering & Computer Science (EECS Honors) | GPA: 3.9/4.0
May 2025 | Dean's List, College of Engineering