Vehicle route optimization (Feeding San Diego)
Web app for Feeding San Diego to optimize delivery vehicle routes to 400k+ people each month
Hello y'all. My name is Daniel. Currently studying @UCSD, I have many interests in Software Engineering, ML, and Data Science.
The biggest value I got from my degree is seeing how a lot of problems can be solved (or at least significantly improved) through software and automation. You'll notice a lot of my work is in building systems that reduce manual work, improve efficiency, or make better use of data. If you're a recruiter, I'm especially drawn to teams that value curiosity and finding new ways to increase productivity using technology. I also keep a long backlog of ideas ranging from startup concepts to personal tools aimed at reducing manual work.
Outside of work, I enjoy hiking, movies, video games, and reading.
and finally here's a pic of me :)
Projects across AI/ML Engineering, Software Development, and Data Science.
Web app for Feeding San Diego to optimize delivery vehicle routes to 400k+ people each month
Desktop application for the San Diego Zoo to label, verify, and run classification ML models on terabytes of wildlife audio data.
Won first place in a hackathon by building a platform that spawns 100 parallel AI agents to model market reactions to news headlines and help predict whether stock prices move up or down.
Developed a hybrid recommender system for Twitch streamers using implicit-feedback ALS matrix factorization with popularity-based re-ranking, achieving 4× better precision and recall than a popularity-only baseline.