hi there!

i'm dylan, a student at uc berkeley studying ds + applied math. currently into fish, videography, scriabin, and ml. here are some fun facts!

  • performed violin for the U.S. Secret Service
  • top 0.1% fastest typists worldwide
  • hit 7.5 mil impressions on my first yt video
  • ex-#1 nationwide aristocrat solver
  • learning some photography on my nikon d610
Aalto University, FinlandFeb 2026 – May 2026

Researcher

  • Built an ML + multi-criteria decision analysis (MCDA) pipeline ranking offshore wind farm siting across Danish waters, fusing 12 fuzzy-normalized GIS criteria spanning wind speed, seabed substrate, shipping lanes, more.
  • Trained RF, HGB, and SVR regressors on 82 offshore sites under 5-fold cross-validation, weighting criteria by AHP pairwise comparisons from 8 domain experts to rank candidate sites
QuarantetDec 2022 – Mar 2026

Concertmaster

  • Invited by and performed for the U.S. Secret Service, U.S. congressmen, Richard Nixon Foundation, Yorba Linda Chamber of Commerce, city mayor.
  • Led 13-musician chamber ensemble in 50+ community concerts for local nursing homes, preschools, libraries, and hospitals.
VocalisNov 2024 – Jan 2026

Founder

  • Built a GenAI-powered augmentative alternative communication (AAC) platform allowing nonverbal and deaf individuals to communicate; 2–5x faster communication rates compared to leading AAC market solutions.
  • Received $5,000+ funding from Samsung; awards won from Solve for Tomorrow Contest and Diamond Challenge; won 30 gaming chairs for my CS class.
BoeingJun 2025 – Aug 2025

Payload Technologies Intern

  • Worked on edge-AI wildfire classification in autonomous detection drones using PyTorch-trained YOLO + CNN models; for Project WDOS, a drone-based wildfire prevention initiative deploying across four continents.
  • Authored a 3-volume, 58-page technical report and poster, earning formal project distinction from the California State Senate (presented by Senator Tony Strickland).
California State University, Long BeachDec 2024 – Jun 2025

Researcher

  • Developed and published a novel two-step CNN-based pipeline for robust estimations of residential PV capacity.
  • Delivered invited lectures on CNN theory and project methodology for Prof. Olga Korosteleva's graduate courses within the Department of Mathematics and Statistics.