Hey I'm Sid! I'm currently studying Electrical Engineering & Computer Science and Pure Math at the University of California, Berkeley. I'm primarily interested in the intersection of computer science, mathematics, and creative artistry, manifesting in unique methods of self-expression in the fine arts and music.

[>] current projects: music blog, generative modal improv (max/msp), options sentiment tracker

→ CNMAT @ UC Berkeley | Researcher, 2025

Studying morphisms between semantic clustering and [music] feature clustering, in pursuit of parameter embedding and network bending for stable audiovisual generation. Permits fine tuning of gen AI in a multimodal medium.

→ Tona AI | SWE intern, 2024

Full-stack developer for a startup integrating AI into the music production process. Cool work involving designing frontend UI/UX (React, Next.JS), developing backend ML models (PyTorch, LarsNet, Docker), and managing databases (AWS, Supabase).

→ MAT Program @ UCSB | Research Intern, 2021+2022

Explored potential heuristics from the cognitive sciences to guide the algorithmic mapping of jazz music attributes to visual attributes in virtual environments (1), trained a standard Deep Reinforcement Learning model with and without a user present, and compared the performance of the training to analyze the impact of human presence on ML training (2)

programming experience: Java/C#, Python, C++, Web Development (HTML/CSS/JS/Django), Unity VR/AR (C#, MRTK, HoloLens)

research interests: media arts & technology, human-computer interaction, synaesthetic media, music composition, computational musicology, computer vision, generative art/music, stochastic models for gen AI