Software engineer building reliable systems — backend, infra, and the quiet layers underneath.
Recent UC Berkeley grad in Computer Science and Data Science, drawn to the quieter layers of the stack — distributed systems, developer tooling, and the infrastructure that has to actually hold.
My favorite hours go to long walks — once, on purpose, over a hundred thousand steps in a single day — and the slow kind of conversation that doesn't need to land anywhere. Lately I've been deep in The Pragmatic Programmer and Designing Data-Intensive Applications: the sort of books you have to put down to think. I learn most from things I can't quite name yet, and the discipline of seeing a system clearly turns out to be the same one that gets you closer to seeing anything else clearly.
Joining IBM as a Software Developer this summer.
Built infrastructure and automation for the Org Support department to lift developer productivity and system reliability — overhauled CI/CD pipelines, designed container health checks for ECS services, and shipped the core logic behind org-wide SLO & SLA tracking and enforcement.
Trained conversational models for emotional intelligence in PyTorch — closed-form continuous-time layers, transformer encoders, residual stacks.
Built an ETL pipeline from Postgres into a graph model for genetic relationships, plus a Dash dashboard for protein-strain exploration.
Maintained a Flutter codebase with Firebase auth, real-time chat, and customizable profile components.