Proof-of-work portfolio
Computer Science & Cognitive Science student at the University of Michigan.
I build high-performance systems — from HPC clusters and scientific computing platforms to data pipelines and ML research tooling — with an eye for how software supports real human and scientific workflows.
Infrastructure Systems
HPC clusters, bare-metal provisioning, distributed systems, networking
Data & Analytics Systems
Pipelines, measurement, operational analysis, data-informed decisions
Research / ML Tools
Scientific computing, ML workflows, cognitive science tools
systems
From-scratch bare-metal cluster: provisioning, InfiniBand networking, and verification
Rocky Linux · iPXE · SLURM · InfiniBand / RDMA
systems
High-throughput in-memory caching for microservices
Go · gRPC · Consistent Hashing · Docker
research
Bridging HCI research and real-time software instrumentation
TypeScript · React · Python · Flask
work
Internship project at Lyft — maps & routing
Python · Spark · Airflow · Feature Stores
Supercomputing Engineer
Los Alamos National Laboratory
Building HPC clusters from scratch with Rocky Linux, iPXE, and SLURM — InfiniBand/Ethernet networking and benchmarking 400Gb/s+ data transfers.
Scientific Computing Engineer
Memorial Sloan Kettering Cancer Center
Shipped an Open OnDemand dashboard for MSK's HPC cluster, cutting new-user support tickets by 20%. Built real-time SLURM monitoring and automated usage reporting.
Data Analytics Intern
Lyft
Built SQL pipelines analyzing 44k+ users; proposed scoring changes that reduced operational costs by 7% and negative user costs by 12%.
Python · C/C++ · Linux · AWS · Docker · SLURM · React · PyTorch
B.S. Computer Science & B.S. Cognitive Science · University of Michigan, Ann Arbor