Bachelor of Science, Cornell University –
I work on distributed software and scalable infrastructure, with a growing focus on ML systems.
Previously, I worked on Android Automotive OS at Google. Now I focus on distributed-memory parallelism and high-performance computing within Cornell's ALPS Lab.
May – Aug 2026
Developed task-level driver-distraction enforcement within Android Automotive OS: a paradigm change from display-scoped restrictions. Built executor-driven public APIs for the platform to allow apps to respond to distinct restrictions within a single display.
Android Platform · Binder IPC · AIDL · Java / Kotlin
Jun – Aug 2025
Migrated a cloud streaming pipeline to an on-premises TAK Server. Built an air-gapped integration and a JSON-to-Cursor-on-Target bridge, enabling connections to 1,000+ devices.
Python · MariaDB · TAK Server
Apr – Jul 2025
Built the nonprofit's website and a volunteer-hours portal for 20+ people. Automated infrastructure provisioning and deployments.
AWS · Next.js / React · AWS CDK / SST
Aug 2026 – present
Optimizing genome self-alignment algorithms with distributed-memory parallelism within the Algorithms for Large-Scale Parallel Systems Lab.
C / C++ · MPI · CUDA
Sep 2025 – present
Led an eight-person team building a LAN-first distributed downloader. Built GitDistributed, a versioning system with primary-backup replication, failover, and multi-client support.
Java · C++ · Spring Boot · gRPC · Distributed Systems
Jan – Dec 2025
Analysis of Algorithms (CS 4820/5820). Held weekly office hours, mentoring students through algorithm design, debugging, and test cases.
Discrete Mathematics (CS 2800). Led weekly discussion sections for 20+ students in a 400-student course and co-hosted a LaTeX workshop.
