Resume

Bachelor of Science Engineering in Computer Science | GPA: 3.85/4.00 | Ann Arbor, MI

Relevant Coursework: Distributed Systems, Data Structures and Algorithms, Compiler Construction, Web Systems, Computer Organization, Computer Security, Programming Paradigms

University of Michigan | Ann Arbor, MI

• Maintain distributed automatic grading system using Python, Docker, Redis, MySQL, and React
• Optimized statistics generation, reducing non-cached runtime by up to 97%
• Teach high performance C++ with profile-guided optimization, as well as various DSA topics such as Hash Tables, Branch and Bound, and Dynamic Programming
• Wrote optimization program to assign course staff duties according to availabilities and preferences
• Create and review pull requests for multi-course tutorials

University of Michigan | Ann Arbor, MI

• Resolved tickets from Faculty, Staff, and Students in 15+ buildings
• Created and debugged existing scripts for Linux servers and workstations
• Prepared resolution guide for the global Crowdstrike crisis, reducing service time to under 60s/computer

Self-Directed | Python, PuLP, Flask

• Produces provably optimal results via Integer Linear Programming
• Rate limits API accesses across multiple server workers via file locks
• Tested with mocked-browser and concurrent access unit tests

Coursework | Go

• Utilized sharding to achieve fault tolerance and high performance
• Built on previous project, a Replicated State Machine backed by Paxos
• Queued concurrent accesses in idiomatic fashion using lexical confinement with Go channels
• Simulated networking between machines by issuing RPCs across Unix Domain Sockets

Self-Directed | C++, xxHash

• Experimented with XXH3 library for checking file integrity and duplicate detection
• Operated with STL algorithms and filesystem methods to efficiently manage file organization
• Utilized modern C++ features such as string view and nodiscard attribute

University of Michigan Autonomous Robotic Vehicle Team

• Rewrote significant portion of navigation codebase to remove dead code and improve maintainability
• Lead workflow changes to address longstanding team deficiencies
• Updated and thoroughly tested onboarding for maximal user support, resulting in 0 persisting environment issues

Languages: C++, C, JavaScript, Python, Go, Java, MySQL

Frameworks and Libraries: Node.js, Flask, PuLP

Developer Tools: Git, Bash, Docker, Redis, Regex, Valgrind, Callgrind, Massif

Misc: Unit Testing, Linux System Administration