A single-node time-series engine for high-frequency hardware telemetry, with memory-mapped columnar storage, WAL crash recovery, and zero dependencies.
332M points/sec writes · 16 ns index lookup · >10x compression
Education
Expected May 2028Ann Arbor, MI
University of Michigan
B.S.E. Computer Science · minors in Mathematics & Electrical Engineering · GPA 3.8
Coursework across data structures & algorithms, advanced operating systems, distributed systems, machine learning, web systems, computer organization, mathematical finance, and probability theory.
Where I've worked
May–Aug 2026Seattle, WA
Amazon Web Services
Software Development Engineer Intern
Compute Orchestration
May–Aug 2025Ann Arbor, MI
Strata AI
Founding Engineer
Data Infrastructure + Applied ML
May–Aug 2024Greenville, SC
SLV Realty
Software Engineering Intern
Algorithm Engineering
Jun–Aug 2023Clemson, SC
Clemson University
Research Assistant
Machine Learning Research
Things I've built
A dense float64 matrix-multiply kernel optimized from a naive triple loop to a packed, SIMD, multithreaded implementation, with every stage benchmarked against a measured roofline.
0.98 → 452 GFLOP/s · ~460x speedup · roofline-validated
A cross-platform peer-to-peer file transfer system with UDP-broadcast discovery, multi-threaded connections, and end-to-end encryption.
150 MB/s throughput · <5 ms discovery · E2E encrypted
What I work with
Languages
C/C++, Python, Rust, Java, C#, Swift, TypeScript, JavaScript, SQL, Dart, MATLAB
Frameworks
Flask, Django, Node.js, React Native, SwiftUI, CoreML, ARKit, Spring, Svelte, Electron, Qt, Crow, Flutter
Tools
Git, Docker, Kubernetes, AWS, Jenkins, Xcode, VS Code, Jupyter, Kafka, Redis, MongoDB, ONNX Runtime, CMake, Valgrind
Libraries
TensorFlow, NumPy, Pandas, scikit-learn, Matplotlib, OpenCV, MediaPipe, Beautiful Soup, PyTest