CV

Ph.D., Computer Science

• Graduate Research Assistant, advised by Prof. Mary Hall
• Research: data-layout optimization and GPU code generation in MLIR

M.S., Computer Science

• GPA 4.0/4.0
• Relevant coursework: Advanced Compilers, Parallel Algorithms, Advanced OS, Advanced Computer Architecture, High-Performance Machine Learning, Parallel Programming for Many-Core Processors, Software Verification, Scientific & Data Computing

B.S., Computer Engineering

• GPA 19.16/20 (4.0/4.0), ranked 1st in class
• Dean's List for eight semesters
• Relevant coursework: GPU Programming, Parallel Algorithms, Linear Algebra, Computer Graphics

Deep Learning Library Software Engineer

• Enhanced metaprogramming in the CUTLASS Python DSL infrastructure.

Deep Learning Library Performance Software Engineer

• Contributed to next-generation domain-specific languages (DSLs) for the CUTLASS ecosystem: Python-native interfaces for high-performance CUDA kernel development on core CUTLASS and CuTe abstractions.

Deep Learning Library Performance Software Engineer

• Explored high-performance kernel implementations for current and future hardware using MLIR.

Cloud Engineer

• Built authentication, authorization, and accounting (AAA) for CDN, streaming, and IaaS products serving over 30,000 active services, and an IP-geolocation microservice with 1 ms response time for edge systems.
• Automated service orchestration and CI/CD for all services (Python, Ansible, XenAPI, FFmpeg, Docker) with a unified CLI, and implemented a Vue.js administrative dashboard.

Software Developer

• Built and deployed a cross-platform PWA (Vue.js, Django) to coordinate a summer event for 400 students and 100 members.

Machine Learning Intern

• Implemented OCR and YOLO object detection on NPUs using OpenCV and Keras.

PEAK: High-Performance Transform Dialect

Distinguished Artifact Award

Ranked 1st in Class, B.S. Computer Engineering

First Place, First Technical Footsteps Competition

Member, Exceptional Talents Organization

Program Committee Member

• Track: Programming Environments & System Software

Vice-Chair, ACM Chapter

Chair of the Board, CSE Scientific Association

Board Member, ACM Chapter

Teaching Assistant

• Course: Parallel Programming for Many-Core Processors
• Delivered four lectures on Triton, CUTLASS, and the programming model of recent NVIDIA GPUs; held weekly office hours.

NSF Research Experiences for Undergraduates (REU) Mentor

• Mentored undergraduates in performance measurement, modeling, and understanding the effects of programming-language choice, memory-hierarchy optimization, and architecture on NVIDIA GPU performance.

Teaching Assistant

• Courses: Linear Algebra, Data Structures and Algorithms, Computer Architecture, Advanced Programming, Database Design Principles, Numerical Analysis, Operating System Lab, and Discrete Mathematics.
• Designed assignments, tests, and exams; led weekly labs and office hours.