Profile

Building faster and more reliable EDA workflows

I am an EDA software engineer focused on optimization algorithms, transistor-level automation, and performance-critical physical design systems.

View CV Download CV

A full PDF resume with detailed experience, education, research, and awards is available here.

Current focus

My recent work combines production software engineering with research-driven optimization.

Developing and improving netlist optimization, topology refinement, and validation logic for advanced-node standard-cell layout automation.

Building Python and C++ hybrid EDA engines for performance-sensitive transistor-level physical design workflows.

Accelerating placement exploration with CUDA-based candidate evaluation and consistency validation between CPU and GPU flows.

Highlights

A few measurable outcomes from recent engineering and research work.

Achieved up to 800× runtime improvement through warp-level CUDA parallelization.

Delivered 33% runtime reduction and 15% EDP improvement in AI-based logic synthesis parameter optimization research.

Published semiconductor conference research and received a Best Paper Award at KCS 2025.

I am a software engineer focused on performance optimization and system design in VLSI/EDA and Scientific Computing. I primarily work with C++ and Python, with experience in implementing complex algorithms and designing large-scale system architectures. Recently, I have also been interested in AI/ML and LLM-based agent development.

Languages

Python 3.11+C++TypeScript

Domain Expertise

VLSI/EDA (Netlist Optimizing, Cell-level Placement)CFD (OpenFOAM)AI (RL, LLM)

Building faster and more reliable EDA workflows

EDA Engineer

Undergraduate Student Researcher

Cofounder, H/W Engineer

B.S. in Electrical and Information Engineering

Circuit-Similarity-Based Parameter Optimization for Logic Synthesis Tools

Best Paper Award

Encouragement Award

1st place

2 Years Full-funded Scholarship

Promising Student Startup Team 300 Certification