Machine Learning Software Engineer

Sammamish, WA, US • *********@*****.*** • 425-***-****

LEE PING-CHUAN

Machine learning and systems Software Engineer

PROFESSIONAL SUMMARY

Emerging machine learning and systems Software Engineer with over 24 years of extensive experience in software and hardware architecture. Demonstrates expertise in platform virtualization, machine learning, and artificial intelligence, utilizing advanced skills in C++, Python, and FastApi to develop innovative engineering solutions. Proven track record in optimizing testing methodologies and enhancing cross-functional collaboration, with a focus on continuous learning and adaptation to emerging technologies.

EMPLOYMENT HISTORY

SW ENGINEER Nov 2024- July 2025

Microsoft (contractor) Redmond, WA

• Work in silicon virtual platform development team on features development and issues resolving at all levels, including QEMU/KVM, nested virtualization, SRIOV, PCI, Synopsys Virtual-IO PCI systemC simulation.

SW ENGINEER Apr 2022 - Apr 2024

Amazon (contractor) Redmond, WA

• Work in Kuiper project antenna team to bring up, debug, and test the prototype boards then the production boards using python programming for the tools and new tests.

• Pioneer the methodology to develop precision tools for antenna system calibration, ensuring meticulous attention to detail in all testing procedures.

• Initiate streamlined statistical data analysis processes for electrical bring-up, improving accuracy and reducing troubleshooting time for the Kuiper project extreme temperature cycles testing on every board.

VARIOUS ENGINEERING CONTRACTING POSITIONS APR 2022 – MAR 2017

Microsoft (contractor), Intel (contractor) Redmond, WA, Hillsboro, OR

• Surface Device UEFI post release validation role for UEFI system behaviors compliance.

• CHROMEBOOK performance and power measurement role for benchmark and power usage break down on the GENTOO GOOGLE distribution and CHROME browser. Troubleshooting issues with a complex HW/SW instrumentation built to be collected by Intel EMON, VTUNE tools and Linux performance tracing.

• Azure In-Tune on client desktop management performance role by establishing power and performance evaluation procedures .

• Deep learning visual computing software/Drier validation role to to enhance neural network model functionality/accuracy on multiple platforms using C++/C/Python, focusing low power VPU architecture device using ONNX runtime framework.

• Windows OS power and performance testing in surface power lab role to automate tests and troubleshooting.

WINDOWS OPERATING SYSTEM SOFTWARE ENGINEER Oct 2003 - Jun 2016

Intel (FTE) Redmond, WA

• Onsite debug engineer for over 7 years to support Intel product windows OS ship through debug requests and platform SOC driver package drop to MSFT.

• Debug crash dump and ETW trace to make progress on reported bugs.

• Served as the on-site technical liaison between Intel and Microsoft on prototype provisioning and deployment.

• Ported and maintained the reliable and consistent Hyper-V performance counter-virtualization work for hardware and server performance evaluations.

• Developed an instrumentation method to collect stress failure data for a software CPU binary translator and execution for 5 years, and deploy the deep know-how method for lab issue root cause. Streamlined debug processes, enhancing collaboration between Intel and Microsoft, leading to more efficient bug resolution and system stability.

HARDWARE POST SILICON VALIDATION AND DEBUG ENGINEER Oct 2001 - Oct 2003

Intel (FTE) Dupont, WA

• Validate and debug hardware, applying an understanding of platform MCH and IOH programming architecture and electrical engineering principles.

• Use a logic analyzer and oscilloscope to collect signal integrity and logic error data, collaborating with the chip design architect to investigate failures.

• Use event capturing performance tool to discover product ship blocking bugs. Analyzed hardware performance metrics to enhance system efficiency, utilizing advanced diagnostic tools to resolve technical challenges.

OPERATING SYSTEM SOFTWARE ENGINEER Sep 1997 - Oct 2001

Intel (FTE) Dupont, WA

• Enabling work for the Itanium IHV driver porting and 64bit OS booting on a platform simulator.

• Led research and resolution of architecture differences, ensuring robust platform simulation and effective issue resolution for OS booting then on prototype platform OS testing.

• Worked closely with teams and IHV partners to ensure successful driver porting and OS run, fostering an environment of shared success.

SOFTWARE DEVELOPMENT & EVALUATION ENGINEER Sep 1997

Intel (FTE) Hillsboro, OR

• Own the test plan and the test case implementations for Distributed memory parallel supercomputer OS message passing API and partition management API validation, using innovative approach to characterize API accuracy.

EDUCATION

MACHINE LEARNING CERTIFICATE Oct 2024

University of Washington-Seattle Seattle, Washington

MASTER OF SCIENCE, COMPUTER SCIENCE

Portland State University Portland, OR

MASTER OF SCIENCE, ELECTRICAL ENGINEERING

University of Portland Portland, OR

SKILLS

PyTorch, Scikit-learn, FastApi, Kubernetes, Docker, MLFlow, Machine Learning, Artificial Intelligence, Cloud Solutions, LLM fine tuning, terraform, systemC, X86 Architecture, SOC, Platform Virtualization,

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