Open to opportunities

Weigang Liang

@weigangliang

Software engineer specializing in scalable backend systems and production machine learning for high-impact applications.

United States

Message

What I'm looking for

I seek roles building scalable backend and ML systems where I can own end-to-end production services, mentor teams, and drive measurable impact.

I am a software development engineer with deep experience building scalable backend systems and production ML pipelines for high-impact applications.

At Amazon I owned end-to-end migration of distributed fraud-prevention backend services, engineered distributed storage and streaming solutions, and productionized a PyTorch fraud-detection model within a large-scale system.

Previously I consulted on Mars data analysis pipelines, built TB+ data-processing workflows for rover missions, and delivered validated ML signal-processing algorithms for defense applications.

I combine strong software engineering, backend/data expertise, and applied machine learning to drive cross-functional adoption, improve processing efficiency, and protect millions of users.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer

Current

Amazon

Dec 2024 - Present (1 year 6 months)

Owned end-to-end migration of distributed fraud-prevention backend services, integrating across 10+ organizations and protecting 10M+ customers; engineered services on DynamoDB/S3/Kinesis handling 1M+ weekly requests and improved pipeline query efficiency by 40%.

Java TypeScript DynamoDB S3 Kinesis PyTorch Distributed Systems

Software Consultant

NASA Mars Data Analysis Program

Aug 2018 - Dec 2024 (6 years 4 months)

Developed and maintained data-processing pipelines and automation tools (MATLAB, Perl) used across four Mars rover missions to support automated analysis workflows and mentored a graduate student to completion.

Matlab Perl Data Pipelines Automation Scientific Computing Mentoring Unix

ML Signal Processing Engineer

RTX

Nov 2023 - Nov 2024 (1 year)

Delivered and validated mission-critical ML signal-processing algorithms (C++, Python, MATLAB) and integrated them with backend pipelines (Azure DevOps, Git, Linux) to ensure reliability for defense missions.

C++Python Matlab Signal Processing Azure DevOps Git Linux Validation

Graduate Research Associate

University of Arizona

Aug 2018 - Aug 2023 (5 years)

Designed and optimized statistical modeling pipelines in Python to analyze a 17M-point lunar dataset, improving model precision by 60% and enabling high-throughput geospatial analysis.

Python Statistical Modeling Data Analysis Geospatial analysis Matlab

Research Software Engineer

Cornell University

Sep 2015 - May 2018 (2 years 8 months)

Built TB+ data-processing pipelines and automation tools (MATLAB, Perl) for three Mars rover missions, boosting data-processing efficiency by 90% for rover analysis operations.

Matlab Perl Automation Unix

Education

Degrees, certifications, and relevant coursework

University of Arizona, Lunar and Planetary Lab

Doctor of Philosophy, Planetary Sciences

Completed a Ph.D. in Planetary Sciences with research designing statistical modeling pipelines and analyzing large lunar datasets to improve model precision and enable high-throughput geospatial analysis.

Cornell University

Bachelor of Arts, Physics

2015 - 2018

Grade: Honors

Earned a Bachelor of Arts in Physics (Honors Track) and developed large-scale data-processing pipelines and automation tools supporting Mars rover data analysis.