Senior Software Engineer in the Quantum Security Group

For my first year and a half I worked on the Map side of things at Mapbox. I was mainly focused on improving our data pipeline behind the Mapbox Tiling Service, which converts customer data into beautiful maps that can be displayed in a browser or mobile device. I also worked on the cloud infrastructure (AWS ECS, AWS Lambda, AWS Cloudformation, AWS Step Functions, AWS Cloudwatch monitoring + alarms) behind our APIs serving maps at scale.

I switched over to the Navigation side of things in early 2022 and now think more about the architecture, scalability, and algorithms for turn-by-turn navigation, optimal routing, and map matching problems within the Logistics space.

As a software engineer at Stottler Henke Associates, I've developed software for both the U.S. Navy and NASA. Below are a few of the projects I've worked on:

1. Developed replacement for U.S. Navy operational mission-planning software (Java, Spring Boot, JavaFX) that reduces average deployment time by 80% through CI/CD pipeline.

2. Built an Integrated System Health Management prototype for NASA ARC to monitor space habitat subsystems for their future deep space exploration missions.

• Researched and engineered semi-supervised machine learning algorithms based on Random Forests and Self-Organizing Map Neural Networks to detect and localize space habitat subsystems faults.

• Involved in all stages of Machine Learning pipeline: data processing, feature selection, model tuning, and model validation on 2 NASA subsystems implicated in real faults, achieving over 85% accuracy.

• Co-authored paper published in Advances in Intelligent Systems & Computing journal, invited to present at WSOM 2019 conference in Spain.

3. Developed an Expert System to intelligently diagnose and respond to spacecraft failures through distributed architecture.

• Implemented intelligent data processing, fault diagnosis, planning/scheduling, and adaptive execution modules to automatically identify, locate, and resolve failures.

• Validated system on real telemetry data from CubeSat stationed in Montana; system anticipated to run on CubeSat lunar landing mission in 2021.

As a Backend Software Engineer (JavaScript, Node.js) on Autodesk's Sales and Marketing Engineering team, I contributed to the company's first Serverless API leveraging AWS Lambda functions to efficiently bundle contract information for Channel Partners via their Partner Portal.