Justin Foster

Software Engineer Asc.

Lockheed Martin - Combat ID Data

Biography

Software Engineer with 2+ years of experience in developing scalable data-driven machine learning solutions. Passionate about applying statistics, data science, and machine learning to solve big data challenges. Eager to leverage expertise and leadership in data-driven projects and predictive modeling. In my spare time, I am interested in sketching + photographing the world around me, playing new songs on new instruments, and sitting on my couch.

Interests

Software Development
Data Science
Machine Learning
Photography
Music

Education

Bachelors of Science in Computer Science, 2023
University of Texas at Austin
High School Diploma, 2019
The Woodlands College Park High School

Welcome 😄

take a look around

Check out some code

Here’s my github

github

Check out my LinkedIn

Experience

Software Engineer Associate

Lockheed Martin

Jul 2023 – Present Ft. Worth, Texas

Leveraged terabytes of flight test data to design, develop, and implement data-driven and machine learning-based algorithm enhancements for F-35 Sensor Fusion, contributing to the F-35 Combat ID Data Team’s efforts in advancing system performance and capabilities.
Completed and delivered a 27-page whitepaper on time and under budget to the USRL, outlining the findings of a 6-month research project focused on advanced data correlation between F-35 and Intelligence, Surveillance, and Reconnaissance (ISR) data sources.

Software Engineer Intern

Lockheed Martin

May 2022 – Aug 2022 Ft. Worth, Texas

Worked within the F-35 DevSecOps Fusion team to implement a recommender algorithm for emitter data.
Created a python module in order to create synthetic Spectre Data in order to be used to train a machine learning model
Presented work to leadership in order to integrate into currently used software

Coding Instructor

CodaKid

Apr 2021 – Aug 2021 Texas

Taught students aged 5-15 in Python, JavaScript, Java, Lua, and Scratch
Streamlined teaching skills to maximize time in class in order to build Mods for Minecraft, games in Roblox, and fun programs like Tetris
Tracked progress of as many as 9 students a day and gave constructive feedback for skills requiring improvement.

Seeker Mission Researcher and Developer

Texas Spacecraft Laboratory

Feb 2021 – May 2023 Austin, Texas

Tasked to build the machine learning and computer vision algorithms that enabled Seeker to identify Northrop-Grumman Cygnus satellite and estimate relative bearing
Completed performance analysis and optimization of software to further mission success

Projects

Blender Image Generation

Using Blender’s python API, I generated image sets of the Cygnus Satellite in orbit in order for the TSL Seeker team’s machine learning pipeline to do Pose Estimation of its simulated flight.