David Exiga

AI Engineer

General Motors

Jun 2022 – Aug 2025 | Austin, TX

• Improved 2D detection and 3D registration computer vision models by 50% through synthetic data generation
• Enhanced defect inspection accuracy by 30% via 3D object registration testing and failure detection
• Reduced data pipeline latency from 5 minutes to 1 minute by developing scalable ROS2 microservices integrated with AWS cloud infrastructure
• Automated robotic inspection systems by integrating a ROS2 API to control a FANUC CRX-10iA/L collaborative robot for pneumatic actuation
• Engineered a cost-effective line-scan camera system for collecting steel beam data, enabling failure detection algorithms

Hardware Engineering Intern

Maidbot

Sep 2021 – Nov 2021 | Austin, TX

• Developed a regression model to predict poor robotic performance using statistical and ML methods, reducing manual inspection time by 30%

Mechanical Engineering Intern

Texas Instruments

Jun 2021 – Aug 2021 | Dallas, TX

• Designed high-precision opto-mechanical components for a 160W near-infrared laser used in industrial 3D resin printing, leading to 10x cost reduction
• Applied materials science and finite element analysis to optimize heat dissipation, optical alignment, and structural reliability

Applications Engineering Intern

Wilder Systems Robots

Jun 2020 – Jul 2020 | Austin, TX

• Ensured sensor calibration accuracy and robotic safety by designing plastic and sheet metal components

Georgia Institute of Technology

M.S. Computer Science

Expected Dec 2026 | Machine Learning Specialization

Relevant Coursework: Artificial Intelligence for Robotics, Machine Learning, Deep Learning, Reinforcement Learning, GPU HW/SW, Graduate Intro to Operating Systems

The University of Texas at Austin

B.S. Mechanical Engineering

May 2022 | Robotics Concentration