Summary
Daniel D'souza is a software engineer with 11 years of experience building and optimizing robotics, autonomous systems, and production software, currently at Overland AI. He combines deep systems and embedded expertise—from porting and vectorizing code for NVIDIA Jetson to profiling custom silicon at SpaceX—with strong backend and cloud experience (Go, Kubernetes, Google Cloud) gained leading special projects at ASU. Daniel has repeatedly bridged research and product: designing ROS nodes, processing LiDAR pipelines, administering ML infrastructure, and shipping tools that automate debugging and telemetry analysis for thousands of devices. A hands-on builder since his teens (he assembled his own PC and has built drones, 3D printers, and robots), he also mentors teams and drives client-facing technical work, making him effective across prototyping, deployment, and on-call production support.
11 years of coding experience
10 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Arizona State University
Bachelor's Degree - Barretts Honor College Computer Science, Bachelor's Degree - Barretts Honor College Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
High School Engineering, High School Engineering at Corona del Sol
English