Summary
Vlad Burca is a software engineer with 14 years of experience specializing in computer vision, graphics, rendering, and machine learning, currently contributing to vision products at Apple in Seattle. He has a strong systems and algorithms background with C++, Python, Java, and Scala, and practical experience across AR/scene understanding (HoloLens) and audio/conversational AI from his time at Microsoft. His career blends research-driven GPU and CUDA work from early academic projects with production-grade engineering at large tech firms, delivering features from surface reconstruction to real-time rendering. Vlad’s education includes a BS in Computer Science & Mathematics and a Master’s in Computer Science, plus a Self-Driving Cars nanodegree, reflecting continual upskilling in perception and autonomy. He has shipped cross-domain systems—from backend web features and search in startups to perception algorithms for device-scale products—demonstrating both breadth and depth. An understated strength is his history of mentorship and operational leadership dating back to supervising consultants and robotics team engineering during his college years.
14 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Self-Driving Cars Nano-Degree, Computer Science, Self-Driving Cars Nano-Degree, Computer Science at Udacity
BS, Computer Science and Mathematics, BS, Computer Science and Mathematics at Trinity College-Hartford
Baccalaureat, Accelerated Computer Science Curriculum (C/C++), Baccalaureat, Accelerated Computer Science Curriculum (C/C++) at National High School of Computer Science “Tudor Vianu”
English, French, Romanian