Blake Caven
I recently completed my MS in Computer Science at the University of Notre Dame, focused on machine learning and real-time simulation.
My work sits at the intersection of real-time 3D systems, virtual production, applied ML, spatial workflows, and production reliability.
My goal is to build higher-leverage tools, platforms, and productized workflows, not to stay in a traditional TD lane. I am especially interested in systems that shift production from “fix it in post” to “prevent it in real time.”
Right now, I am working on various raytracing techniques.
This work stems from my work at Notre Dame Studios and my Game Engine.
In my free time I travel, swing dance, play volleyball, and get creative with the ingredients in my kitchen.
Skills: C++, OpenGL, GLSL, UE5, Pytorch, Libtorch, Blender, Maya, Houdini, Linux, Team management, Prototyping and deploying solutions, Prompt Engineering, Godot, embedded programming, micropython, electrical engineering, multicast, Python, Raspberry Pi, CAD, Embedded C++, Arduino, HTML, JavaScript, Websockets, Flask, Celery, ThreeJS, Vue, Docker, AWS, Potree, DeckLink