Rochan Avlur is an Autonomy Engineer based in San Francisco with 8 years of experience building high-performance systems at the intersection of core systems, MLSys, and performance engineering. Currently at Skydio, he applies research-grade techniques from prior roles at MD Anderson and UT Austin to accelerate perception and segmentation pipelines for large-scale imagery. His background blends reinforcement learning, topology-aware segmentation, and CUDA/OpenMPI optimizations that produced up to 350x speedups and a 40x faster RL environment executor using C++11 and pybind11. He has shipped practical tools—from an open-source topic-tagging package with strong adoption to Triton kernels for topology-preserving inference—demonstrating a knack for turning algorithms into production-grade kernels. Known for squeezing performance from both hardware and software, he excels at scaling ML workflows for terabyte- and giga-pixel–scale datasets while preserving statistical and topological fidelity.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Texas at Austin
Bachelor of Technology - BTech Computer Science & Engineering, Bachelor of Technology - BTech Computer Science & Engineering at Mahindra University
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