Aditya Rajagopal is a compiler and hardware-focused AI engineer with a decade of experience bridging research and product: he co-founded nCompass to simplify programming for heterogeneous AI hardware after roles at Qualcomm and a postdoc at Edinburgh. His PhD work at Imperial College London produced multiple peer-reviewed papers on on-device CNN training, low-precision training, and FPGA-in-the-loop systems, and he combines PyTorch and Vivado HLS expertise to span GPU and FPGA toolchains. At Qualcomm he built optimising compilers for neural networks on custom accelerators, and his academic work developed intermediate representations to map C to dynamically scheduled FPGA circuits. Comfortable across embedded PCB/SoC design and LLVM-style compiler backends, he brings both hands-on hardware skills and proven research-to-product delivery. An often-overlooked strength is his track record of shipping end-to-end demos and tooling that make cutting-edge ML training feasible on constrained devices.
10 years of coding experience
6 years of employment as a software developer
Master of Engineering (MEng) Electronic and Information Engineering, Master of Engineering (MEng) Electronic and Information Engineering at Imperial College London
High School A Level, High School A Level at Dr. Pillai Global Academy
Contributions:70 pushes, 1 branch in 5 years 8 months
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Aditya Rajagopal - Co-Founder at nCompass Technologies Inc.