Drazen Borkovic
Software Engineer at Meta
California, United States
Summary
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RockstarDrazen Borkovic is a software engineer based in California with over 20 years of deep experience in physical design, FPGA architecture, and EDA tooling, currently contributing at Meta after a four-year tenure at AWS working on ML compiler support for Inferentia. He has a strong track record as a principal engineer solving routing, synthesis, and placement challenges—ship-ready skills honed at Tabula, eASIC, Xilinx, Microsemi and Synopsys. Drazen’s work repeatedly focused on compact, cache-friendly data structures and novel routing strategies that delivered large memory and runtime improvements (e.g., 8–10x reductions in netlist/fabric footprints). He combines algorithmic rigor with practical productization—leading small teams, shipping new routers and automated ECO tools, and improving QoR across multiple IC and FPGA toolchains. Colleagues know him for debugging persistent constraint violations and creating hierarchical conflict-resolution strategies that turned brittle flows into robust, production systems.
4 years of coding experience
26 years of employment as a software developer
English
Github Skills (14)
neural-network10
acceleration10
machine-learning10
tensor10
deep-learning10
tensorflow10
gpu-acceleration10
gpu10
python10
numpy10
autograd10
hardware8
compiler5
shell1
Programming languages (3)
Github contributions (5)
dborkovic/pytorch
Dec 2021 - Jul 2022
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:20 pushes, 5 branches in 6 months
pythongpu-accelerationdeep-learninggpuacceleration
dborkovic/glow
May 2022 - Aug 2022
Compiler for Neural Network hardware accelerators
Contributions:18 pushes, 7 branches in 3 months
hardware-acceleratorscompilerneural-networkacceleratorshardware
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