Nícolas Agostini
Computer Scientist at Northeastern University Computer Architecture Research Laboratory (NUCAR) - NEU
Georgia, United States
Summary
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Senior🎓
Top SchoolNícolas Agostini is a computer scientist with 11 years of experience blending compiler research, ML-driven optimizations, and hardware-software co-design, currently advancing MLIR-based compiler flows at Pacific Northwest National Laboratory. He led development of SODA-OPT, the first MLIR-based high-level compiler enabling system-level DNN design and automated FPGA/ASIC generation, and co-authored award-winning grants. His work spans LLVM/MLIR extensions, HLS tool integration (Bambu, Vitis, OpenROAD), GPU kernel optimization, and end-to-end accelerator simulation, reflecting deep expertise across the stack from Verilog and SystemC to TensorFlowLite. A PhD in Computer Engineering from Northeastern, he combines academic rigor with hands-on engineering—mentoring students and shipping production-capable research prototypes. Notably, he has a track record of applying machine learning inside compilers to bridge research ideas into practical high-performance computing and accelerator toolchains.
11 years of coding experience
2 years of employment as a software developer
The University of SydneyDoctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at Northeastern UniversityBachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at Universidade Federal do Rio Grande do Sul / UFRGS
Portuguese, English, Spanish
Github Skills (120)
python10
deep-learning10
ml10
neural-network10
data-science10
console10
tensorflow10
machine-learning10
deep-neural-networks10
editor9
modular9
scalable9
vhdl-code9
windows9
visual-studio9
Programming languages (13)
Github contributions (5)
tancheng/mlir-cgra
Jun 2021 - Nov 2022
Contributions:189 commits in 1 year 5 months
agostini01/dotfiles
Jun 2017 - Dec 2024
Contributions:28 pushes, 1 branch in 7 years 8 months
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