M Al Hafiz
Doctoral Researcher at Kungliga Tekniska högskolan
Stockholm, Sweden
Summary
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Senior🎓
Top SchoolM Al Hafiz is a doctoral researcher at KTH with nine years of embedded systems experience, specializing in FPGA-based hardware accelerators for neuromorphic computing across the IoT–Edge–Cloud continuum. He blends hands-on RTL/VHDL and HLS development with microcontroller and analog electronics expertise, having implemented custom RISC cores, matrix-multiplication accelerators, and visual-inertial localization on SoC FPGAs. His industry work at Atlas Copco spans embedded software, automated test hardware, and motor condition estimation, evidencing a practical focus on reliability and manufacturability. He has contributed to real-world sensing and communications projects—including tsunami early warning and visible light communication—demonstrating a knack for low-power, resilient system design. Known for bridging algorithmic research (spiking neural networks, SNNs) with reconfigurable hardware, he aims to make AI at the edge both low-latency and energy-efficient.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Embedded Systems, Master's degree, Embedded Systems at KTH Royal Institute of TechnologySarjana Teknik (S.T.), Engineering Physics, 3.57, Sarjana Teknik (S.T.), Engineering Physics, 3.57 at Universitas Gadjah Mada
English, Indonesian, Swedish
Stackoverflow
1reputation
0reached
0answers
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Github Skills (17)
xilinx7
fpga6
pytorch4
deep-learning4
quantization-aware-training3
speech-recognition3
quantization3
image-classification3
machine-learning3
hardware-acceleration3
cpu1
coordinates1
vhdl1
finder1
prediction1
Programming languages (10)
Github contributions (5)
PTE-BPPT/libraries-eagle-PTE-BPPT
Feb 2019 - May 2020
Contributions:11 commits, 9 pushes in 1 year 3 months
ihsanalhafiz/Caresoil
Feb 2017 - Mar 2022
IoT system for monitoring and control soil condition
Contributions:5 pushes, 1 branch in 5 years 1 month
conditionsensumonitoringiotsoil
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