About Me
Education
PhD in Electrical and Computer Engineering (Sep 2019 - Present)
Thesis Topic: Reconfigurable Architectures for Deep Learning
Advisor: Prof. Vaughn Betz
MASc in Electrical and Computer Engineering (Sep 2016 - Aug 2018)
Thesis Title: Enhancing FPGA Architecture for Efficient Deep Learning Inference
Advisor: Prof. Vaughn Betz
BSc in Electronics Engineering (Sep 2011 - Jul 2016)
Thesis Title: Pedestrian Detection based on the HOG Algorithm on a Xilinx Zynq FPGA
Advisor: Prof. Diana Goehringer
Experience
Machine Learning Systems Engineer (Aug 2022 - Present)
MangoBoost, Inc.
Toronto, Canada
Research Scientist (Nov 2019 - Aug 2022)
Intel Programmable Solutions Group - CTO Office
Toronto, Canada
Research Scientist (Aug 2018 - Jul 2019)
Intel Labs - Memory and Accelerator Architecture Lab
Oregon, USA