EbenezerĀ Gadri-akrong
Full Stack Engineer at JLS Trading Co.
Montreal, Quebec, Canada
Summary
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Top SchoolEbenezer Gadri-akrong is a Full Stack Engineer with seven years of hands-on experience building scalable software and ML tooling across startups and research-focused teams. Based in Montreal and soon pursuing an MS in Electrical Engineering at McGill, he blends practical backend and frontend development with machine learning contributionsāmost notably adding Paddle frontend support and tensor operations to the ivy project that helps convert ML code between frameworks. He has delivered production features at companies across North America and Europe while moving quickly between roles from research intern to top contributor, demonstrating rapid tool mastery on the job. Known as an organized, proactive collaborator, he pairs strong time-management and problem-solving instincts with a knack for translating research ideas into practical engineering outcomes.
6 years of coding experience
2 years of employment as a software developer
West African Senior School Certificate (WASSCE) General Science, West African Senior School Certificate (WASSCE) General Science at St. Augustines College, Cape Coast, GhanaBachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at Kwame Nkrumah University of Science and Technology, KumasiMaster of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at McGill University
English, twi, ga
Github Skills (11)
neural-network10
paddle10
machine-learning10
pytorch10
deeplearning-ai10
deep-learning10
python10
converter10
testing9
tensorflow9
jax9
Programming languages (2)
Github contributions (5)
ivy-llc/ivy
Sep 2023 - Feb 2024
Convert Machine Learning Code Between Frameworks
Role in this project:
ML Engineer
ML EngineerContributions:13 PRs, 1 push, 18 comments in 5 months
Contributions summary:Ebenezer contributed to the `ivy-llc/ivy` repository by implementing and testing functions related to Paddle frontend support. Their work involved adding functionality for pixel unshuffle, JAX from_dlpack, and ifftn. They also contributed to paddle max_pool2d, tensor operations, and addressed failing tests related to the torch frontend and leaky relu.
pythontensorflowframework-learningtemplatedata-science
aibenStunner/face-mask-detector
May 2020 - Apr 2023
A face mask detector built with OpenCV, Keras/TensorFlow and Deep Learning
Contributions:11 PRs, 37 pushes, 11 branches in 2 years 11 months
maskface-mask-detectordeep-learningface-recognitioncomputer-vision
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