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Data Scientist

Location:
Mississauga, ON, L5M 3W8, Canada
Posted:
January 01, 2021

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Resume:

Mostafa Mohsen

647-***-**** adi2yz@r.postjobfree.com Mostafathereal Mostafa-Mohsen

Highlights

• Computer Vision Lead - Mars Rover • ML Tutorial Leader - AI Society Exec. • Cloud Computing - Data Architect @ TD

• Deep Learning Specialization - Andrew NG. • Embedded AI - Nvidia Jetson Platforms • Hackathon Wins - DeltaHacks Education

Software Engineering Co-op - GPA 3.7 - Golden Key (top 15%) 2017 - 2022 MCMASTER UNIVERSITY - BACHELOR OF ENGINEERING Hamilton ON

• Coursework: Software Design & Concurrency (A+) Data Structures & Algorithms (A-) Software PM (A+) SE Theory To Prac (A) Engineering Computation (A+) Signals & Systems (A+) Linear Optimization (A-) Digital Systems & Interfacing (A) Software Testing (A+)

• Sports: Ultimate Frisbee Intramural League

Deep Learning Specialization - deeplearning.ai Summer - 2019

• Coursework: Convolutional Neural Nets (A+) Tuning, Regularization & Optimization (A+) Structuring ML Projects (A+) Deep Neural Nets (A+) Computer Vision & SLAM June - 2020

• Advanced CV - Udemy: Greedy Layer-wise pre-training, Optical Flow, VGG, ResNet, Inception

• SLAM - Cyrill Stachniss: EKF SLAM, UKF SLAM, EIF SLAM, SEIF SLAM, Particle Filters & MCL, & more - GitHub Skills

• Languages: Python, C, C++, CUDA-C++, Go, Java, Bash, Swift, NASM

• Libraries/Frameworks: PyTorch, Keras, NumPy, OpenCV, TensorRT, CUDNN, Gstreamer, ONNX, Git, ROS

• Cloud Technologies: Spark, Data Bricks, Azure ML, Azure Data Factory, Azure Data Lake Storage

• Nvidia Platforms: Jetson Xavier NX, Jetson TX2

Experience

IBM 120 Bloor St E, Toronto, ON

DATA SCIENCE INTERN - COMPUTER VISION Jan 2021 - Apr 2021

• Creating, Implementing, validating & maintaining predictive & statistical models with a focus on Computer Vision tasks and Big Data TD Canada Trust 66 Wellington St W, Toronto, ON

ENTERPRISE DATA ARCHITECT INTERN - A.I. PLATFORMS May 2020 - Aug 2020

• Outlined and documented PySpark framework - Job Scheduling; Monitoring & Integration, ETL Process; Execution & Exception Handling

• Developing enterprise data architecture solutions supporting A.I. platforms - POC’s on new technologies Projects

Custom YoloV4 & Bench-marking DLA Inference Engines - GitHub - Medium Jul. 2020

• Training YoloV4 (PyTorch) on custom data set, exported to ONNX format, generated inference engines using TensorRT on Personal Project Nvidia Jetson Xavier - inference on Deep Learning Accelerators and GPU; 60 QPS throughput on volta GPU + 48 tensor cores Connected Autonomous Vehicles 1st Place @ Hackathon - GitHub- DevPost Jan. 2020

• Using environmental data collected by sensory nodes to asses road conditions and traffic. Relaying this info to AV’s 4 Person Project allows us to send warnings/protocols; dynamic speed limits, black ice/snow patch detection, left turn traffic indicator, etc.

• Reducing the need for a large visual radius on an AV decreases engineering costs while increasing safety, redundancy and reliability Optimized MNIST Model - From Scratch - GitHub Aug. 2019

• Designed and trained an NN model for MNIST and accelerated gradient descent with hand written optimization algorithms Personal Project

• Manually implemented; Momentum, RMSProp, Adam optimization, with mini batch GD & batch GD - 96% test accuracy Low-Level Convolution - CUDA-C++ & CUDNN - GitHub Jul. 2020

• 4-kernel edge detecting Cross Correlation with CUDNN in CUDA-C++, which allows for greater control over host (CPU) and Personal Project device (GPU) resources, and control over the time/space trade-off of parallelising programs. Extra Curriculars

Machine Learning Executive Tutorial Leader Sep. 2019 - May 2020 MCMASTER ARTIFICIAL INTELLIGENCE SOCIETY McMaster Univ

• Delivering ML/DL tutorials including theories, concepts and crafted walkthroughs to anybody willing to learn

• Material covered: DNN’s, Grad. Descent, Hyper-param tuning, Bias & Varience trade-off, optimization algorithms, Normalization Computer Vision Lead Oct. 2019 - May 2020

MCMASTER MARS ROVER TEAM McMaster Univ

• Developing CV system on Nvidia Jetson TX2 - A.I. computing platform using ROS; Path planning, Object detection, Aruco marker detection Workshops and Talks organizer Sep. 2020 - current

GOOGLE DSC McMaster Univ

• Organizing workshops and talks about anything Dev or Tech related, attracting more students to expand their skill set



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