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arif_sohaib@outlook.com

<BR>Muhammad Sohaib Arif <BR>Machine Learning Researcher with 4 years of experience, published research in and industry <BR>award winning projects <BR>Phone: (XXX) XXX-XXXX <BR>Email: XXXX@XXXX.XXX <BR>Location: Ypsilanti, MI, 48197 <BR>Linkedin: https://www.linkedin.com/in/muhammad-sohaib-arif-aaa371b0/ <BR>Github: https://github.com/ArifSohaib <BR>Published work: <BR>●<BR>Automated Impact Corroboration From Game Video In Ice-hockey Using Computer Vision <BR>Approaches --ACSM Medicine and Science in Sports and Exercise June 2019 <BR>●<BR>Impact Identification With Machine Learning From Low Frequency Wearable Sensor Data Among <BR>National Ice-hockey Players --ACSM Medicine and Science in Sports and Exercise June 2019 <BR>●<BR>Video corroboration of player incurred impacts using trunk worn sensors among national <BR>ice-hockey team members --ACSM Medicine and Science in Sports and Exercise May 2018 <BR>Awards: <BR>●<BR>Most Fundable Hack --HackHarvard October 2018 <BR>●<BR>Best Use of AI --Arm Autonomous Vehicle Competition November 2018 <BR>Significant Projects: <BR>Plant Disease Identification Robot(Farmaid) <BR>https://www.hackster.io/teamato/farmaid-plant-disease-detection-robot-55eeb1: <BR>Personal project Summer 2018 <BR>● Built robot for identifying diseases in tomato plants along with Ann Arbor Autonomous <BR>Vehicle Group. Project won Arm Autonomous Vehicle Competition best use of AI <BR>● Gave the original idea and wrote the pitch for the robot that won a Donkey Car robot <BR>chassis and hardware. <BR>● Wrote the navigation, obstacle avoidance and other code for the robot using Python. <BR>● Assisted hardware expert in team to define the hardware requirements for the physical <BR>platform and did part of the Arduino code. <BR>Impact Detection in ice hockey using sensors: <BR>Part of work as Graduate Research Assistant at Eastern Michigan University Department of <BR>Health Promotion and Human Performance <BR>● Developed dataset and algorithm based on Autoencoders, Ful y Connected Neural <BR>Networks, Logistic Regression and Support Vector Machines to classify highly skewed <BR>dataset <BR>● Presented work at university machine learning conference ● Published work in American Col ege of Sports Medicine(ACSM) journal Impact Detection in ice hockey using video data: <BR>Part of work as Graduate Research Assistant at Eastern Michigan University Department of <BR>Health Promotion and Human Performance <BR>● Created proper dataset combining sensor and video data <BR>● Used object detection to corroborate impacts in ice hockey <BR>● Published work in American Col ege of Sports Medicine(ACSM) journal <BR>Experience: <BR>Machine Learning Engineer <BR>Eastern Michigan University College of Technology, <BR>Ypsilanti, MI December 2018 - April 2019 <BR>●<BR>Built computer vision algorithms related to movement tracking <BR>●<BR>Presented work at North American International Auto Show 2019 <BR>●<BR>Worked on Donkey Car platform <BR>●<BR>Worked with ROS (Robot Operating System) to build autonomous robot <BR>Graduate Research Assistant <BR>Eastern Michigan University Department of Health Promotion and Human Performance, <BR>Ypsilanti, MI September 2017 - April 2019 <BR>●<BR>Conducted Machine Learning related research on player tracking and impact detection in ice <BR>hockey. <BR>●<BR>Developed algorithm for classifying highly skewed sensor dataset. <BR>●<BR>Designed and implemented algorithm for real-time object detection in fast-paced sports video. <BR>●<BR>Dataset creation from large amount of raw data. Created clean CSV based data from sensor data <BR>dump and made a video dataset from raw video. <BR>●<BR>Presented research in two conferences <BR>Skil s: <BR>Languages: Python, C++, Java, Javascript <BR>Frameworks: Tensorflow, PyTorch, Scikit learn, Keras, Django, Pandas, Matplotlib, Bokeh <BR>Tools: ROS, Linux, Arduino <BR>Cloud: AWS(EC2. S3, Dynamo DB, Sagemaker) , Google Cloud Platform (App Engine, Cloud SQL) <BR>Education: <BR>Master of Science in Computer Science <BR>Eastern Michigan University, January 2017 - April 2019 Bachelor of Science in Computer Science <BR>National University of Computer and Emerging Science, August 2010 - December 2015

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