Vinod Vs
Computer Vision Engineer at Wesense.ai- Claim this Profile
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Bio
Credentials
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
deeplearning.aiJan, 2021- Oct, 2024 -
Structuring Machine Learning Projects
deeplearning.aiJan, 2021- Oct, 2024 -
Neural Networks and Deep Learning
deeplearning.aiDec, 2020- Oct, 2024
Experience
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Wesense.ai
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India
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Software Development
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1 - 100 Employee
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Computer Vision Engineer
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Jan 2019 - Present
Participated in all phases of system deployment life cycle, from requirements analysis through system implementation.Developed python code to detect and re-identify people across different cameras in a location, also across a timeline.Re-engineered legacy code to utilize a no-SQL database (MongoDB).Built a people interaction statistics software that reads live stream from CCTV cameras to produce interactions' information such as count, duration, and average interactions per day. (used to observe social behavior during COVID lockdown )Created software which produces heatmap of points where customers spent the most time in a store.Supervised intern to train and develop an age prediction ML model.Developed Face recognition software from scratch that takes attendance of employees and checks if employee is wearing mask. ( ignores background faces and uses AWS Rekognition tool if failed to identify locally )
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Computer Vision Intern
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Nov 2018 - Jan 2019
Worked on OpenCV and Tensorflow, using their libraries to experiment with, various image processing functions and using trained models to perform detection and multiple tracking algorithms.
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Ekzen Robotics
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India
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Automation Machinery Manufacturing
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1 - 100 Employee
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Lead Software Engineer
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Sep 2018 - Oct 2018
Created custom object detection model to detect nuts/bolts using tensorflow. (Also built a lighter model which uses object contours to identify)Used RaspberryPi to control a mechanical arm (DoBot) to use gripper / suction-cup to; identify nut/bolt, locate it on the workspace and remove it. Created custom object detection model to detect nuts/bolts using tensorflow. (Also built a lighter model which uses object contours to identify)Used RaspberryPi to control a mechanical arm (DoBot) to use gripper / suction-cup to; identify nut/bolt, locate it on the workspace and remove it.
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Education
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2014 - 2018
BMS Institute of Technology and Management
Bachelor of Engineering, Telecommunications Engineering -
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New Horizon Public School
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