Maheshwaran Umapathy

Computer Vision Engineer 2 at KeyMe Locksmiths

Maheshwaran Umapathy has a diverse work experience spanning from 2015 to present. From 2015 to 2017, they worked as an ITIS CLOUD TECHNICIAN at Tata Consultancy Services. During this time, they also worked as a Research Assistant at Open Cloud Institute from 2017 to 2018. From 2018 to 2019, they were a Deep Learning Intern at uSens Inc. Maheshwaran then worked as a Software Engineer Computer Vision at PLNAR (SmartPicture Technologies Inc) from 2019 to 2020, and is currently a Computer Vision Engineer at KeyMe Locksmiths since 2021. During their time at PLNAR, they trained and customized tiny YOLOv3 object detection model to perform corner detection, created a pipeline to acquire data from the Google cloud blob storage to train YOLO v3 with minimum human supervision, and performed transfer learning on YOLO v3 using Google Open Image dataset to detect and localize 60 classes of interior objects. Maheshwaran also created a Django webserver to provide RESTful services hosting multiple trained deep learning model and optimized and integrated trained model into Django webserver with input validation and unit testing.

Maheshwaran Umapathy obtained a Bachelor's Degree in Electrical Engineering from Anna University between 2011 and 2015. Maheshwaran then obtained a Master's Degree in Computer Engineering from The University of Texas at San Antonio between 2016 and 2018. In addition, they have obtained two certifications: Neural Networks and Deep Learning from Coursera in September 2017, and Advanced Real Time Embedded Systems from ThinkLABS Technosolutions Pvt. Ltd. in August 2013.

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