Shashibushan Yenkanchi
Toronto,ON
Summary
Experienced machine learning engineer and an avid researcher with proven abilities of building and leading AI product team which is responsible for proof of concepts, fast prototyping and taking trained ML models to production.
Overview
7
7
years of professional experience
8
8
years of post-secondary education
Work History
Technical Director of Machine Learning
NetraMark Corp
10.2018 - Current
- Developed a pipeline to generate synthetic patient data using generative AI(GAN) to overcome small sample size during clinical trials.
- Developed an automatic report generation and diagnoses by fine tuning LLM( ChatGPT).
- Built a computer vision application to segment and mark the affected nasal section of CT scans using CNNs.
- Developed a facial expression recognition and eye tracking system for a mental health application called 'Nurosene'.
- Created ML application using combination of classical feature extraction and dimensionality reduction techniques to analyze huge clinical trials datasets. This was also used to analyze patient's MRNA sequence and genes for drug discovery.
- Developed an IoT platform for people counting, people tracking for social distancing, facial recognition and mask detection for closed space environments.
Research Scientist
Fugro Roadware
02.2018 - 12.2018
- Designed ML framework to analyze road infrastructure and asset management such as fire hydrant, road signs and traffic lights to keep check of an inventory.
- Developed AI features for ’IVision’ product to detect distress types like Pothole Detection, Cracks and transverse profiling of the pavement.
- Responsible for camera calibration and other sensors attached on specialized vehicles to collect pavement data and was a part of team that led to " Fugro Patent 2018 ".
Partner & Computer Vision Lead
X-Matik
10.2017 - 05.2018
- Represented part of team that was featured on Dragon's Den 2018.
- Developed AI features for ’LaneCruise’ product to solve problems like Lane Detection, Vehicles detection and steering angle control by processing Camera Data for L1/L2 Self Driving Cars.
- Designed architecture of embedded software systems for online training of ML models.
VP of Machine Learning
ElectricBrain
10.2016 - 03.2017
- Managed AI consulting by being a solutions architect to help clients with Machine learning projects
- Researched & implemented state-of-the art architectures for NLP and computer vision to automate the training process on real world datasets.
- Created application to analyze various sources of datasets like texts, images and combination of numbers with texts to automate training process of deep neural networks.
Education
Master of Applied Science (M.A.Sc) -
University of Windsor
08.2013 - 01.2016
Master of Engineering (M.ENG) -
University of Windsor
01.2012 - 06.2013
Bachelor of Engineering (B.E) -
Visvesvaraya Technological University
07.2006 - 06.2010
Skills
Programing Languages: Python, C, C, Javascript, R, Matlab
Accomplishments
- HIGH SPEED STEREOSCOPIC PAVEMENT SURFACE SCANNING SYSTEM AND METHOD”, Patent date Filed Jan 25, 2019 Patent issuer and number us 20190154442
- Siddhant Jian, Jalal Ziauddin, Paul Leonchyk, Shashibushan Yenkanchi & Joseph Geraci, “Quantum and classical machine learning for classification of non-small-cell lung cancer patients”, SN Applied Sciences, 2020
- Shashibushan Yenkanchi and Q M Jonathan Wu, “Cooperative Fusion for Road obstacles detection using Laser Scanner and Camera”, Proceedings of the 12th World Congress on Intelligent Control and Automation, 2016.
Timeline
Technical Director of Machine Learning
NetraMark Corp
10.2018 - Current
Research Scientist
Fugro Roadware
02.2018 - 12.2018
Partner & Computer Vision Lead
X-Matik
10.2017 - 05.2018
VP of Machine Learning
ElectricBrain
10.2016 - 03.2017
Master of Applied Science (M.A.Sc) -
University of Windsor
08.2013 - 01.2016
Master of Engineering (M.ENG) -
University of Windsor
01.2012 - 06.2013
Bachelor of Engineering (B.E) -
Visvesvaraya Technological University
07.2006 - 06.2010
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