Vignesh Shankar
Machine Learning Engineer at Ground Truth Agriculture Inc
Canada
Summary
👤
Senior🎓
Top SchoolVignesh Shankar is a Machine Learning Engineer with nine years of experience applying computer vision, NLP, time-series forecasting, and predictive maintenance across healthcare, defense, forestry, and agriculture. He has moved models from research to production—improving instance segmentation mask AP by 45% and doubling inference speed through quantization and pruning—and built end-to-end MLOps pipelines using MLflow, DVC, and Dagshub. His research output includes a published Transformer‑GAN approach for forecasting patient trajectories, reflecting a strong foothold in both applied research and industry delivery. Currently he’s focused on automating grain grading with computer vision at Ground Truth Agriculture, bringing domain adaptation skills and real-world deployment experience to the agri-tech space. Collected experience in naval facial recognition/RFID modules and thermal‑video fire detection highlights his ability to design ML solutions for high-stakes, real‑time systems.
8 years of coding experience
2 years of employment as a software developer
Master of Computer Applications - MCA, Computer Science, Master of Computer Applications - MCA, Computer Science at Vellore Institute of Technology, VelloreMaster's degree, Computer Science, Master's degree, Computer Science at University of Regina
Stackoverflow
19reputation
1kreached
1answer
1question
Github Skills (33)
python8
deep-learning8
gpu8
machine-learning8
annotations8
imagenet8
semantic-segmentation7
computer-vision7
object-detection7
annotate6
neural-network6
scale6
dictionary6
tensorflow6
contour6
Programming languages (2)
Github contributions (5)
vigi30/Footprint
Dec 2019 - Dec 2019
Contributions:8 commits, 20 pushes, 1 branch in 1 day
vigi30/Literature-Review-App
Sep 2019 - May 2021
Contributions:5 pushes, 1 branch in 1 year 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.