Summary
Akhil Meethal is an Associate Lead Scientist and PhD-trained machine learning researcher with 13 years' experience building applied AI across aviation human factors, precision agriculture, and healthcare. He specializes in domain adaptation of foundation models, multimodal cognitive load understanding, and computer vision workflows from UAV LIDAR to drone imagery for robust inspection. Akhil has moved research prototypes into practical systems—real-time physiological sensing and analytics for operator monitoring, farm-level weed-mapping from drone data, and an OCR+LLM medication verification pipeline—demonstrating both algorithmic depth and product-focused engineering. Based in Ottawa, he blends academic rigor from a PhD at ÉTS with hands-on embedded and cloud deployments (Jetson/ROS, wearable sensors), and a knack for personalizing models through user-specific adaptations. Notably, his work emphasizes reducing supervision via domain adaptation and semi-supervised learning to make models resilient in real-world, data-sparse settings.
13 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning and Computer Vision, Doctor of Philosophy - PhD, Machine Learning and Computer Vision at École de technologie supérieure
Masters in, Machine Learning & Computing, Masters in, Machine Learning & Computing at Indian Institute of Space Science and Technology(IIST)
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at College of Engineering, Trivandrum
McGill University
English, Hindi, Malayalam