Abhishek Ramanathapura Satyanarayana

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Hello fellow human! In a world of bots, crawlers, and AI, if you are reading this, welcome!

I am a growing AI engineer with deep interests in the domains of AI, Machine Learning, Deep Learning, Computer Vision, and Data Science. I am a motivated, talented, hardworking, and fast-learning professional. I have a long-term goal of contributing towards improving the various aspects of human lives and the environment through continuous development and deployment of AI, ML, and data-driven applications by adding value to all stakeholders, that has a significant impact on the real-world.

Previously, I was working as Data Scientist - 2 at SatSure in the Agri Data Science team. I primarily worked on leveraging remote sensing and geospatial data to develop and deploy data-driven AI, ML, DL, CV products and solutions for diverse use cases for earth observation. I developed, deployed, and owned the data download, data processing, label preparation, ML training, and inference pipelines for LULC + crop classification for Australia summer crop classification and Australia winter crop classification products. I also developed and owned the India village matching and India horticulture crop classification products.

During my second year in my Master's at University of Groningen, I worked as a Teaching Assistant for the following courses - Introduction to Data Science, Cognitive Robotics, Deep Learning, Computer Vision, and Handwriting Recognition.

I also interned as a Summer AI Intern at Tata Steel Europe. During the internship, I worked on supervised and unsupervised methods for surface steel defect identification. I was part of a team that delivered a production-ready steel surface defect classification model and a PoC for the unsupervised method. Our team won the award for Solving the Most Valuable Problem .

Previously, I worked as a Machine Learning Research Associate in the Autonomy team at Ati Motors. Ati Motors is on a quest to build autonomous cargo vehicles to be deployed in factories, warehouses, manufacturing plants etc. At Ati, I worked on continuous prototyping, research, development, and deployment of Machine Learning, Robot Perception, and Computer Vision solutions. I owned the obstacle classification, obstacle detection, road segmentation, and lane segmentation products developed using 2D camera images, and the drivable area segmentation product developed using 3D LiDAR point cloud data.

I usually spend my free time doing one of the following - playing badminton, playing chess, listening to music, watching technology videos and interesting podcasts, going for walks.

• Coursera Profile - Abhishek's Learnings

• Master's in Science in Artificial Intelligence - University of Groningen (RUG), Groningen, The Netherlands.

• Honours Master's in High Tech Systems and Materials - University of Groningen (RUG), Groningen, The Netherlands.

• Bachelor's in Technology in Information Technology - National Institute of Technology Karnataka (NITK), Surathkal, Mangaluru, India.

My research work is in the areas of intersection of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision.

This work is related to detecting oil spill from images extracted from satellite SAR data using Encoder-Decoder Segmentation models.

Inspired from Jon Barron