Abhishek Ramanathapura Satyanarayana

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

Professional Summary

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.

Currently, I am working as Data Scientist - 2 at SatSure. I am working on leveraging remote sensing and geospatial data for developing and deploying data-driven AI, ML, DL, CV products and solutions for diverse use cases.

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.

Other Interests

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.

Lifelong skill development and learning
Formal Education
Research Interests and Work

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

Oil Spill Segmentation using Deep Encoder-Decoder models
Abhishek Ramanathapura Satyanarayana || Maruf A. Dhali,
Github project page || ICPRAM 2025 paper || ArXiv paper

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


Inspired from Jon Barron