Akhil Thomas
Research Associate
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolAkhil Thomas is an AI-driven materials science researcher with 11 years of experience, currently a Research Associate at Fraunhofer IWM in Freiburg, specializing in deep learning for microstructural computer vision and micro-mechanical fatigue analysis. He builds practical ML solutions—from damage detection and phase segmentation to semantic materials dataspaces—bridging experiment and simulation data to enable more interpretable, domain-aware AI. Comfortable with graph-, grid-, and tabular-based models, he focuses on integrating domain knowledge into architectures to improve both pattern recognition and reasoning on scientific datasets. His background includes research roles at IISc and clinical research exposure, reflecting a blend of rigorous academic training and applied interdisciplinary problem solving.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MSc., Master of Science - MSc. at The University of FreiburgMaster’s Degree - MSc. (Discontinued), Master’s Degree - MSc. (Discontinued) at Bonn-Rhein-Sieg University of Applied SciencesBachelor's Degree, Bachelor's Degree at Indian Institute of Technology, BhubaneswarHigh School Diploma, High School Diploma at Devamatha CMI Public School
English, Malayalam, Hindi, German, Tamil
Github Skills (9)
segmentation10
point-cloud10
random-forest10
classification10
ontology6
pmd4
django-forms4
pytorch1
grad-cam1
Programming languages (4)
Github contributions (5)
akhilthomas17/pointcloud-landmarks-extractor
Dec 2016 - Nov 2019
Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data
Contributions:67 commits, 38 pushes, 13 branches in 2 years 11 months
point-cloudpcl-librarysegmentationrandom-forestclassification
akhilthomas17/reinforced_visual_slam
Jan 2018 - Jul 2018
Contributions:28 commits, 18 pushes, 1 branch in 6 months
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