Akshay Chandra
Doctoral Candidate
Germany
Summary
👤
Senior🎓
Top SchoolAkshay Chandra is a doctoral candidate at the Robot Learning Lab, University of Freiburg, with a decade of experience spanning research and applied machine learning. His work bridges reinforcement learning, world models, and robot task learning, building on earlier research in learning with limited labeled data and practical computer vision systems. He has published peer-reviewed work from his time at IIT Hyderabad and honed hands-on robotic manipulation and skill sequencing as a student researcher in Freiburg. Prior industry experience includes delivering ML solutions across healthcare, retail, and e-commerce and shipping a custom object-detection retail application. Based in Germany, he combines rigorous academic training with product-minded engineering and a knack for turning theoretical models into reproducible lab and field results.
10 years of coding experience
6 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at The University of FreiburgJawaharlal Nehru Technological University HyderabadThe Indira Gandhi National Open University (IGNOU)
Github Skills (48)
yellow10
tiles10
splits10
water10
bounding10
factor10
annotations9
draw9
bounding-box9
hci8
actor-critic8
computer-vision8
cursor8
interaction8
webcam8
Programming languages (4)
Github contributions (5)
acl21/Selfie_Filters_OpenCV
May 2018 - Jul 2020
Contributions:13 commits, 9 pushes, 1 branch in 2 years 2 months
acl21/image_bbox_slicer
Mar 2019 - Dec 2021
This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.
Contributions:11 releases, 38 commits, 1 PR in 2 years 9 months
tilesannotationsbounding-box-annotationsboxbounding
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