Akshay Chandra
Doctoral Candidate
Germany
Summary
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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 (34)
bounding-box10
webcam10
cnn-keras10
image-resizer10
segmentation10
object-detection10
paint10
image-slicer10
python9
opencv9
actor-critic8
pytorch8
human-computer-interaction8
image-classification8
deep-learning7
Programming languages (5)
Github contributions (5)
acl21/Alphabet_Recognition_Gestures
May 2018 - Jul 2020
This python application recognizes alphabet from real time webcam data. The user is allowed to write the alphabet on the screen using an object-of-interest (a water bottle cap in this case).
Contributions:11 commits, 6 pushes, 7 comments in 2 years 2 months
pythonwebcam
acl21/deep-active-learning-pytorch
Nov 2020 - Sep 2021
A PyTorch toolkit with 8 popular deep active learning query methods implemented.
Contributions:26 commits, 24 pushes, 1 branch in 10 months
pytorchdeep-active-learningimage-classificationtoolkit
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