CV
General Information
Full Name | Akshay L Chandra |
Education
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2021-Now
Master of Science (Computer Science)
University of Freiburg, Freiburg, Germany
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2017-2018
Post-Graduate Diploma (Applied Statistics)
Indira Gandhi National Open University, Delhi, India
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2013-2017
Bachelor of Technology (Computer Science and Engineering)
Jawaharlal Nehru Technological University, Hyderabad, India
Experience
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2022 - Now
Student Research Assistant
Autonomous Intelligent Systems Lab, University of Freiburg
- Working towards making Robot Manipulation more physics intuitive with Reinforcement Learning, supervised by Iman Nematollahi and Prof. Dr. Wolfram Burgard at the Autonomous Intelligent Systems (AIS) Lab.
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2018-2021
Research Assistant
Indian Institute of Technology, Hyderabad, India
- I spent almost 3 years assisting Prof. Dr Vineeth N Balasubramanian's research at Lab1055. I also collaborated actively with Prof. Dr Wei Guo from the International Field Phenomics Research Laboratory to work on Plant Phenomic problems.
- During my time at IITH, I was fortunate enough to publish four peer-reviewed research articles in the area of “Machine Learning with Limited Labeled Data” with a few more still to come. I was also fortunate to have co-authored a chapter in a soon-to-be-published book “Plant Omics: Advances in Big Data Biology”. I feel extremely lucky to have had an opportunity to learn from the brilliant members of the lab on how cutting edge computer science research is done.
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2017-2018
Associate Software Engineer
GGK Technologies, Hyderabad, India.
- While in training, I spent most of the days learning, understanding, implementing and pondering over various concepts of Linear Algebra, Calculus (Optimization) and Machine Learning. Completed two POCs - "Reservation Cancellation Prediction" and "Fashion Clothes Recommendation System". Won Trainee-Of-The-Month award in July 2017 amongst 28 other trainees.
- As a core member of the AI team, my responsibilities included helping clients in health care, retail, e-commerce industries optimize their existing processes by building useful prediction models, capturing customer/patient behaviour patterns, identifying correlation and causation, maintaining data quality for smooth visualization and modeling. Exclusively worked on building a Computer Vision application that detects product pickups in a retail store from just the CCTV footage.
- Won Star-Of-The-Month award in August 2018 for successfully incorporating a custom Object Detection model in the above mentioned Computer Vision application.
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2016
Software Engineer Intern
Polycom Inc., Hyderabad, India
- Worked on their Android platform. Enhanced existing code for the 'Jaguar' version update of their operating system. Completed a Speech Recognition POC in Android, with the help of Google's Speech API.