General Information

Full Name Akshay L Chandra


  • 2021-Now
    Master of Science (Computer Science)
    University of Freiburg, Freiburg, Germany
  • 2017-2018
    Post-Graduate Diploma (Applied Statistics)
    Indira Gandhi National Open University, Delhi, India
  • 2013-2017
    Bachelor of Technology (Computer Science and Engineering)
    Jawaharlal Nehru Technological University, Hyderabad, India


  • 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.
  • 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.
  • 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.
  • 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.