CV

Please find my updated CV here: Resume.pdf

Education

• Pursuing Ph.D. from Indian Institute of Technology, Guwahati, [2019 - 2023] (expected)
  
  • Research involves: Facial Expression Recognition, Graph Representation Learning, Graph Neural Networks.
    
• Masters in Robotics, Defense Institute of Advanced Technology, Pune, [2017 - 2019]
• Bachelors in Electronics and Telecommunication Engineering, National Institute of Technology, Raipur, [2012 - 2016]

Work experience

• Computer Vision Engineer, Part-time, AdPix Technologies
  July 2018 - Present
  
  • Working as part-time CV Engineer at AdPix Technologies
  • Participated in competitions like AlphaPilot Drone Challenge and Dare to Dream 2.0
• Project Intern, Center for Artificial Intelligence and Robotics
  July 2018 - May 2019
  
  • Worked as a project intern under Research Scientists
  • Work was on monocular depth estimation for drones
  • Tech Stack: ROS, OpenCV, Scikit-Learn

Skills

• Graph Representation Learning
  • PyTorch Geometric (Graph Neural Network library based on PyTorch)
  • Spektral (Graph Neural Network library based on TF and Keras)
  • PyGSP (Graph Signal Processing library in Python)
• Deep Learning Frameworks
  • PyTorch
  • TensorFlow
• Machine Learning
  • Scikit-Learn
  • OpenCV
  • Matplotlib
  • Pandas

Publications

Conferences:

1. Contextual Emotion Learning Challenge, in 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), December 2021
   
2. Detection and Location Estimation of Object in Unmanned Aerial Vehicle using Single Camera and GPS in IEEE First International Conference on Power, Control and Computing Technologies (ICPC2T), 2020, April 2020
   

Teaching

I have been the Teaching Assistant in 2 labs for 2 sessions:
1. Machine Learning Lab
Sessions: Jul-Nov 2020, Jul-Nov 2021
**2. Digital Signal Processors Lab
Sessions: Jan-May 2021, Jan-May 2022**