Hi I'm Arjun. A Vision Engineer with a demonstrated history of working in the Defense & Space industry. I have a keen eye for Aerial Robotics. Skilled in Python, Computer Vision, Neural nets, C++, and Linux. A vivid AI and Robotics enthusiast with a Bachelor of Technology focused in Electronics and Communications Engineering from Manipal Institute of Technology.
Besides my technical background, I am a hobby drummer often gigging and participating in competitions. Apart from music, I also take keen interest in the field of athletics and happen to be skilled in various sports like Track, Swimming, Squash and Air-Rifle shooting to name a few.
Always keen to find solutions to existing problems or unique ideas to implement.
Fluent in Python, Bash scripting and C++ (HTML IS NOT A CODING LANGUAGE)
Have had the privilege to develop a few industrial-grade protoypes.
Worked on and deployed solutions on embedded platforms.
Have a knack of working on Human Centeric Machine Interfacing.
Final year Undergraduate student with a minor in Data Science at MIT, Manipal.
2016-2020
Secured 93.8% in class XII CBSE Board Examination
2016
Implemented and optimized multiple image enhancement filters as a part of video super-resolution framework.
Also performed an in-depth perfomance analysis for implemented filters and demonstrated significant perceptual quality improvement shown by a improvement of 25 points on the VMAF scale.
Developed an ADAS System for cars to detect oncoming traffic and pedestrians using Haar Cascades and Multi-object tracker to improve road safety.Integrated rear-view camera displays with a buzzer to warn the driver about any threats on roads.Demonstrated this system to FIAT, Turkey at a meeting between Karel Electronics and FIAT.
Constructed an ADAS surround view system on an embedded platform using OpenCV and v4l2 for drivers to get a surround view of the vehicle.Incorporated 4 cameras to work simultaneously with the next generation rear-view cameras (instead of mirrors) in cars using OpenCV, V4L2, Driver Programming and C.
Responsible for envisioning and implementing vision and control systems. Developed prototypes and POCs for companies like Tata Steel, Tata Motors, Tata International and Towbotics.
Attended summer school organised by School of Computer Science at MUJ in Machine Learning.
Authored and published a paper on Analysis of Online News Popularity and Bank Marketing Using ARSkNN in an international journal - Advances in Intelligent Systems and Computing, Springers IC4S, Bangkok, October 2017, pp.13-22, ISBN No: 978-981-13-0341-8, Volume 759.