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, I am currently a Robotics System Design (MRSD) student at Carnegie Mellon University 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 unique and simple solutions to challenges
Fluent in Python, Bash scripting and C++
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
Master's in Robotics Systems Development (MRSD) student at Carnegie Mellon University.
2023
Graduated with a minor in Data Science from MIT, Manipal.
2020
Implemented and deployed a scalable end-to-end Structure from Motion (SfM) pipeline which was employd by various devices
Developed, trained and deployed CNN model to scale for mask detection with an accuracy of 95% which is being used by 200 people per day on average
Successfully integrated live drone feed with VR goggles for inspection purposes
Implemented and tested UNet and DeepLabv3+ on SAR images for identifying land and water in SAR images, attaining an accuracy of 93% (Unet) and 98% (DeepLabv3+)
Developed a distance measuring algorithm using morphological transformation and Euclidean distance measurement and obtained an average error of 22 meters
Published findings in Elsevier’s Computers and Geosciences Journal
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.