My Career

Professional work, projects, courses, certifications and all that...

Education

Bachelor of Technology in Computer Science & Engineering.
at Manipal Institute of Technology.

CGPA: 9.22

Graduated - July 2021

Work Experience

01 February 2021 - 01 June 2021

Undergraduate Research Assistant
at Manipal Institute of Technology

Developed computer vision-based trackers to track the hand
movement and extended it to games implemented in Unity 3D, for
training and diagnosis of Cerebral Palsy in the hands of children.

19 July 2021 - Present

SAP Analyst
at Deloitte

Working on business warehousing using SAP suite of software to solve real world problems for clients of Deloitte.

Projects

Facial Expression Recognition

Facial Expression Recognition System

A web application that detects facial expression real time. Uses haarcascade frontal face model from OpenCV to extract face bounding boxes from input frames and passes it to a DNN trained to classify facial expression. Deployed using Flask.
Github: http://bit.ly/rs-expressiondetection

Blockchain based polling system

SEVAM - Secure Electronic Voting and Authentication Machine

Developed the blockchain system that coordinates the procedure of polling
making sure that each vote counted is valid. Uses: Solidity and Truffle for the
dApp on the Ethereum blockchain, TensorFlow, OpenPose and SightEngine API.
Java for UI.
SEVAM v1 proposal Video: http://bit.ly/rs-sevam-video

Library Database Management System

Library Database Management System

Developed a stand-alone application to manage records of lending of books, arrival
of new books, staff and customer management and penalty calculations. Uses:
Java Swings, JDBMS, Oracle SQL
Github: http://bit.ly/rs-LDBMS

Blockchain based polling system

Smart Bin

Designed and developed the IoT framework using Microsoft Azure IoT Hub and PowerBI to capture data from a line-following smart dustbin and connected it with an app that helps in efficient collection, segregation and disposal of waste in the home and office. This project was one of the finalists of the code.fun.do hackathon by Microsoft and was demonstrated at the AXLE 2018 Showcase event.

Check out my Github profile to explore more projects I have worked on.