September 2019 - Present
Worked as the graduate assistant for Big Data & Analytics. Optimized ML models and deployed them on cloud services such as AWS, GCP.
Experience in utilizing technologies such as Hadoop, Hive, Kafka and Zookeeper.
Conducted hands-on and training sessions for educating students on deploying models on AWS.
October 2017 - April 2019
Co-Founded the startup organization as part of the Texas Instruments' Design Competition, 2017, with a seed fund of $7000.
Our product, the Autonomous Exhaust Based Braking System(AEBS) was adjudged the Most Innovative Idea.
May 2017 - July 2017
Automized product registration and fault reporting by linking tasks to a database management system and averted manual tasks.
Improved data warehousing techniques by performing Direct-Path Insert and using Hash Joins instead of Nested Loop Joins.
December 2016 - April 2017
Managed the Back-End for the website for improving the recommendation engine.
Utilized Clustering Analysis for better sales insights and updated the student database for subscription using MySQL and Python.
Offered enhanced personalization based on student data for improving user experience.
Hi, I am Vignesh Viswanathan. Currently pursuing my Masters' in Computer Science at the University of Texas at Dallas and an AWS Certified Solutions Architect. I Live to Code and work towards empowering code and applications to better help the society.
I majored in Electronics and Telecommunication during my Undergrad Engineering and have extensively worked in fields such as embedded systems design and Robotics.
I did some exciting work with SPRAC, my institute's Robotic committee and participated in the Internation Robocon from 2016 through 2019. Along with two batchmates, I floated Exsilio Tech, an independent startup organization.
I enjoy freelancing and developing projects and applications as a hobby and take immense pleasure in teaching and public speaking.LinkedinGithub
Check out Exsilio Tech and our product, the autonomous exhaust braking system here:Exsilio
I am a Certified AWS Solutions Architect - Associate. You can View my Certification here
The product patent for the AEBS was accepted by the Controller of Patents of India as an Intellectual property and filed as a provisional patent in 2018. ID: 201821027581
The Autonomous Exhaust Based Braking System(AEBS), designed for two-wheelers, cultivated the exhaust and performed autonomous braking. The basic utility of the AEBS was an Air-Brake, but instead of using pressurized air, it used pressurized exhaust.
Sardar Patel Institute of Robotics and Automation(SPRAC) participates in the International Robocon every year. In the ABU Robocon '18, SPRAC ranked 6th overall India. I headed the image processing and autonomous algorithm design team for the Autonomous Robot.
Master's in Computer Science
University of Texas at Dallas
2019 - 2021
Bachelor in Engineering
Sardar Patel Institute of Technology
— 2015 - 2019
Ruby/Ruby on Rails
React/Wordpress Web Development