Experience

• Designed and built technical prototypes of products and services that solve challenges in automotive cybersecurity.

• Built vehicle virtual cybersecurity laboratory tool for the academic & industry automotive cybersecurity researchers and practitioners.

• Enhanced 20+ features of a ReactJS based web app to improve user experience by 35%

• Improved the app performance by 30%, specifically the page loading and eliminated unnecessary API calls.

• Spearheaded a team of 5 engineers to develop and maintain a high-selling frontend product (a search engine web plugin) using JavaScript.

• Handled a massive 1M+ records database and extracted insights using graph algorithms.

• Designed the core library using a ReactJS drag \& drop search page builder

• Developed and upsold 55,368+ ReactJS-based admin dashboards. Acted as a team-player.

• Developed an event management application API from scratch using NodeJS.

• Created client side web application to connect with the API using Angular JS.

Tech Stacks: Angular.js, Javascript, Nodejs.

• Taught 2 undergraduate level laboratory sessions over straight 6 semesters and mentored, such as Introduction to Computer Architecture & Introduction to Hardware Programming Language.

• Collaborated with course professors to design more than 20 laboratory assignments and acted as a mentor for the students to compile designs using Xilinx ISE software

• Explored the feasibility of graph theory &  statistical hypothesis analysis over automotive network time series data to detect  cyber attacks that led to achieve NSF funding (0.5 M).

• Published a scientific publication in IEEE T-ITS: Graph based intrusion detection system for controller area networks IF: 6.4. Q1 journal.