My Career

Software Development Engineer Intern (Jan. 2023 to Jun. 2023) [Certificate]
Worked in Full-Stack Development as a part of the 6-membered SQS-CTT under the Digital Support Engineering Division.
Was managed by Shalini A P and advised by Vivek Sunderraj.
Investigated and implemented an efficient technique to record page-level metrics across 3 applications at minimum cost, saving 5 hours per week of manual analysis.
Enhanced the processing and visualizing of 30+ web vitals, 500+ frequently occurring errors, and navigation trends of 12000+ active users, using AWS CloudWatch RUM.
Developed ‘Insights and Conversations’ feature for 1100 internal testers and 200+ stakeholders to raise concerns and record insights on 13 testing metrics and start interactive conversations on the insights.
Skills: Java, ReactJS, NodeJS, TypeScript, RESTful APIs, MySQL, AWS, Docker

Project Intern (May. 2021 to Nov. 2021) [Certificate]
Worked in collaboration with Samsung R&D's IoT team, as a part of the 'Samsung PRISM' program.
Was managed and advised by Suyambulingam Rathinasamy Muthupandi.
Conceived a novel machine learning model that makes decisions to execute JavaScript compute units locally or remotely by predicting and comparing the time of execution in the local machine and 7 different servers by analyzing execution time of 10000+ executions of similar complexity algorithms in each machine/server.
Achieved an accuracy of 87.1% in predicting the execution time of a given application in multiple devices using a single model and an accuracy of 89.2% in making the correct offloading decision and received a Certificate of Excellence for the work done in solving the offload decision making problem and reducing the average time to execute a compute unit by 37%.
Skills: Flutter, ReactJS, Python, PyTorch, Machine Learning, Internet of Things