Gokul Elumalai

Software Engineer

Indium Software (India) Private Limited•  July 2024 - Present•  Bangalore

Supported UberEats as a Level 3 Engineer, enhancing application reliability and user satisfaction. Resolved over 50 customer queries and technical issues weekly, improving response times and customer experience. Led high-impact incident troubleshooting, achieving a 30% reduction in average resolution time through cross-functional collaboration. Contributed to the development and optimization of prompts for Uber's Large Language Model, improving AI response accuracy. Documented common issues and solutions, leading to a 15% decrease in repetitive queries and boosting team efficiency. Mentored junior support engineers, enhancing team performance and increasing knowledge retention across the department.

Research Engineer I (Backend)

BUDDI.AI•  August 2022 - September 2023•  Chennai

Worked on Medical coding automation platform which predicts coding related claim denials using Artificial intelligence. Developed functionalities and endpoints for the existing platform which enables to predict new categories of medical codes, generates prediction explainability data for auditing and analysis based on the business requirements. Developed and maintained an end-to-end Python application to process 10000+ medical records per day to test the prediction accuracy of the platform, generate statistical reports and display through dashboard for analysis. Improved prediction accuracy of the platform by ~20% and reduced analysis time of subject matter experts by 40% using the analysis data.

Junior Research Engineer (Backend)

BUDDI.AI•  December 2019 - July 2022•  Chennai

Collaborated with the subject matter experts and Research scientists to improve the prediction accuracy of the Medical coding automation platform. Designed and developed applications to generate analysis data which reduced the analyzing time of the subject matter experts and researchers by 20%. Analyzed the platform and optimized the medical coding rules that reduced the error by 3%. Worked on machine learning models to classify medical procedures.

Senior Systems Engineer

Infosys•  March 2017 - June 2019•  Chennai

Worked on CITIGROUP Inc. payment processors which processes real time payment data events in the Big Data platform. Maintained the Data Ingestion tool, which transfers 100000+ transactions per day from Relational database to Big Data environment. Improved performance of tasks involving text processing by 80% using Unix utilities like sed, awk etc. Developed Shell scripts and Python programs to automate the maintenance tasks.