About

Barun Das is a motivated and skilled software engineer with a passion for large-scale software systems and intelligent agents. He is currently pursuing his Master's in Computer Science degree at Georgia Tech, where he is also involved in research on multimodal learning and improving domain generalization for machine learning systems. Barun has had a successful and fulfilling stint in the software industry, having worked for companies such as General Electric and Autodesk. As a Software Engineer Intern at Autodesk, Barun developed a graph-based recommendation system using AWS Neptune, which resulted in a highly connected knowledge graph containing over 30,000 nodes and 50,000 relationships. He also developed a GraphQL API consisting of Lambda functions and interfaced via AWS AppSync which allowed other developers to integrate the recommendation engine with their products. This system increased monthly active users by an estimated 40%. In the past, Barun has also worked as a Software Engineer at General Electric, where he developed GE's internal Kubernetes-based solution for deploying microservices over AWS or on-prem platforms. He helped automate the deployment process by creating relevant PDIs and optimized the CI/CD process for several services. Barun also designed some of the platform's functional components (preferences, data layer, messaging, etc.) as REST microservices using Spring Boot and created dashboards and monitoring frameworks using Grafana and Prometheus. Barun's education includes a Bachelor of Technology degree in Metallurgical and Materials Engineering from IIT and a Master of Science degree in Computer Science from Georgia Institute of Technology, which he is set to complete in May 2023. He also has experience in AISSCE and ICSE. Barun's tech stack includes skills in software engineering, recommendation systems, AWS, machine learning, research scientist, microservices, CI/CD, Kubernetes, Spring Boot, and Spring. When he is not studying or working, Barun enjoys playing and watching soccer, and is also working on developing more ML-centric models for analyzing soccer matches. Barun is actively looking for full-time opportunities in the fields of full-stack development and/or machine learning.