Experience

Software Engineering Intern @ Autodesk

Atlanta, GA May 2022 - Aug 2022

• Created ETL scripts to pull data from three key learning platforms into AWS Neptune, leveraging openCypher for querying – resulting in a highly connected knowledge graph consisting of over 30000 nodes and around 50000 relationships
• Developed a graph-based recommendation system utilizing AWS Neptune which increased monthly active users by 40% (estd)
• Implemented a GraphQL API for the recommendation engine consisting of Lambda functions (built using the Node.js Serverless framework) exposed over AWS AppSync to enable dynamic querying of the knowledge graph
• Provisioned and configured different AWS instances (EC2, Neptune, AppSync, Lambdas) and IAM roles using Cloudformation

Tech stack: AWS, Node.js, Java, Neo4j, Cypher

Head Teaching Assistant @ Georgia Tech

Atlanta, GA Jan 2022 - Present

• Teaching assistant for the CSE 6242 - Data and Visual Analytics course consisting of over 1200 students
• Responsible for updating and creating autograder scripts, grading assignments, holding office hours and ensuring smooth collaboration between TAs

Software Engineering Specialist @ General Electric

Hyderabad, India Aug 2020 - Aug 2021

• Optimized GE’s Kubernetes based solution for creating microservices over AWS – used by over 150 teams globally
• Designed and developed REST-based microservices using Java and Spring Boot to add functionality to the platform (e.g., testing, storing preferences, data layer, etc.) – dockerized and deployed them as Kubernetes pods on the cluster as well as wrote Jenkins jobs for some of them
• Created & updated PDIs & Helm charts for automating the pod deployments; migrated build artifacts to JFrog Artifactory
• Visualized pod and system-level statistics for over 15 internal and default components using Grafana and Prometheus
• Configured Alertmanager to send out alerts to relevant stakeholders when user-defined thresholds were crossed
• Conducted performance tests on messaging queues (Artemis and Kafka) using Apache Camel to ensure that SLAs were being met

Tech stack: Java, Spring Boot, Kubernetes, Docker, PostgreSQL, Prometheus, Grafana, Alertmanager, Jenkins