● Pioneered the development of a comprehensive testing suite for Presto, the animation software utilized by animators, ensuring code integrity and reliability. Enabled the use of the render farm for building and testing the software➞ The transition from CPU to GPU led to frequent and regular builds, which shortened release cycle● Revamped Pixar's development workflow with CICD practices, transitioning from manual to automated build and deployment. Additionally, refined management of secrets and configuration files● Designed and implemented an AI-powered search engine for shot and model retrieval for animators. Previously, shots and models were manually tagged and inserted into the database. This pipeline implementation eliminated manual work and improved the search results➞ This reduced search time for animators and modelers, increasing efficiency and productivity

● Designed a fully fault-tolerant serverless distributed system using AWS Lambdas and Step functions – diminishing the need for physical servers. ➞ This improved the reliability of the application as failed tasks can be queued for retries - preventing a single pointof failure● Implemented message queues to decouple existing distributed system ➞ As a result, the application does not need to depend on the number of concurrent connections to the database orbe weighed down by the communication within the code● Developed tools to automatically shutdown non-production environments and restart them up before work day ➞ Resulting in a 70% cost reduction in monthly bill● Pioneered new monitoring tools to collect container and application level metrics ➞ Was able to isolate bottlenecks and improve the overall performance of the system● Redesigned the deployment pipeline to include security and vulnerability testing● Enhanced the implementation of DB-maintain by utilizing Flyway to maintain and update the databases; by automating the process ➞ This eliminated the need for a full time DBA● Mentored 4 new team members and taught them Site Reliability Engineering practices in three weeks ➞ Enabling them to add value to the company within a month

● Adapted AWS ‘s Well Architected Framework while building the infrastructure ➞ Introduced and pioneered the usage of microservices at Pearson● Architected the initial infrastructure with Docker containers on isolated VPC with ALB, CloudWatch events and logs, Auto Scaling groups, Relational Database Services, serverless Lambdas applications, CloudFront, Route53, and IAM ➞ This set the foundation for other products within Pearson● Collaborated with the release engineering team to isolate the infrastructure deployment from code deployment by setting up 2 discrete pipelines ➞ Reduced release cycle from monthly to biweekly

● Migrated products and services from the legacy in-house servers to AWS ➞ Cutting maintenance costs by 30% ● Implemented auto-scaling to scale up servers when services are being used extensively, and scale down when usage is low ➞ Improving the server capacity to handle 1.5 million simultaneous test takers and lowering the cost of hosting ● Pioneered the usage of Chef as a tool to provision servers across all products in the company● Refactored and improved existing Nagios scripts which monitor the state of daemons for the backend engine ➞ Reducing the downtime of the backend system● Developed a fully automated end-to-end smoke test pipeline by integrating Jenkins and Selenium● Influenced the manager to switch from the dynamically-typed language, Perl to the statically-typed language, Go by developing prototypes and comparing cases in both languages

● Developed and maintained company’s intranet using ASP.net● Designed two prototypes to replace company’s existing corporate website● Helped company transition to the Content Management System (CMS) – DotNetNuke(ASP.net platform)