Resource Prediction Of Test Runs- Achieved 98% optimized resource allocation and improved project efficiency through accurate resource utilization prediction.- Implemented deep learning model as a micro-service for fast and accurate resource prediction resulting in a 50% reduction.Enhance Platform And Operational Stability Of Existing CI/CD Pipeline And API- Lead stability teams for robust code development with Python, Flask, Kubernetes, Postgres SQL, ECS, and AWS S3 in agile.- Increased platform stability to >80% by enhancing CI/CD pipeline, Architecture, & API resulting in saving of the project.- Streamlined coding practices, architecture rules, and code reviews with Vice President (VP), Eng. Manager, and Client(GM).- Received recognition for outstanding performance and seamless collaboration with engineers, managers, VPs, and customers

- Successfully migrated tests from the old framework to the new one through optimized test scripts, increasing 20% performance.- Played a key role in the API documentation for comprehensive test coverage and streamlining good code practices for migration.- Provided advice with data on optimizing the backup system for improved efficiency and reliability for $5.744B Cloud's revenue.

- Achieved improved revenue and business outcomes through diverse ML projects for financial start-ups by solving pain points.- Ensured project success and client satisfaction resulting in a 4.8 rating by maintaining regular communication with clients.- Exhibited strong client management skills and got good feedback with 5 stars by maintaining a customer-centric approach

Developed productivity measurement system & automated tasks using Jenkins, Docker, Django & other CI/CD tools.

- Streamlined doc management by implementing a system with upload, download, and version control, improving efficiency.