• Designed and built a dedicated Scaler service to enable multi-cloud capability for IBM's Planning and Analytics Spreadsheet Services, addressing the unique challenges of orchestrating a stateful application.

• Spearheading multiple initiatives by providing guidance, mentorship, and support to a team of 2 contractors.

• Collaborating closely with cross-functional teams, including Quality Engineering (QE), Security, and Senior Technical Architects, to ensure seamless build and deployment processes.

• Ensuring highest level of application security by leading triaging and investigation of any security vulnerabilities

• Reduced build time by 50% and eliminated manual errors through the design and implementation of an automated CI pipeline for all services.

• Containerized all applications using Docker for enhanced deployment and scalability.

• Implemented parallel execution of UI tests by deploying a Selenium Grid on top of Docker Swarm infrastructure and seamlessly integrating these tests into the CI pipeline.

• Enabled video analysis by developing a Stationary Object Detection and Tracking system in C.

• Conducted comprehensive testing on a variety of videos, including those from experimental setups, to validate and refine the system's performance.

• Achieved real-time performance by porting the software to GPGPU (General-Purpose Graphics Processing Unit) architecture.

Improved the accuracy of density and temperature prediction made from LiDAR data by developing and implementing a LiDAR de-noising system using Matlab.