• Created API documentation for 30 APIs in a Springboot application whilst fixing encountered issues and identifying areas of improvement.

• Designed and implemented robust monitoring systems using Autosys and ITRS Geneos, which resulted in an increased uptime of 30%.

• Automated the process of adding restricted trades from multiple data sources to the SQL database using Python, reducing manual work by 75%.

• Prepared and preprocessed over 5GB of data for anomaly detection, leveraging reinforcement learning techniques to enhance detection accuracy and model efficiency.

• Researched machine learning methodologies used in perception for Autonomous vehicles, specializing in F1TENTH vehicles.

• Delivered a fully automated CI/CD pipeline to implement a disaster recovery system for microservices during downtime.

• Integrated microservices running in Kubernetes with Prometheus and Grafana by following the SRE best practices to set up logging, monitoring, and alerting and participated in on-call support.

• Executed the migration of the front end from JavaScript to React.js, transforming the application into a more modular, maintainable, and dynamic user interface, improving scalability and user experience.

• Developed instructional materials for the Business Objects course and guided a class of 35 students in building a Java Spring-based web application project.

• Secured all of Aconex services by integrating them with password management tools such as Hashicorp Vault and fixing the security threats that arose during the service upgrades.

• Accelerated the process for setting up development environments for 40 different teams by 90% by establishing an end-to-end CI/CD pipeline using a multi-tenant snapshot model.

• Single-handedly conceptualized and developed a system for puppet code management using git for multiple development environments that disrupted the manual process and made it highly reliable.