• Developed ML pipelines for LLM applications on AWS using Docker and Terraform.

• Built AI/ML platform for ASU faculty with React.js, DynamoDB, and AWS Lambda.

• Optimized Milvus vector database performance and implemented efficient data ingestion strategies.

• Enhanced Engage mobile app with Redux, reducing response times by 30% and boosting overall

responsiveness by 20%

• Developed RESTful APIs for IoT device communication, managing 100,000+ concurrent users

seamlessly.

• Implemented automated CI/CD workflows, resulting in a 25% reduction in project delivery time, and

engineered a robust Automation Framework for web and mobile app testing, reducing manual efforts

by 70%.

• Developed a Python tool for Azure DevOps Data Mining, reducing manual scraping by 40% through

seamless integration of Azure APIs.

• Engineered a Python and React-based Card-Simulator tool with VirtualBench integration, eliminating

the need for over 30 physical card types.

• Spearheaded the creation and deployment of a React and Node.js web application, centralizing

document storage and enabling online documentation for the software team.