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Engineering software systems that power AI-based diagnostic tools for dental and medical healthcare.

Worked for UF Health

 Engineered a microservices-based architecture for a distributed clinical image management system using Java, Spring Boot, and Hibernate, ensuring modular, scalable, and maintainable code. Improved system performance and reduced downtime by integrating RabbitMQ for asynchronous communication between services.

 Optimized data storage and retrieval by implementing efficient indexing in MongoDB and Redis for in-memory caching, cutting image retrieval times by 65%.

 Developed and containerized services with Docker, streamlining deployments and ensuring consistency across environments. Deployed and managed containers using Kubernetes, enabling dynamic scaling and resource allocation under peak loads, achieving 99.98% system uptime.

 Implemented front-end integration by developing key backend APIs to power a web application for clinical image upload and visualization, ensuring seamless interaction with React.js front-end features.

 Enhanced annotation efficiency for histology image data by developing advanced processing pipelines. Automated feature extraction workflows using Java plugins for Docker-based systems, reducing annotation

time by 93% and improving accuracy by 45%.

 Architected AWS cloud infrastructure with EC2, S3, CloudWatch, and IAM to manage large-scale clinical datasets securely and reliably. Ensured high availability and optimized storage solutions for critical image data.

 Built and integrated unit tests using JUnit to ensure code quality and maintainability. Automated testing pipelines for RESTful APIs, improving system reliability and reducing debugging time by 30%.

Projection Technologies

 Developed a high-performance binary protocol in Java for packetized bulk data transfer between smartphones and car head units, increasing file transfer efficiency by 75% and supporting diverse file types.

 Implemented React-based user interfaces for mobile applications, improving user experience through

responsive design and interactive features, leading to a 50% increase in user engagement metrics.

 Architected scalable microservices using Spring Boot, Docker, and Kubernetes, optimizing RESTful APIs for a vehicle health dashboard, reducing system response times by 30%.

 Streamlined real-time data streaming and processing by integrating Apache Kafka and Elasticsearch into microservices, enhancing search efficiency and log retrieval, automated deployments with Jenkins CI/CD.

 Streamlined development workflow by leveraging Maven for build management, Git for version control, and Jenkins for continuous integration and delivery pipelines

 Pioneered a scalable microservices based solution using Spring Boot and Spring Cloud for policy management, enabling seamless integration with third-party systems through RESTful APIs.

 Optimized database performance in SQL Server by designing efficient queries, implementing indexing

strategies, and developing stored procedures, resulting in a 40% reduction in query response time.