Mr. Gopi Kathiresan

Empowering Intelligent Vision Systems with Java: From Code to Clarity

Abstract:

In an era driven by data and automation, intelligent vision systems are revolutionizing industries—from healthcare diagnostics to autonomous vehicles and smart surveillance. This talk explores how Java, a language known for its scalability and platform independence, is uniquely positioned to build robust and efficient vision-based applications.

We’ll delve into how Java frameworks, libraries (like OpenCV and Deep Java Library), and modern AI integrations can be used to power real-time image recognition, object detection, and visual data analytics. Attendees will gain insight into designing end-to-end intelligent vision pipelines, handling large visual datasets, and deploying models in production-ready systems using Java. Real-world use cases, architectural patterns, and code-level best practices will be shared to bridge the gap between theoretical models and practical implementation.

Whether you're a Java developer venturing into AI or a vision computing enthusiast looking for scalable solutions, this session will provide a clear path from concept to clarity in the realm of intelligent vision.

Profile:

Gopi Kathiresan is a seasoned Full-Stack Technical Lead and Java Architect with over 14 years of experience delivering enterprise-scale, cloud-native, and event-driven applications. With deep expertise in Java, Spring Boot, Angular, AWS, and Kafka, he has led modernization and microservices initiatives across industries such as banking, insurance, logistics, and networking. Gopi has successfully transitioned legacy systems to scalable cloud architectures, implemented CI/CD pipelines, and built high-performance, secure platforms. Known for combining hands-on development with architectural leadership, he drives innovation and reliability in complex, mission-critical systems.