Eric LAI Yat Lik

- Lead our clients' and our own journey in integrating artificial intelligence as a core driver of their business and technology strategies. - Architect and oversee the end-to-end development of AI/ML systems, from data acquisition and model training to deployment, monitoring, and MLOps. - Evaluate and select appropriate AI/ML platforms, tools, and frameworks, ensuring optimal performance, cost-efficiency, and integration with existing IT infrastructure - Demonstrate clear business value and ROI for AI investments, proving the tangible benefits of AI transformation.

- Architect cloud-enabled real-time web, mobile platforms, back-end automated processes and open APIs, to drive business development and retention to customer-focused success. - Lead the development of NLP platforms, computer vision solutions, predictive analytics engines that deliver measurable impact. - Expertise lies in MLOps, cloud AI infrastructure, data strategy, algorithm optimization. - Experience with agile methodology leading a scrum team of software engineers, offshore development resources and external resources - Ability to apply modern continuous delivery and DevOps practice with Git, Jenkins, Sonar, Docker, CI/CD, Splunk, and JIRA. - Conduct design / code review to ensure quality of software deliverable. - Communicate with all levels and outside parties in a non-technical language. Self-motivated, Adventurous, Creative and Open-minded

- Led a team of 20+ professionals from Infosys, including BA, Developers, QA, and DevOps, in delivering a cloud-native microservices architecture for a large-scale e-commerce platform using Java, WebLogic, Spring Boot, Angular, and Oracle. - Mentored junior engineers, fostering their growth with Git, Maven, Swagger, Jenkins, JUnit, JMeter, Sonarqube, and jForg. - Implemented DevOps practices and automation tools to streamline software delivery, utilizing monitoring and observability tools such as Splunk, New Relic, and Dynatrace. - Established software development standards and best practices using Scrum methodologies in Jira. - Ensured application performance and functionality through stress testing (JMeter) and automated testing (Selenium).

- Software Architecture and Design - Cloud Computing (AWS, Azure, GCP) - Microservices and RESTful APIs - Agile and DevSecOps Practices - Artificial Intelligence (AI) and Machine Learning (ML) - DevOps and Automation Tools - Software Development Standards and Best Practices - Mentoring and Team Leadership

- Preparation of Detailed Technical Design Documents and Impact Analysis. - Development of UI Applications, Database, Reports, Coding, Testing (JUnit), Code Reviewing, Bug Fixing. - Implementation of backend modules using Java and web Services (RestFul ). - Enforce TDD (Test Driven Development) methodology. - Designed and developed modules and delivered successfully with technologies like Web Service, spring, JPA. - Developed maven script to build a war and to deploy on web logic server. - Developed ORM entities and developed CRUD operations with JPA, Hibernate and Spring JDBC. - Developed JUnit test cases. - Tested performance of system with JProfiler and Jmeter - Taken care of code review and status call. - Worked with clear case, perforce, SVN, CVS for version control.