Java Software Developer
Current• Authored and implemented integrations for various APIs and tools to optimize data processing workflows, ensuring accurate execution of annotation tasks.• Collaborated with cross-functional teams to design and implement AI-driven solutions that meet business and regulatory requirements in machine learning and data labeling.• Evaluated and improved the quality of AI models by performing thorough code reviews and ensuring alignment with industry standards and best practices.• Executed coding solutions to address complex data labeling challenges, delivering efficient and scalable systems for high-volume data annotation.• Designed and implemented Java-based APIs to integrate various tools and enhance the functionality of large language models, ensuring optimal performance in handling user prompts.• Crafted and executed rigorous test cases to ensure the accuracy and reliability of AI-generated data, optimizing model performance and training outcomes.• Orchestrated enterprise-level AI solutions within a microservices architecture, leveraging design patterns and Agile/Scrum methodologies to enhance system efficiency and scalability.• Participated in all phases of the project lifecycle, including requirements gathering, analysis, design, development, and testing, ensuring timely delivery of machine learning data solutions.• Engaged with business stakeholders to gather insights and develop customized AI and data annotation solutions that meet client-specific needs.• Leveraged Python and other programming languages to build and optimize AI model pipelines, ensuring data integrity and consistency across platforms.• Carried out performance testing and applied optimizations to ensure the high availability and scalability of data annotation services.• Supervised project workflows and tracked progress using Jira, adhering to Agile methodologies to ensure timely delivery of AI solutions and data labeling services.
