Work Experience

Collaborating closely with a cross-functional team to architect and develop a comprehensive full-stack web application utilizing Angular framework. Playing a key role in making critical architectural decisions and implementation strategies. Taking initiative in coordinating development tasks and providing technical direction within an agile, feedback-driven development environment. Contributing to code reviews and ensuring best practices throughout the development lifecycle.

Engineering intelligent systems capable of autonomously navigating and interacting with web environments through the integration of machine learning algorithms and browser automation technologies. Leading comprehensive AI model evaluations focused on visual programming tasks, creating sophisticated evaluation rubrics and prompts to assess reasoning capabilities, output quality, and accuracy metrics. Conducting thorough peer review processes and providing detailed feedback on annotations to maintain high data quality standards and ensure consistent annotation alignment across the development team.

Contributed to full-stack development by implementing new features and resolving technical issues across the application stack, working with RESTful APIs built using Java and Spring Boot on the backend, while enhancing frontend user experience through Vue.js component modifications and responsive design improvements. Gained hands-on experience with relational database management including MySQL and PostgreSQL, designing database tables and maintaining schema structures. Actively participated in collaborative team meetings and code review sessions to align development efforts with project objectives and maintain code quality standards.

Conducted comprehensive review and annotation of programming code datasets to facilitate training of AI models for software development tasks. Ensured high accuracy in model outputs through detailed feedback on code syntax, logical structure, and programming best practices. Actively contributed to model evaluation processes and fine-tuning procedures to enhance the AI's coding and problem-solving capabilities. Demonstrated proficiency across multiple programming languages including Python, Java, and C++, while performing in-depth code analysis and quality assessment.