• Engineered a React/Redux and TypeScript-based image annotation tool that increased image classification accuracy and speed by 300%• Developed a desktop server application using Electron.js, React, Material UI, Django, SQLite to facilitate uploading medical images from hospital servers to the application server• Engineered a deep learning model for classifying medical images, enhancing capabilities in advanced image analysis significantly.• Collaborated with cross-functional teams, including data scientists and medical professionals, to understand project requirements

• Successfully developed and deployed an innovative solution tailored to the unique needs of gig economy workers.• Established a robust feedback loop with users, resulting in continuous product improvements and higher user satisfaction rates.

• Developed and wrote coding prompts to train AI models, ensuring their accuracy and effectiveness. • reviewed existing code to verify the precision of prompts and enhance the training process for AI systems.

• Led the design, implementation and deployment of the interfaces for the website, using Next.js, Tailwind CSS and AWS Amplify• Integrated NotificationAPI to send email notifications to users joining the waitlist• Led the launch and deployment of the company's dashboard using React, PostgreSQL, Docker, AWS EC2, AWS DynamoDB and AWS Route53 that authors and reviewers can interact easily• Implemented A/B testing on different website components to see how users respond in various situations

• Created and designed mobile responsive UI's using React and Adobe XD that boosted mobile subscription rates by 50%• Increased collaborative subscriptions by 25% through the implementation of a new team subscription pathway• Improved application validation and operational efficiency with adding automated Selenium tests written in Java and Jest unit tests• Designed and implemented a tailored landing page for subscribers to enhance their experience by customizing features according to their subscription type