Engineered full-stack project management features with a React/TypeScript frontend and Flask backend deployed on an AWS EC2 instance, including canvas-based image annotation, a comprehensive measurement toolkit, and PostgreSQL database integration

Implemented a comprehensive token-based authentication workflow with session management that streamlines user access control and prevents concurrent logins

Implemented full-stack project management features—including secure deletion, renaming, and real-time sync, leveraging a Flask backend and PostgreSQL database

Built session-based authentication and automated image measurement tools, streamlining user access control and image-based analysis workflows

Integrated the chatbot with its corresponding web application using RESTful API and actions servers improving real-time communication responsiveness and enhancing user experience

Improved performance of the NLP model by extracting keywords from training phrases, collecting additional data, and reconfiguring model pipeline

Automated generation of weekly keyword master sheet summaries using Python, compiling, cleaning, and rearranging data from Google Search Console, Google Analytics, and WordPress

Configured automation using Google Cloud Platform Cloud Functions, leveraging serverless architecture to host and schedule scripts on a weekly basis

Trained and optimized Keras neural networks to predict mature egg count and classify patients into two groups, improving recall by 80% with oversampling while maintaining overall accuracy

Hosted a Flask web application utilizing AWS Lambda for serverless deployment enabling scalability and increasing cost efficiency

Containerized the web application and its dependencies using Docker