- Improved the model performance by fine-tuning and introducing new optimizations in the model training and inference process.- Deployed the Monkeypox model using Flask API in AWS EC2 instance.- Developed an AI-server for STD scan flow using Flask API and deployed it using Elastic Beanstalk.- Created a CI/CD pipeline with GitHub by utilizing the AWS CodePipeline.- Designed and developed a STD specialize chatbot for Health using GPT3.5 model and Flask REST… Show more - Improved the model performance by fine-tuning and introducing new optimizations in the model training and inference process.- Deployed the Monkeypox model using Flask API in AWS EC2 instance.- Developed an AI-server for STD scan flow using Flask API and deployed it using Elastic Beanstalk.- Created a CI/CD pipeline with GitHub by utilizing the AWS CodePipeline.- Designed and developed a STD specialize chatbot for Health using GPT3.5 model and Flask REST API with Next.js frontend.- Documented the deployment process and provided clear instructions for future maintenance and updates of the system by utilizing notion. Show less

- Researched and experimented with state-of-the-art computer vision algorithms for detecting male STD cases and Monkeypox cases.- Designed and developed the computer vision model based on CNN to detect visually recognizable male STD cases with 91% overall accuracy.- Designed and developed the computer vision model by transfer learning to classify monkeypox disease cases with 95% accuracy.- Conducted data versioning and model versioning for different… Show more - Researched and experimented with state-of-the-art computer vision algorithms for detecting male STD cases and Monkeypox cases.- Designed and developed the computer vision model based on CNN to detect visually recognizable male STD cases with 91% overall accuracy.- Designed and developed the computer vision model by transfer learning to classify monkeypox disease cases with 95% accuracy.- Conducted data versioning and model versioning for different experiments.- Developed algorithms to conduct micro-level analysis on experimental results and computer vision model explainability(XAI). Show less

- Completed a eight-month internship as a mobile application developer (project role).- Designed and developed two enterprise level mobile application projects,Effi and iSponsor.- Assisted in development of the front end of a mobile applications for iOS/Android using the Flutter framework.- worked with Google Firebase to design a notification system to notify mobile users of important messages.- Utilized Android Studio as a development environment in order to… Show more - Completed a eight-month internship as a mobile application developer (project role).- Designed and developed two enterprise level mobile application projects,Effi and iSponsor.- Assisted in development of the front end of a mobile applications for iOS/Android using the Flutter framework.- worked with Google Firebase to design a notification system to notify mobile users of important messages.- Utilized Android Studio as a development environment in order to develop ,debug and visualize the application in both iOS and Android.- Technology exposure: Flutter, SonarQube, Firebase, Sentry Show less

AIESEC in University of Moratuwa

AIESEC in University of Moratuwa