Hi, my name is
Nethma De Silva

AI-powered career development platform designed to help Computer Science/Software engineering professionals improve their job prospects through personalized guidance and AI-driven features.

Built comprehensive features including resume optimization, interview preparation, projects evaluation, learning pathways, skill benchmarking, gap analysis, and role transitioning guidance.

Developed a scalable microservices architecture using Next.js & TypeScript frontend, FastAPI & MongoDB backend, integrated with AI APIs and CrewAI for modular AI agents.

Secured funding through the Ignite fund, validating the platform's potential to enhance job application success rates through ATS optimization and personalized career recommendations.

Led a team of 5 towards the development of a wildlife conservation and social media app for Sri Lanka using Flutter, NodeJS, ExpressJS and MongoDB with features like species identification, recent animal sightings, and wildlife crime reporting.

Achieved 90% accuracy in wildlife species identification using a TensorFlow model, containerized with Docker, managed with Kubernetes, and deployed using Google Cloud Run for scalable and cost-efficient inference.

Engaged 25+ beta users and deployed the app for test users via Google Play Store with an automated CI/CD pipeline.

Co-Founded a mobile application which simplifies event creation and coordination for users using Flutter.

Ensured secure and efficient data processing by developing a backend system using Spring Boot, OAuth to handle authentication with user sessions, profiles, friend lists, and event scheduling.

Built a full-stack travel blog application following the MVC pattern, enabling secure user authentication, post creation, comments, likes/dislikes, and personalized user feeds.

Designed a polyglot microservice architecture integrating a Node.js (Express) main app with a Flask-based internal API that securely fetches country metadata (flags, capitals, currencies) from RestCountries.

Developed the microservice with secure API key management, usage tracking, and input validation; persisted data using SQLite with SQLAlchemy (3NF schema).

Implemented JWT-based auth with bcrypt hashing, Axios-based internal API communication, and RESTful endpoint design.

Deployed multi-service system using Docker Compose to orchestrate isolated containers for backend and microservice layers.