Results-driven Software Engineer (3+ years) focused on building scalable, reliable products across full-stack, microservices, and DevOps, with strong exposure to AI/ML and NLP-driven workflows. I’ve delivered measurable impact by engineering CI/CD pipelines (Docker, GitHub Actions, Jenkins), improving deployment reliability, and building modular systems using React/Next.js, Node.js, TypeScript, and Python.
I enjoy working end-to-end: system design → implementation → automated testing → CI/CD → monitoring and iteration. I’m currently pursuing an MSc in Artificial Intelligence and Human Factors at the University of Coventry (UK), and I’m passionate about applying Machine Learning, Deep Learning, and NLP to build practical tools that improve productivity and user experience.
Years of
Faster
Platform
Languages: TypeScript, JavaScript, Python
90%
Frontend: ReactJS, NextJS, UI Libraries
90%
Backend: NodeJS, ExpressJS, NestJS, REST APIs
85%
Microservices: Architecture, Modular Systems
85%
DevOps / CI-CD: Docker, GitHub Actions, Jenkins
90%
Cloud & Orchestration: AWS/Azure, Kubernetes
80%
AI / ML / Deep Learning: ML Pipelines, NLP, Model Integration
75%
Data: SQL, NoSQL, Analytics Dashboards
85%
Source Control & PM: GitHub/GitLab, Azure Repos, Azure Boards, Redmine, Bitrix
90%
CueCard AI PVT Ltd | San Francisco, CA, USA Jan 2025 – Mar 2025
Bconic PVT Ltd | Toronto, ON, Canada Aug 2024 – Dec 2024
Level 33 Solutions | Brasília, DF Jun 2023 – Jul 2024
OREL IT (AI Solutions) | Colombo, Sri Lanka Apr 2022 – Feb 2024
Design and build modern web products using React/Next.js and Node/Nest/Express, with scalable APIs, authentication, dashboards, and clean architecture.
Dockerized deployments, declarative pipelines, and automation using GitHub Actions and Jenkins. Improve reliability, reduce deployment time, and add monitoring loops.
Integrate ML/NLP into real products: content insights, recommendation workflows, AI-assisted automation, and model-powered features using Python services and APIs.
Microservices, API integrations, and cloud deployment practices using AWS/Azure and Kubernetes-ready patterns for scaling and maintainability.
Sri Lanka Institute of Information Technology (SLIIT), Sri Lanka
2020 – 2023International Research Journal of Innovations in Engineering & Technology (IRJIET)
Published: November 28, 2023
ResearchGate-View Publication IRJIET-View Publication© All Rights Reserved. Designed by Manoharan Thushantha Sanju