
Lahiru
Engineering Robust Architectures with AI Integration
Kompetenzen

Meine Dienstleistungen

Arbeitserfahrung
Software Engineer
RUMEX • Vollzeit
Jun 2026 - Present • 2 mos
- Engineered a secure media delivery pipeline utilizing signed cookies and JWT authentication, strengthening non-DRM content protection while optimizing delivery speeds via Varnish Cache. - Implemented GeoIP-based access restrictions across the content library to strictly enforce regional licensing agreements and compliance. - Developed custom dashboards for the OTT platform's admin panel, integrating Google Analytics 4 (GA4) to deliver actionable insights into viewer engagement and platform performance
Software Engineer
Visionex Digital • Vollzeit
Mar 2025 - Mar 2026 • 1 yr
- Engineered the frontend architecture for a permission management system utilizing React, TypeScript, Tailwind CSS, and Shadcn UI, implementing Zustand for efficient global state management. - Architected and deployed RESTful APIs for calendar management and user activity logging using Java Spring Boot; structured as independent microservices using clean OOP principles to ensure high testability and maintainability. - Led the end-to-end development of an internal browser extension as Product Owner, directing a UI/UX designer and a developer. - Leveraged Azure OpenAI to conduct large-scale data extraction and thematic competitor analysis, utilizing the insights to directly inform architectural decisions and feature prioritization. - Designed the extension's backend architecture and implemented a secure middleware proxy to manage authentication between the client and core backend services. - Collaborated with QA to identify, debug, and resolve 20+ high-priority defects, actively participating in Agile sprint planning and proactively mitigating technical and performance risks
Data Scientist
iLabs • Vollzeit
Apr 2024 - Nov 2024 • 7 mos
- Developed automated Python pipelines to replace manual data cleaning workflows, successfully eliminating 10+ hours of manual processing time per month and significantly improving data reliability. - Collaborated with cross-functional engineering teams to conduct statistical analysis on machine learning model outputs, integrating findings into tuning pipelines to optimize model accuracy. - Engineered monitoring solutions to track data quality across multiple production workflows, proactively flagging anomalies to ensure high accuracy in downstream reporting