s
slmaari

Samadhi

@slmaari
Sri Lanka
Sinhala, English
About me
I am a Software Engineering undergraduate at the University of Westminster and an AI Engineering professional. I specialize in bridging the gap between advanced Machine Learning and modern full-stack web architectures. Having executed production-ready R&D at Sri Lanka Telecom, I focus heavily on building scalable Next.js interfaces, robust backends (Flask/Spring Boot), and optimizing AI models to achieve sub-second processing speeds. Whether you need a high-converting web platform or seamless AI/IoT integration, I deliver high-performance, production-grade solutions. ... Read more

Skills

s
slmaari
Samadhi
Offline • 

See my services

Programming & Tech
I will build a full stack nextjs ai web app using python ml backend

Portfolio

Work experience

AI Engineering Intern at Sri Lanka Telecom

OtO • Full-time

Sep 2025 - Mar 20266 mos

Executed production-level Research and Development (R&D) within the core engineering team, specializing in Acoustic Intelligence, full-stack web applications, and model optimization. Key Deliverables & Technical Impact: • Developed and deployed a scalable Sinhala Speech-to-Text infrastructure utilizing a modern Next.js and Tailwind CSS frontend, backed by an optimized Python/Flask microservice architecture. • Conducted deep R&D on Acoustic Intelligence, Keyword Spotting (KWS), and Query-by-Example (QbE) frameworks using advanced neural network models like WavLM and HUBERT. • Engineered significant latency reductions by converting complex deep learning models into optimized ONNX runtimes, successfully achieving sub-second processing speeds for real-time production deployment. • Built clean, maintainable code architectures and collaborated on integrating machine learning pipelines with high-performance web interfaces.