2022 - 2026
BSc Eng (Hons), Electrical and Electronic Engineering
SLIIT
Engineering background with work across automation, embedded systems, machine learning, computer vision, and sensor-based projects.
About me
Machine learning and engineering projects.
Machine learning focused background in engineering, computer science, and mathematics. Experienced in building ML workflows from data preparation and model development to evaluation and deployment-focused implementation. Interested in intelligent, data-driven solutions for engineering and technology problems.
My projects sit across machine learning, software, embedded systems, and engineering prototypes. I have worked on model training, evaluation, Raspberry Pi deployment, computer vision, audio classification, IMU data, backend APIs, dashboards, and automation prototypes.
I am interested in using machine learning and engineering to solve practical problems. I have also worked with lightweight model deployment on Raspberry Pi where it fit the project.
Applied ML
TensorFlow/KerasPyTorchscikit-learnXGBoostLightGBMOptunaSpecAugment
Embedded and deployment
Raspberry PiTensorFlow LiteONNX RuntimeNCNNOpenCVMediaPipereal-time inference
Systems
ESP32ArduinoMQTTSA7680C LTEsensor integrationGo APIsPostgreSQL
Software
PythonTypeScriptReactSpring BootJavaC/C++C#SQL
Education
Education
Engineering and physical sciences background.
2022-2026
BSc Physical Sciences - Computer Science, Pure Mathematics, and Applied Mathematics
University of Kelaniya
Computer science and double mathematics background supporting programming, algorithms, modelling, and machine learning foundations.
Certificate completed
Chartered Global Management Accountancy
CIMA
Certificate in Business Accounting completed. Reading for Dip MA, Operational Level.