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Schedule Interview NowMy name is Belleana Mesthrige Kamela L. and I have over 1 year of experience in the tech industry. I specialize in the following technologies: TensorFlow, JavaScript, Node.js, Machine Learning, Deep Learning, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master's degree. Some of the notable projects I've worked on include: Retail Shelf Product Annotation for SKU Detection (Roboflow), SMD Component Annotation on Printed Circuit Boards (PCB), Hard Disk Label Annotation for OCR Training using CVAT, Fish Eye Segmentation for Fresh Fish Identification using CVAT, Road Segmentation Using Labelbox Brush Tool. I am based in Divulapitiya, Sri Lanka. I've successfully completed 5 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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VisionEdge AI Solutions
Using Roboflow’s annotation interface, I labeled hundreds of retail shelf products to train SKU detection models. Each product was tagged with bounding boxes under the "object" class. The goal was to
Performed image annotation of SMD components on high-resolution PCB images using bounding boxes. Labeled electronic parts (e.g., resistors, capacitors, ICs) to support training a computer vision model
Annotated hard disk drive (HDD) label images using CVAT to support OCR model training for automatic data extraction. Each image was labeled with bounding boxes for 5 distinct components: QR: QR codes
Performed precise polygon segmentation of fish eyes in high-resolution images of freshly caught fish using CVAT. The objective was to help train a computer vision model for fish species identification
This project involved precise road segmentation in satellite images using Labelbox's brush tool. I manually annotated road networks within defined geographic areas, creating pixel-level masks for trai
Bachelor of Computer Science (BCompSc) in
2017-01-01-2021-01-01
Master's degree in
2023-01-01-2025-01-01