High-Precision
AI Pipelines.
End-to-end dataset engineering for computer vision — from raw image ingestion and CVAT annotation workflows to YOLO model training and Roboflow-managed pipeline quality gates. Consistently delivering above 98% annotation precision at scale.



Structuring data for
computer vision.
Hands-on experience evaluating and annotating complex AI datasets for computer vision pipelines. Working within CVAT and Roboflow workflows to produce precise, schema-consistent training data — bounding boxes, segmentation masks, and multi-class label hierarchies — directly consumed by YOLOv8 training runs. Emphasis on annotation accuracy, class balance, and dataset versioning hygiene.
View annotation projectsExecuting seamless
data migrations.
Designed and executed the extraction, transformation, and structured migration of static JSON record sets into live PostgreSQL databases — normalising schema, enforcing relational integrity constraints, and validating row-level fidelity post-migration. Built with repeatability and zero data loss as the non-negotiable primary constraint.
View migration scriptsLet's build something
worth scaling.
Open to collaborative projects, contract work, and opportunities at the intersection of data engineering, AI pipelines, and scalable full-stack architecture. Based in Colombo, LK — available globally.
