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T

Thenni Arachchige Tharushi Nimesha

AI Trainer and Data Annotator – SMARTMUSA Research Project

Sri Lanka flagWeboda, Sri Lanka
$10.00/hrIntermediateData Annotation TechLabelboxCVAT

Key Skills

Software

Data Annotation TechData Annotation Tech
LabelboxLabelbox
CVATCVAT
DataloopDataloop
LabelImgLabelImg
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
RoboflowRoboflow
V7 LabsV7 Labs

Top Subject Matter

Agriculture—Banana Disease Detection
Agricultural Management Information Systems
Legal Services & Contract Review

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
SegmentationSegmentation
Object DetectionObject Detection
Text GenerationText Generation
Question AnsweringQuestion Answering
Fine-tuningFine-tuning
Text SummarizationText Summarization

Freelancer Overview

AI Specialist & IT Graduate with a focus on Mathematical Reasoning and Model Evaluation. Lead Researcher for the SMARTMUSA project, specializing in deep learning (CNNs, TensorFlow) for agricultural diagnostics. Exceptional background in Logic and Combined Mathematics (GCE A/L Grade B), providing high-quality rationales for complex AI reasoning tasks. Proficient in Full-Stack development (Laravel, React, Python) and technical code review. Experienced in high-precision Data Annotation for Image, Table, and Text classification, ensuring 98%+ accuracy in quality-focused workflows.

IntermediateEnglish

Labeling Experience

MIS Developer – Ministry of Agriculture (SARP)

Classification
In my MIS Developer role, I managed data entry, cleaning, validation, and quality control processes, directly relevant to AI data labeling workflows. I was responsible for maintaining and verifying the accuracy and integrity of project databases. My contributions included supporting the preparation of structured datasets suitable for AI applications. • Performed database validation and cleaning using MySQL • Verified data outputs for monitoring and decision-making • Coordinated with subject specialists for precise data collection • Maintained compliance documentation and quality control records

In my MIS Developer role, I managed data entry, cleaning, validation, and quality control processes, directly relevant to AI data labeling workflows. I was responsible for maintaining and verifying the accuracy and integrity of project databases. My contributions included supporting the preparation of structured datasets suitable for AI applications. • Performed database validation and cleaning using MySQL • Verified data outputs for monitoring and decision-making • Coordinated with subject specialists for precise data collection • Maintained compliance documentation and quality control records

2024 - 2025

AI Trainer and Data Annotator – SMARTMUSA Research Project

ImageClassification
As an AI trainer and data annotator, I participated in the collection, validation, and annotation of agricultural image datasets focused on banana leaf disease detection. My work included labeling and curating high-quality training data using CNN architectures such as MobileNetV2, ResNet50, and VGG16. I carried out thorough benchmarking and accuracy optimization for the deployed models in the SMARTMUSA project. • Labeled images depicting banana leaf diseases for supervised model training • Ensured dataset integrity through validation and quality control • Supported model evaluation through annotated benchmarking datasets • Utilized TensorFlow and Python in model training and data preprocessing

As an AI trainer and data annotator, I participated in the collection, validation, and annotation of agricultural image datasets focused on banana leaf disease detection. My work included labeling and curating high-quality training data using CNN architectures such as MobileNetV2, ResNet50, and VGG16. I carried out thorough benchmarking and accuracy optimization for the deployed models in the SMARTMUSA project. • Labeled images depicting banana leaf diseases for supervised model training • Ensured dataset integrity through validation and quality control • Supported model evaluation through annotated benchmarking datasets • Utilized TensorFlow and Python in model training and data preprocessing

2024 - 2025

Education

S

Sri Lanka Institute of Information Technology

Bachelor of Science, Information Technology

Bachelor of Science
2021 - 2025
V

Viharamahadevi Balika Vidyalaya - Kiribathgoda

GCE Advanced Level, Physical Sciences

GCE Advanced Level
2019 - 2019

Work History

D

Devceylon Corporation

Full-Stack Web Developer

Weboda
2025 - Present
M

Ministry Of Agriculture

MIS Developer

Colombo
2024 - 2025