Wasee A.

Key Skills

Software

Roboflow

Other

Top Subject Matter

Computer Vision (proctoring, deepfake detection, AI verification)

Entomology (mosquito larvae classification via computer vision)

Computer Vision (object detection, CVPR research)

Top Data Types

Image

Top Task Types

Object Detection

Classification

Freelancer Overview

Image Annotation and Object Detection Specialist (AI Proctoring/Fact Verification). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Roboflow and Other. Education includes Bachelor of Science, American International University-Bangladesh (2025). AI-training focus includes data types such as Image and labeling workflows including Object Detection and Classification.

Labeling Experience

Image Annotation and Object Detection Specialist (AI Proctoring/Fact Verification)

RoboflowImageObject Detection

Served as a project lead and performed extensive image annotation for computer vision model development. Labeled datasets for YOLOv11 object detection and gaze tracking using MediaPipe for fraud detection in proctoring suites. Managed dataset curation involving annotated images for deepfake detection and multimodal comparison. • Labeled and annotated images for use in YOLOv11-based AI Proctoring Suite. • Curated and compared synthetic and authentic imagery datasets for deepfake forensics and fact verification. • Integrated annotated data in object detection pipelines and benchmarking. • Applied object detection and gaze tracking labels with efficiency and accuracy.

2026 - Present

Image Annotation for Scientific Transfer Learning (Research Intern)

OtherImageClassification

Participated in research to annotate and classify mosquito larvae imagery using transfer learning. Labeled image data to enable accurate classification of different larval types for scientific publication. Ensured high-quality training data for benchmarking machine learning models. • Annotated and classified mosquito larvae for the IEEE QPAIN 2026 project. • Enhanced label consistency for transfer learning applications. • Collaborated on data curation for robust larvae image datasets. • Supported model accuracy improvements by supplying well-labeled data.

2025 - 2026

Image Annotation and Object Detection Contributor (CVPR Research)

RoboflowImageObject Detection

Performed image annotation for object detection tasks as part of CVPR-related research projects. Used annotation tools and Roboflow to create training data for neural network benchmarking. Ensured image datasets were accurately labeled for model evaluation. • Labeled images for object detection using bounding boxes and polygons. • Contributed to neural network benchmarking and CVPR workflows. • Used Roboflow and related annotation tools to create research-grade datasets. • Improved data quality for evaluation and efficiency studies.

2023 - 2025

Education

Work History