Ashwin V.

Key Skills

Software

LabelImg

Labelbox

Roboflow

CVAT

Top Subject Matter

Healthcare – Medical Records & Patient Data

Autonomous Systems / Computer Vision – Object Detection & Surveillance

Top Data Types

Image

Text

Computer Code Programming

Top Task Types

Bounding Box

Segmentation

Entity (NER) Classification

Object Detection

RLHF

Freelancer Overview

Third-year Electronics and Computer Science student with hands-on experience in AI training pipelines, data preprocessing, and model optimization for computer vision and speech systems. Built high-precision models (YOLOv8, UNet) and improved performance through structured data cleaning, augmentation, and validation (e.g., +15% mAP). Experienced in automation and large-scale data extraction, achieving 94% accuracy during my internship. Strong in analytical thinking, attention to detail, and dataset refinement, with practical exposure to annotation workflows and model feedback loops.

Labeling Experience

Medical Image Annotation & Dataset Engineering

ImagePolygon

Built a structured annotation pipeline for thermal grayscale medical images, integrating ROI extraction, segmentation (UNet), and noise filtering to improve label consistency and downstream model accuracy.

2025 - 2025

Education

Work History