Arnav Upadhyay

Key Skills

Software

CVAT

Top Subject Matter

Artificial Intelligence/Computer Vision

Top Data Types

Image

Video

3D Sensor

Top Task Types

Object Detection

Bounding Box

Segmentation

Classification

Point Key Point

Polygon

Freelancer Overview

Embedded AI Intern—Data Annotation and Model Training. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT. Education includes Bachelor of Technology, Manipal Institute of Technology (2022). AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

Embedded AI Intern—Data Annotation and Model Training

CVATImageObject Detection

I contributed to the fine-tuning of multiple YOLO models and created synthetic datasets for AI development. I was responsible for generating and annotating image data using modern MLOps pipelines, incorporating auto-annotation with advanced tools. My work focused on improving pose detection algorithms for vision systems and optimizing data workflows for accuracy and speed. • Developed synthetic datasets using Blender and camera systems. • Employed CVAT with auto-annotation as part of a ClearML-driven MLOps pipeline. • Focused on object detection and pose estimation in computer vision projects. • Enhanced dataset quality for fine-tuning YOLO and related models.

I contributed to the fine-tuning of multiple YOLO models and created synthetic datasets for AI development. I was responsible for generating and annotating image data using modern MLOps pipelines, incorporating auto-annotation with advanced tools. My work focused on improving pose detection algorithms for vision systems and optimizing data workflows for accuracy and speed. • Developed synthetic datasets using Blender and camera systems. • Employed CVAT with auto-annotation as part of a ClearML-driven MLOps pipeline. • Focused on object detection and pose estimation in computer vision projects. • Enhanced dataset quality for fine-tuning YOLO and related models.

2025 - Present

Education

Work History