Enhancing Machines to See and Understand

With hands-on experience in computer vision tasks, I’ve worked on image annotation, object detection, and vision-based dataset preparation using Python and industry tools. I specialize in converting visual data into meaningful insights that fuel AI systems.

Computer Vision for Real-World AI Applications

My work in computer vision spans from annotating large image datasets for ML training to building models that interpret and classify visual inputs. As part of remote data annotation roles, I’ve contributed to multilingual vision-based datasets used in production AI systems.

• Experience in image annotation, labeling, and quality control.
• Worked on computer vision datasets for e-commerce, healthcare, and general object detection.
• Skilled with Python libraries and tools used in computer vision and data preprocessing.

Whether it’s identifying key objects or building foundations for image recognition systems, I aim to build reliable, precise, and scalable vision-based components.

I’m passionate about enabling machines to interpret the world visually — helping bridge the gap between human perception and artificial intelligence.