Aachintya

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Evaluation Rating

Data Collection

Freelancer Overview

I am a Computer Science and Engineering student with hands-on experience in deep learning, data pipelines, and real-time AI solutions. My work on projects like DenoiseX, a low-light image enhancement system, involved building and augmenting large datasets, designing robust data pipelines, and training neural networks using paired image data. I am skilled in Python, C++, and JavaScript, and have deployed AI models for real-time inference. My technical background includes experience with tools like Docker, Git, and Streamlit, and I have a strong grasp of data structures and algorithms. I am passionate about developing high-quality training data and annotation processes to support the advancement of computer vision and AI systems.

Labeling Experience

Low-Light Image Denoising Annotation & Labeling

CVATImageEvaluation RatingData Collection

Worked on the DenoiseX project, which focused on reducing noise and improving low-light images. My responsibilities included organizing and labeling a large dataset of low-light and noisy images. I performed pixel-level noise region annotations, validated and refined segmentation masks, and ensured annotation consistency to support deep learning model training. I also implemented quality checks and review cycles for annotations to keep the dataset accurate.

Worked on the DenoiseX project, which focused on reducing noise and improving low-light images. My responsibilities included organizing and labeling a large dataset of low-light and noisy images. I performed pixel-level noise region annotations, validated and refined segmentation masks, and ensured annotation consistency to support deep learning model training. I also implemented quality checks and review cycles for annotations to keep the dataset accurate.

2025 - 2025

Education

Work History