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Amit Manvi

@amitmanvi

I deliver high-accuracy AI training data for computer vision and NLP.

India
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What I'm looking for

I'm seeking a Data Annotation or Cloud Support role where I can apply high-accuracy QA, troubleshooting, annotation-guideline compliance, and AWS cloud fundamentals to support reliable AI/ML datasets or technical support operations.

At the Center of Excellence in Visual Intelligence, I annotate and validate large-scale text, image, and 3D point cloud datasets for AI/ML development, maintaining 90–95% accuracy against ground-truth standards.

I work with CVAT, Label Studio, Atlas, and Mindkosh AI on semantic segmentation, bounding boxes, object detection, text detection, intent classification, content labeling, JSON data creation, and search-based data curation. I also conduct multilingual validation and QA across Spanish, Italian, and Polish datasets to improve labeling consistency and reliability.

Previously at E-ARTKEY Innovation, I used Python, OpenCV, and PySimpleGUI to build image-annotation and object-measurement workflows for PCB assembly images. I bring a troubleshooting mindset, strong process compliance, and AWS cloud fundamentals to data annotation or cloud support work.

Experience

Work history, roles, and key accomplishments

CI
Current

Data Annotator

Center of Excellence in Visual Intelligence

Jan 2025 - Present (1 year 7 months)

Annotate and validate large-scale text, image, and 3D point cloud datasets using CVAT, Label Studio, Atlas, and Mindkosh AI, consistently maintaining 90-95% accuracy against ground truth standards. Perform semantic segmentation, bounding box annotation, object detection, and text detection in strict accordance with project-specific annotation guidelines.

Education

Degrees, certifications, and relevant coursework

KLE Technological University logoKU

KLE Technological University

Bachelor of Engineering, Computer Science and Engineering

Pursued a Bachelor's of Engineering in Computer Science and Engineering.

Tech stack

Software and tools used professionally

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