AI Data Training Specialist with a focus on Computer Vision and NLP annotation. I provide expert-level data labeling services across all modalities—including high-precision polygon masks, instance segmentation, and Named Entity Recognition (NER). By leveraging tools like Label Studio and Python, I deliver 99%+ accurate training data that ensures robust performance for machine learning models in real-world environments.…

Melvin Abraham

AI Data Training Specialist with a focus on Computer Vision and NLP annotation. I provide expert-level data labeling services across all modalities—including high-precision polygon masks, instance segmentation, and Named Entity Recognition (NER). By leveraging tools like Label Studio and Python, I deliver 99%+ accurate training data that ensures robust performance for machine learning models in real-world environments.…

Available to hire

AI Data Training Specialist with a focus on Computer Vision and NLP annotation. I provide expert-level data labeling services across all modalities—including high-precision polygon masks, instance segmentation, and Named Entity Recognition (NER). By leveraging tools like Label Studio and Python, I deliver 99%+ accurate training data that ensures robust performance for machine learning models in real-world environments.

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Language

English
Fluent
Yoruba
Fluent

Work Experience

Freelance AI Data Training Specialist at Self-employed / Freelance
April 1, 2026 - Present
Perform high-precision polygon annotation and instance segmentation for Autonomous Vehicle (AV) datasets; maintain 99%+ accuracy identifying and separating individual "Person," "Bike," and "Car" instances in complex urban scenes; expertly utilize Label Studio for multi-modal annotation workflows, including Image, Text, and Sentiment Analysis.
Administrative Virtual Assistant & Data Entry Specialist at Private Client / Freelance
February 1, 2026 - March 31, 2026
Managed high-volume B2B lead generation and data mining projects using Python and Microsoft Excel; conducted detailed LinkedIn research and data cleaning to ensure 100% accuracy for CRM system integration; developed end-to-end sales analyses using Tableau to visualize revenue and profit insights from raw data.
Freelance AI Data Training Specialist
April 1, 2026 - Present
Performed high-precision polygon annotation and instance segmentation for Autonomous Vehicle datasets; maintained 99%+ accuracy in identifying and separating individual 'Person', 'Bike', and 'Car' instances in complex urban scenes; expertly utilized Label Studio for multi-modal annotation workflows, including Image, Text, and Sentiment Analysis.
Administrative Virtual Assistant & Data Entry Specialist
February 1, 2026 - March 31, 2026
Managed high-volume B2B lead generation and data mining projects using Python and Microsoft Excel. Conducted detailed LinkedIn research and data cleaning to ensure 100% accuracy for CRM system integration. Developed end-to-end sales analysis reports using Tableau to visualize revenue and profit insights from raw data.

Education

Certificate at CipherSense × DataLens
April 1, 2026 - April 23, 2026
Certificate: Essentials of Data Labelling & Annotation for AI Development at CipherSense × Data Lens
April 1, 2026 - April 23, 2026

Qualifications

Advanced Data Cleaning Certification
November 12, 2025 - April 1, 2026
Top-Rated Data Specialist (Intern/Freelance Platform metrics)
January 16, 2026 - April 1, 2026

Industry Experience

Media & Entertainment, Software & Internet, Professional Services, Education, Computers & Electronics, Transportation & Logistics
    Multi-Modal Data Annotation & AI Training (Computer Vision & NLP)
    Executed high-precision data annotation projects using Label Studio to support the development of Computer Vision and NLP models. Key Contributions: Computer Vision (Polygon Segmentation): Applied advanced polygon masks for autonomous vehicle datasets, achieving pixel-perfect tracing of complex instances including pedestrians, cyclists, and vehicles. Object Detection: Utilized bounding boxes to accurately identify and classify traffic infrastructure, such as cars and signposts, across diverse urban perspectives. Named Entity Recognition (NER): Performed high-accuracy text labeling to categorize entities including Person, Location, Organization, and Time within various datasets. Sentiment Analysis: Classified large-scale customer feedback into Positive, Negative, and Neutral categories to train emotional intelligence in Large Language Models (LLMs). Dedicated to providing high-fidelity 'Ground Truth' data with a focus on 99%+ accuracy and strict adherence to complex labeling guidelines.…