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Abdul Enterprise

Abdul Enterprise

LLM Evaluation and Monitoring Specialist (SilverBrain AI AG)

Nigeria flagLagos, Nigeria
Expert

Key Skills

Software

No software listed

Top Subject Matter

LLM Evaluation and Monitoring
Regulatory Compliance
Disaster Image Recognition and Classification

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

LLM Evaluation and Monitoring Specialist (SilverBrain AI AG). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and TensorFlow. Education includes Bachelor of Science, University of Lagos (2027) and Certificate, ALX Africa (2023). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Expert

Labeling Experience

AI Computer Vision Data Labeling Specialist (WaverX-Vision)

ImageClassification
Built and applied computer vision models to annotate and classify disaster-related images for automated recognition and reporting. Used TensorFlow, OpenVino, and OpenCV to label image datasets according to disaster intensity and type. Supported downstream AI-driven disaster recognition systems with well-organized, labeled training data. • Led labeling pipelines for thousands of disaster imagery samples. • Focused on classifying types and severity of disasters from visual content. • Enhanced dataset quality for model training and real-time inference. • Collaborated with emergency response domain experts to ensure labeling accuracy.

Built and applied computer vision models to annotate and classify disaster-related images for automated recognition and reporting. Used TensorFlow, OpenVino, and OpenCV to label image datasets according to disaster intensity and type. Supported downstream AI-driven disaster recognition systems with well-organized, labeled training data. • Led labeling pipelines for thousands of disaster imagery samples. • Focused on classifying types and severity of disasters from visual content. • Enhanced dataset quality for model training and real-time inference. • Collaborated with emergency response domain experts to ensure labeling accuracy.

2025 - 2026

LLM Evaluation and Monitoring Specialist (SilverBrain AI AG)

Text
Developed and implemented LLM evaluation protocols to assess AI model inference quality and compliance. Fine-tuned large language models and analyzed model outputs for enhanced automated classification and regulatory adherence. Designed monitoring pipelines to provide real-time feedback on model behavior and track performance trends. • Evaluated over 500,000 monthly model inference logs for quality and accuracy. • Utilized Python and Django to create compliance workflows for text-based chemical study data. • Used Grafana and Prometheus for AI model output monitoring and issue tracking. • Improved model classification metrics by 25% through precise labeling and evaluation.

Developed and implemented LLM evaluation protocols to assess AI model inference quality and compliance. Fine-tuned large language models and analyzed model outputs for enhanced automated classification and regulatory adherence. Designed monitoring pipelines to provide real-time feedback on model behavior and track performance trends. • Evaluated over 500,000 monthly model inference logs for quality and accuracy. • Utilized Python and Django to create compliance workflows for text-based chemical study data. • Used Grafana and Prometheus for AI model output monitoring and issue tracking. • Improved model classification metrics by 25% through precise labeling and evaluation.

2023 - 2024

Education

U

University of Lagos

Bachelor of Science, Applied Mathematics and Computer Science

Bachelor of Science
2022 - 2027
A

ALX Africa

Certificate, Software Engineering

Certificate
2021 - 2023

Work History

G

Go Digital Africa

Senior Software Engineer

Lagos
2025 - 2026
S

SilverBrain AI AG

Back-End Engineer

Lagos
2023 - 2024