Professional Overview
A motivated BSc (Hons) Computer Science graduate specializing in Artificial Intelligence, with strong skills in building and training machine learning models, data preprocessing, evaluation, and deployment using Python, AWS, and frameworks such as PyTorch and TensorFlow. https://www.linkedin.com/in/abu-hurrairah/ https://github.com/Abuhurrairah
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Worked on computer vision and AI model development tasks
- training YOLOv5 and YOLOv8 for multi-category object detection.
- Integrated DeepSort with YOLOv8 to track motion and provide collision warnings
- Also modified LabelImg software source file according to the company’s project
Key Achievements / KPIs
- Built and deployed production level object detection products
- used for multiple customers including construction companies
Education
Field of Study: Artificial Intelligence
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
