
Abdullah M.
AI and ML Engineer, YOLO and Computer Vision Expert, Published Researcher
Skills

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Portfolio
Work experience
Founder and AI/ML Engineer
Developers Research • Self-employed
Apr 2026 - Present • 4 mos
Architected Gigora, an AI SaaS platform integrating machine learning and generative AI for freelancer tools. • Built ML-driven Profile Analyzer and Gig SEO Optimizer using Python and RAG pipelines • Integrated Claude and Gemini APIs via FastAPI, React, and Supabase • Set up CI/CD pipelines with deployment on AWS and Azure
Research Assistant, AI and Embedded Systems Lab
Engineering Leadership • Full-time
Feb 2023 - Present • 3 yrs 6 mos
Contributed to lightweight deep learning and medical AI research, developing clinically validated YOLO diagnostic models. • Designed lightweight YOLO diagnostic models (YOLO-OcuLite, YOLO-CEGNet, YOLO-ASDLite) for real-time clinical deployment • Built an IoT and LightGBM-based system for real-time water quality monitoring across 14 fish species and 10 ponds • Applied Grad-CAM, LIME, and SHAP explainability techniques, validated by clinical experts • Curated and structured research datasets exceeding 100,000 annotated samples • Collaborated internationally with University of Shanghai for Science and Technology (USST)
AI Engineer | Computer Vision & YOLO Specialist
Freelancer.com • Freelance
Dec 2021 - Present • 4 yrs 8 mos
Specializing in YOLO object detection, computer vision, machine learning, and reinforcement learning for real-time diagnostics, industrial inspection, surveillance, and automation. • Built custom YOLOv5/v8/v11 object detection models with high mAP and real-time inference • Built ML models for classification, regression, and forecasting using Scikit-learn, XGBoost, and LightGBM • Developed RL agents (PPO, DQN, SAC) using Stable Baselines3 for robotics and automation tasks • Structured training datasets in YOLO, COCO, and Pascal VOC formats • Optimized models for speed, accuracy, and lightweight deployment