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dasa_cypher

Abdullah M.

@dasa_cypher

AI Engineer, Published Researcher, YOLO, Computer Vision, Machine Learning

Pakistan
Inglese, Urdu
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I'm Abdullah — AI Engineer, published researcher (Sensors, MDPI), Kaggle Expert, and Roboflow Expert from Pakistan. I designed and published YOLO-OcuLite, a lightweight YOLO architecture for real-time medical diagnosis. My work is under review in Nature Communications Medicine and CMPB. I build across three areas: training-ready image annotation, custom YOLO and computer vision models, and production ML and RL pipelines in Python. Edge deployment on Jetson Nano and Raspberry Pi. 100K+ real annotated samples. 30+ international projects completed.... Continua a leggere

Competenze

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dasa_cypher
Abdullah M.
offline • 

Consulta i miei servizi

Deep learning
I will build yolo object detection and computer vision ai models in python
Machine learning
I will build machine learning models in python for prediction and classification

Portfolio

Esperienza lavorativa

AI Engineer | Computer Vision & YOLO Specialist

Dasa Cypher AI Solutions • Freelance

Jan 2022 - Present4 yrs 6 mos

AI Engineer specializing in YOLO object detection, computer vision, image annotation, and machine learning model development. I design and deploy real-time AI systems for industrial inspection, medical imaging, surveillance, automation, and smart applications. Key Achievements: • Developed custom YOLO object detection models with high mAP and real-time performance • Built scalable computer vision pipelines using Python and OpenCV • Delivered production-ready AI APIs for cloud and edge deployment • Structured AI training datasets (YOLO, COCO, Pascal VOC formats) • Optimized models for speed, accuracy, and lightweight deployment Focused on building production-ready, scalable AI solutions — not just demos.

AI Model Deployment & Automation Engineer

Cloud & Edge AI Solutions • Freelance

Sep 2024 - Jan 20261 yr 4 mos

Designed and deployed AI models for cloud, mobile, and edge devices. • Converted models to ONNX and TFLite • Built REST APIs for real-time inference • Deployed AI systems on AWS, Azure, and local servers • Implemented monitoring and performance tracking • Optimized inference for low-latency applications Specialized in real-time computer vision and production deployment.

Image Annotation & AI Training Data Specialist

AI Data & Automation Projects • Full time

May 2023 - Feb 20249 mos

Provided professional image annotation, data labeling, bounding box, polygon, segmentation, and keypoint annotation services for AI and machine learning projects. • Structured datasets in YOLO, COCO, Pascal VOC formats • Quality-controlled large-scale annotation projects • Prepared AI training data for object detection and segmentation • Used CVAT, Roboflow, and custom labeling pipelines • Delivered clean, production-ready datasets Improved model performance through accurate, consistent annotation workflows.