Muhammad Osaid

I am a results-driven Senior AI & Data Engineer with over 6 years of experience designing, developing, and deploying intelligent systems across computer vision, automation, and data engineering. My work consistently merges Artificial Intelligence with real-world operational needs transforming raw data into insights, automating manual workflows, and delivering scalable, high-impact solutions for businesses.

Currently, I lead AI and automation initiatives at Redline Intelligence, where I manage technical teams, architect data pipelines, and develop real-time analytics dashboards that enhance organizational efficiency and performance. My role spans across computer vision, NLP, data engineering, and workflow automation allowing me to bridge the gap between technical execution and strategic decision-making.

I have extensive hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, and specialize in building object detection systems using YOLO and OpenCV. My project portfolio includes industrial defect detection, medical imaging models, autonomous driving simulations, and biometric recognition systems.

Beyond AI modeling, I excel in data engineering and analytics, building ETL pipelines, SQL-based data infrastructures, and interactive dashboards in Power BI, Looker Studio, and Tableau. I work extensively with Pandas, NumPy, Google Apps Script, Make.com, Zapier, and automation tools that streamline operations and reduce manual workloads by up to 60%.

Previously at GRIP Technologies UK, I led a distributed analytics team and engineered automated reporting pipelines that significantly cut latency and improved forecasting accuracy. My experience also includes biomedical AI research at the Neuro Computational Lab (NEDUET), where I developed EEG-based deep learning models and IoT-AI integrations for cognitive rehabilitation.

I am passionate about building AI systems that solve real business problems, reduce inefficiencies, and unlock data-driven growth. Whether creating automation workflows, designing MLOps pipelines, or deploying real-time dashboards, I ensure solutions are scalable, maintainable, and aligned with business objectives.

With a strong foundation in AI, data engineering, and automation, I bring both strategic insight and hands-on technical excellence delivering solutions that are fast, efficient, and impactful.