Obinna Okoye
Director Machine Learning Engineer Data & Ai Consultant @Gravillace Data Solutions
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WORK HISTORY
Director Machine Learning Engineer Data & Ai Consultant @Gravillace Data Solutions
Leeds, GB
As Director of Gravillace Data Solutions, I lead the delivery of advanced AI and analytics solutions for businesses seeking to leverage data for smarter decision-making. My role combines machine learning engineering, software development, and cloud-native data solutions with business-focused problem solving.• Architect and deploy ML models (forecasting, NLP, recommendation systems) on AWS (including SageMaker, Lambda, and feature stores) for real-time and batch processing.• Build scalable data pipelines leveraging modern design patterns (streaming, APIs, data lakes).• Apply LLM frameworks (with RAG, observability and guardrails) to create intelligent assistants and automation solutions.• Develop BI dashboards and reporting systems using Power BI and SQL to bridge insights between technical and business stakeholders.• Apply software engineering best practices: CI/CD pipelines, testing frameworks, monitoring, and observability tools for production ML systems.• Mentor junior data scientists and engineers, providing guidance on ML ops, coding standards, and architecture patterns.• Deliver consulting engagements across sectors (finance, healthcare, retail), focusing on demand forecasting, predictive analytics, and automation.
EDUCATION
Federal University of Technology Owerri
Bachelor of Engineering (BEng), Materials and Metallurgical Engineering
University of South Wales
Postgraduate Degree, Applied Data Analytics and Artificial Intelligence
University of Bradford
Master of Science - MSc, Applied Artificial Intelligence and Data Analytics
SKILLS
ABOUT OBINNA OKOYE
I am a Machine Learning Engineer and Data Scientist with expertise in AI, NLP, forecasting, and ML Ops. Alongside my current role at Johnson & Johnson, I lead Gravillace Data Solutions, delivering scalable data and AI solutions to businesses. My experience spans AWS (SageMaker, Lambda, feature stores, Kubernetes), GCP, Azure Cloud, Python/SQL engineering, and building data products for batch and real-time applications. I have a strong foundation in software design, testing, and observability, and bring leadership through mentoring and architecting solutions that bridge business needs and cutting-edge technology.
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