John Edoh Onuh
Co-founder & Chief Technology Officer (Data Engineering) @Eagleman Integrated Services Ltd
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WORK HISTORY
Co-founder & Chief Technology Officer (Data Engineering) @Eagleman Integrated Services Ltd
NG
As Co-founder, I defined the company’s technical vision and engineered the proprietary data platforms that underpin our financial services product.Strategic Leadership : Built the engineering function from the ground up, recruiting and training cross-functional teams. Established the company’s data governance frameworks, which improved downstream data reliability by 40% and embedded a culture of technical excellence.Commercial Impact : Spearheaded a strategic digital transformation by migrating legacy infrastructure to Microsoft Azure. This architectural overhaul reduced cloud operating costs (OPEX) by 40%, directly improving the company\'s bottom line.Product Innovation : Architected and deployed a proprietary, Python-based anomaly detection engine. By applying machine learning to real-time financial transactions, I successfully reduced fraud occurrences by 25%, securing client assets and establishing a unique competitive advantage.Technical Scale & Resilience: Designed a high-availability Snowflake and Spark data ecosystem capable of handling massive financial volumes with 99.9% uptime. Implemented SRE best practices and CI/CD automation, reducing release cycles by 30% to accelerate feature delivery.
EDUCATION
University of Jos
Physics
University of Sunderland
Master of Science - MS
ABOUT JOHN EDOH ONUH
I am a Technical Leader and Data Scientist who bridges the gap between advanced research and commercial application. I combine executive vision with deep hands-on engineering in Azure, Big Data, and Physics-Informed Machine Learning.Commercial Impact & Leadership:As Co-founder, I led the technical strategy that scaled Eagleman into a fully operational fintech provider.Innovation: Designed proprietary anomaly detection algorithms that reduced financial fraud losses by 25%.Strategy: Led a cloud transformation initiative (Azure/Snowflake) that optimized infrastructure and reduced operational costs by 40%.Execution: Built and trained cross-functional engineering teams, establishing a culture of Site Reliability Engineering (SRE).Thought Leadership & Research:I actively contribute to the advancement of the field through research into Quantum AI and Physics-Informed Neural Networks (PINNs).Latest Publication: A Comparative Analysis of Adaptive and Scheduled Dynamic Loss Weighting Strategies in Quantum Physics-Informed Neural Networks (ACM Digital Library: https://dl.acm.org/doi/10.1145/37••••••••55)I am interested in connecting with organizations and networks that value technical innovation and strategic data leadership.Tech Stack: Azure | Spark | Python | SQL | Quantum AI | SRE Principles
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