Technical lead for Azure/Quantum Hybrid engineering
▪ Azure/Quantum Hybrid data modelling
• Azure Notebook/Python programming, Azure SQL DB, Service Bus, Azure Data Factory, Azure Data Lakes, Azure Functions, Azure Data Bricks, Conda Suite -Anaconda Python programming, Azure Stream Analytics
• Quantum Machine Learning
▪ Quantum Cognitive Sciences
• Quantum Algorithms For General Business Management
• 8 New Quantum Scale Data Intelligence In The Cloud Controls (Azure/Open Source)
▪ Quantum Economics
• Quantum Algorithms For Banking & Financial Services
• 7 New Quantum Scale Data Intelligence In The Cloud Controls (Azure/opensource)
• Azure/Quantum Hybrid Quadrillion data set analytics (post-data science/post-Bigdata)
▪ ≤ 125 Quadrillion data set analytics in no-time (<60> ▪ Develop and implement quantum structures in cloud to hold Hilbert space models for commodity exchanges
▪ Establish cloud persistent storage capable to meet quantum decision theory and quantum economics theory requirements for reversible computing
▪ Establish disruptive data repositories in conventional/Quantum Hybrid Architectures
• Artificial Intelligence/Machine Learning
▪ Data preparation
• Python, Pandas, Azureml.dataprep, Azure Data Factory (ADF)
▪ Experimentation
• Scikit-learn (GPU), TensorFlow (GPU), pySpark, MMLSpark, Spark SQL, Spark API, H2O.ai
▪ Deployment
• Docker, Azure Kubernetes Service(s) (AKS) container/cluster, IoT Edge, FPGA, Azure Bot Service, PyTorch
▪ Deep Learning
• Keras , TensorFlow, CNTK, Theano, Caffe2, Julia, Microsoft Cognitive Toolkit, Gensim, NLTK
▪ RNN
• LSTM, CNN

Deputy Team Director ASCR (Advanced Scientific Computing Research)
▪ Principal Investigator/co-PI
• DARPA, DSO, BAA, DoD SBIR/STTR Phase I and Phase II, Air Force 19. X SBIR, AF19x-CSO1, AF19D-001, NSF SBIR/STTR Program Phase I, NIH SBIR/STTR Phase 0, SoO
▪ Technical lead for Conventional/Quantum Hybrid engineering
• Conventional/Quantum Hybrid data modelling
o Public Cloud/Quantum Hybrid
▪ Microsoft Azure
• Azure Notebook/Python programming, Azure SQL DB, Service Bus, Azure Data Factory, Azure Data Lakes, Azure Functions, Azure Data Bricks, Conda Suite -Anaconda Python programming, Azure Stream Analytics
o Quantum Machine Learning
▪ Technical lead Quantum Algorithms and Quantum Computing Application
• Leading projects of interdisciplinary research theme of national priority:
o Future of Work at the Human-Quantum Technology Frontier
o The Quantum Leap: Leading the Next Quantum Revolution (QL),
• Serves as the POC for
o Federal Action: National Quantum Initiative
o Government-Industry Action: Quantum Economic Development Consortium (QED-C)
• Create & administer collaborations with non-academic partners
o Industry
o national/government laboratories
o non-government organizations
o government agencies
o independent laboratories
o research
o education
o outreach
o informal science centers

GDPR GAP ANALYSIS & AZURE GDPR COMPLIANCE DEMONSTRATION
• Corporate Binding Rule Scheme for MS Azure Cloud and on-premise GDPR compliance
• Conducted data mapping exercise, including legacy systems
• Identified enforcement, regulatory and compensatory issues
• Transitioned to, and demonstrating compliance with, the GDPR
• Executed the role of the Data Protection Officer (DPO)
• Reviewed client people, procedure and technical policies for compliance with GDPR Data Privacy Principles and in practical terms applied them to demonstrate compliance
• Designed, trained and conducted DPIA on Azure/on-Premise Hybrid
• Uni-directional traffic within the VNet (Palo Alto)
• Designed and established Binding Corporate Rules (BCRs) allowing multinational companies to transfer personal data from the European Economic Area (EEA) to their affiliates located outside of the EEA.
• Established organizational and technical adequate conditions demonstrating compliance for transfer of personal data to third countries
• Liaised with GDPR supervisory authority meeting prior consulting GDPR requirements
• Blockchain GDPR compliance demonstration

Global iPaaS (integration Platform as a Service) strategy chief architect
▪ Azure Security Stack
▪ Continuous Integration and Continuous Delivery (CI/CD) pipeline for .NET and .NET core applications deploying into
• Google Cloud Security Stack
• IBM SoftLayer
• AWS
• TFS
• PCF
• Transition of Walgreens global on-premise into Multi-Cloud/on premise iPaaS (integration Platform as a Service) processes
• IoT: Automated AI engine prototype to trigger Cloud/on premise/external system actions. Determination of targeted business processes to improve, desired outcomes that monitoring should support, and other business case elements. Map out of end-to-end scenarios.
• Technical design aspects of Microsoft Azure with Palo Alto Networks solutions
• In charge for Walgreens Global Security Architecture determination to handle hundreds of millions of data in Hybrid/Multi Cloud. Definition of processes, best practices and technical private compliant controls covering PCI DDD v3.2, ISO/IEC 27001-2013, HIPAA, EU-GDPR, EU ENISA- IAF, AICPA SOC 2, FedRAMP and ISO/IEC 19944 compliance
• EU General Data Protection Regulation – Global Compliance Transformation
6 e: info@action-science.org o: +1 407 730 6998 x101 - f: +1 407 730 4620 skype: olafcames
▪ Fully automated GDPR iPaaS (integration Platform as a Service), builds, hosts, scales, and manages autonomous to meet demands.
• Implemented Predictive Analytics with Spark in Azure HDInsight
• Processed Big Data with Hadoop in Azure HDInsight
• Azure Container Service (AKS) cluster
• Managed Kubernetes in Azure