Olaf C.

Senior AI, Cognitive & Automation Architect Azure/Quantum Hybrid Architect

Commitment
0/ 5
Competency
0/ 5
Reliability
0/ 5
  • Overall Experience: 31 Years  
  • Adaptive Algorithms:
  • Agile Software Development:
  • Algorithm Development:
  • Android:
  • Apache Mahout:

Olaf C. 

Senior AI, Cognitive & Automation Architect Azure/Quantum Hybrid Architect

Commitment
0/5
Competency
0/5
Reliability
0/5

Time zones ready to work

  • Pacific Daylight [UTC -7]
  • Eastern EST [UTC +3]
  • Central Daylight [UTC -5]

Willing to travel to client location: Yes  

About Me 

  I am representing a new generation of scientists trained in emerging cutting-edge methods developing fundamentally new approaches across computing, mathematics, en

  I am representing a new generation of scientists trained in emerging cutting-edge methods developing fundamentally new approaches across computing, mathematics, engineering, and sciences.

Summary:

Doctor of Business Administration at the University of Liverpool with the following skills:

·        Varied interdisciplinary research and change management experience in professional, intercultural, applied, business and organisational communication; project management; global business; international management; decision processes and governance; organisation design; crisis communication; leadership development; negotiation; and organisational behaviour.International recognised peer-reviewed thought leader in applied quantum information sciences 

·        Strong research expertise and experience in experimental research, quantum decision sciences, quantum cognition science, quantum information science and the mathematical framework of quantum mechanics based on doctoral thesis research with the University of Liverpool, Management School and IBM Q quantum computing research scientists 

·        Visiting Research Scholar - 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, DoE. Strong research expertise and experience in experimental research, quantum decision sciences, quantum cognition science, quantum information science and the mathematical framework of quantum mechanics based on doctoral thesis research with the University of Liverpool, Management School and IBM Q quantum computing research scientists 

·       MSc in IT with distinction with the following 34 years IT Experience:
7+ years quantum information sciences academic and professional publications,  • 29+ years IT Security Architect, • 25+ years organizational change management, • 7+ years quantum mechanical algorithms designer, • 7+ years quantum compiler experience, • 35+ years developer, • 31+ years data-centric developer, • 28+ years project manager experience, • 20+ years patent developer and patent holder, • 19+years Mobile Device Development experience, • 8+ years IBM SNA/SAA Architecture experience, • 24+ year UNIX (Linux/Ubuntu/Apache/AIX/Solaris/Silicon Graphics/SCO), • 2+ Open QASM (Quantum Assembly Language), • 24+ years SQL, • 34+ years RDBMS, • 6+ years Complexity Scientist/Action Researcher, •3+ years Python, • 10+ years MS Azure Cloud/O365, • 3+ years AWS Cloud, 2+ IBM Q Cloud  • 2+ IBM Q 20 QUBIT SUPERCONDUCTING COMPUTER PROGRAMMING

·        Selection of industry-relevant certification:
CEH, CHFI,27+ Microsoft Certified Developer certification, MIT certified: Quantum Algorithms for Cybersecurity and Optimization, Microsoft Certified Azure AI Engineer, Microsoft Certified Azure Data Scientist, Microsoft Certified Azure Solutions Architect Expert, ISO certified GDPR Practitioner, Certified PRO: Designing and Developing Windows Azure Applications, People Management: Formal Leadership Education at the University of Liverpool (UK), Management School

Sincerely,

Dr. Olaf Cames, DBA, MSc(Dist) 
Member/Manager 
Doctor of Business Administration  

Show More

Interview Videos

Signup to see videos

Risk-Free Trial, Pay Only If Satisfied.

Portfolios

IBM Q – QUANTUM INFORMATION SCIENCES DELIVERY LEAD

Role:

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 An

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

Show More

Skills: Quantum Computing

Tools: Azureazure devopsPythonJuniperAnaconda

Fordham University, US: NYC, NY & LONDON, UK VISITING RESEARCH SCHOLAR

Role:

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 Co

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

Show More

Skills: Data Science

Tools: jupyterAnacondaPythonazure devops

GDPR GAP ANALYSIS & AZURE GDPR COMPLIANCE DEMONSTRATION

Role:

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

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

Show More

Skills:

Tools: Azure IoT Edge

Global Cloud Security Principal Architect

Role:

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

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

Show More

Skills: Azure

Tools: azure devops

Employment

Member/Manager

2000/01 -

Skills: Data analyticsData ScienceQuantum ComputingAzureActive DirectoryAzure AKSAzure B2CAzure BlobAzure BackupAzure DataBricksAzure DataFactoryAzure DataLakeAzureAzure Event HubAzure Graph APIAzure IaaSAzure IOT HubAzure Function AppKubernetesAzure MLAzure Key VaultAzure PaaSAzure PKSAzure Stream AnalyticsAzureASR - Azure Site RecoveryAzure VPNAzure TablesAzure WAFAzure SQL DWHAzure NetworkAzure Cloud ServicesPython

Your Role and Responsibilities:

Member/Manager R&D

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

Member/Manager R&D

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 laboratori

Show More

Education

2011 - 2019


2005 - 2008


US work authorization

Are you legally authorized to work in the United States? Yes

Skills

Adaptive Algorithms Agile Software Development Algorithm Development Android Apache Mahout

Tools

Visual Studio Online Enterprise Architect Github Azure Microsoft Visual Studio

Achievements

 

Dr. Olaf Cames, DBA, MSc (Dist)

Professional Preparation

MSc (Dist), Information Technology, University of Liverpool, School of Electrical Engineering, Electronics and Computer Science,

Liverpool, UK

 

 

 

 

 

Nov. 2005 -
Jun. 2008

 

§ Concentration in information security, regulatory compliance, compliance with the EU data protection act 2003.

§ Title: Development of process models to achieve accreditation in the EU for compliance with the EU Data Protection Act 2003

 

 

Doctor, Business Administration, University of Liverpool, Management School,

Liverpool, UK

 

Nov. 2011 –

Apr. 2019

 

§ Concentration in action research, quantum decision sciences, mathematical framework of quantum mechanics, quantum computational sociology, organisational change and decision- making, IBM Q quantum circuit design.

 

Advisor: Prof. Dr. Peter Smith; Associate Prof. Meghann L. Drury-Grogan. Committee: Dr. Fotios Misopoulos, Dr. Paul Ellwood and Prof. Dr. David Bryde

 

§ Title: Complex Action Methodology for Enterprise Systems (CAMES): An experimental action research inquiry into communicative action and quantum mechanics for action research field studies in organisational context

 

 

 

Appointments                                                                                                                                

Fordham University, London, UK & New York & Bronx, NY, USA

 

Jul. 2019 -  prepresent

Gabelli School of Business Visiting Research Scholar

 

Virtual Broadcasting Information Center (VBIC) LLC,

Member/Manager

 

Orlando, FL, USA

Disruptive Technology Change Management Consultant: Applied Quantum Information Sciences Delivery Lead - IBM Q Quantum Computing

 

 

  Jan. 2000 -
  prpresent

IAQS Institute for Applied Quantum Information Science,

Geschäftsführender Gesellschafter

 

Düsseldorf, Germany

Horizon 2020 Call. PI for EU-Consortium Proposal: Quantum Cloud.


 

 

 

 

  Sep. 2016 –
        Dec. 2018

 

 

Publications & Synergistic Activities

Peer-Reviewed Academic Book Chapters

Cames, O., & Drury-Grogan, M. L. (2019).Complex Action Methodology for Enterprise Systems (CAMES): A System to Contextualize the Behavioral Management Issue as Quantum Mechanical Variable. In Handbook of Research on Strategic Communication, Leadership, and Conflict Management in Modern Organizations (pp. 302-314). IGI Global.

Smith, P. & Cames, O., (2016). CAMES: An Approach to Project Management Based on Action Research and the Ideal Speech Situation. In Project Management: Concepts, Methodologies, Tools, and Applications (pp. 2175-2189). IGI Global.

Under Review

Cames, O., & Drury-Grogan, M. L. (2019) Complex Action Methodology for Enterprise Systems (CAMES): Algorithmic Management to Democratise Monetisation of Post- Quantum Data Privacy, Manuscript submitted to European Journal of Information Systems. (Status: Under Review)

Cames, O, (2020) Quantum information science and its technology applications. Quantum research and development for the economic and national security of the United States. GI Global (Status: Under Review)

Peer Reviewed Conference Proceedings

Cames, O Drury-Grogan, M. L. (2019). Complex Action Methodology for Enterprise Systems (CAMES): Algorithmic Management to Democratise Monetisation of Post-Quantum Data Privacy. Paper Development Workshop for European Journal of Information Systems. The International Conference on Information Systems. Munich, Germany, Dec 18, 2019. Extended Abstract

Cames, O & Smith, P. (2015). Corporate Action Methodology for Enterprise Systems (CAMES): Decision Management through Improved Communication. In Association for Information Systems (AIS) Proceedings: ICDSST 2015 Conference on Big Data Analytics for Decision Making, Belgrade, Serbia May 27-29, 2015: EWG DSS EURO working group on Decision Support Systems. Poster

Cames, O & Smith, P. (2015). CAMES (Corporate Action Methodology for Enterprise Systems): a system to transform project interactions and reduce project failure. In Association for Science Direct Procedia Computer Science: Conference on ENTERprise Information Systems (CENTERIS/ProjMAN/HCist 2015). Vilamoura, Portugal 7 - 9 October 2015: EWG DSS EURO working group on Decision Support Systems.

Synergistic Activities

Patents:
Cames, O. (2019). Quantum Mechanical Probabilistic Apparatus To Measure, Forecast, Visualize Humanoid Mental Statuses. U.S. Patent Application 16/157,097

 

.

 

 

  

Preferred Languages

English - Fluent French - Conversational