Provide expert consulting and operational support services to ensure the secure, compliant, and efficient operations and administration of a data center facility designated as critical infrastructure under the German KRITIS regulations.

Developed a customer service chatbot using TensorFlow and Python.

Integrated BERT for advanced natural language understanding.

Fine-tuned AI models using Keras for faster response times.

Implemented a feedback system for continuous learning and improvement.

Established a machine learning pipeline for ongoing threat learning.

Microservices Orchestration:  Orchestrated containerized applications using Kubernetes for scalability.

Infrastructure as Code: Automated cloud infrastructure provisioning using Terraform/Terragrunt/Ansible.

API Gateway setup: Configured API Gateways for seamless multi-cloud integration.

Data synchronization across clouds:  Implemented real-time data sync across AWS, GCP, and Azure.

Developed a real-time object detection system using Convolutional Neural Networks (CNN) in TensorFlow.

Enhanced training data accuracy with custom dataset augmentation techniques.

Optimized model for deployment on edge devices with TensorFlow Lite.

Created a RESTful API for easy integration of the detection system into existing applications.

Led the strategic migration of enterprise applications to Google Cloud Platform.

Utilized BigQuery for scalable and cost-effective data warehousing.

 Implemented cloud security best practices using Cloud IAM and Security Command Center.

 Implemented cloud security best practices using Cloud IAM and Security Command Center.

Created real-time threat detection using PyTorch/Python/Scilearnt.

 Deployed predictive models for threat analysis using Scikit-Learn.

Integrated AI solutions with existing Security Information and Event Management (SIEM) systems.

• Design and develop user mode software for deployment on Mac OS X/Windows/Linux systems
• Troubleshooting CICD pipeline deployment in near real time conditions: using Jenkins, Terraform and Ansible
• strong COBOL, JCL CICS, & VSAM Firefighting

•  Konzepterstellung / Aufbau Kubernetes Umgebung

• Creating, building the  next-generation IoT solutions that model real pharmaceutical production plant ...

• Cloud Computing Services, Platform Design & Solution Architecture on Blockchain network on kubernetes
•  PoC on blockchain-based platform to reduce transaction costs. 
• Consulting Services around the PCI certification for blockchain based platform 

• Deploying, Administration and Customizing Hadoop Clusters on Amazon EC2 instances.
• Using Python, Panda, Java and Scala with Apache Spark AWS Elastic Mapping Reduce and Azure.
• Bechmarking some technologies: Hadoop, Spark and Cassandra on AWS and Azure.
• Building a SMACK Architecture for Streaming Analytics and Financial Engineering.
• Running Hadoop, Cassandra, Mesos, Apache Spark and Big Top on Docker Container.
• Migration of some in Memory Applications from fortran, c# and c++ into Python and R.
• Mentoring of Junior Coders, Financial Engineers and Data Scientist and non Big Data Experts.

• Data Centre migrations, technology re-platforming and technology upgrade focused on Security Analytics and Network monitoring.
• Orchestrating Security in Hybrid cloud environments especially working on security requirements, OS hardening, penetration testing, and container isolation.
• Identification of all critical and non-critical security components to be assessed (e.g., firewalls, IDS, proxy, applications, databases, Antivirus Policy etc.).
• Security Capability development on Azure achieving PCI-DSS 3.1 regulatory requirements.
• Migrating VMs from Amazon AWS to Microsoft Azure. Automation and Config Management with Ansible and Puppet. Set Up and Management of real time data synchronisation.
• Support for schema creation and initial data load
• Building APIs and Customising SDLC to facilitate Interaction with AWS, Azure, Sales Forces and Oracles T4C-SAS Platforms.
• Working with clients on digital IAAS, PAAS, SAAS solution strategies, designs and delivery programmes.

• Gathering functional requirements, developing technical specifications, and project planning

• Design and develop ETL/ELT jobs across multiple platforms and tools including Informatica, SAS, Vertica, Oracle Solaris Sparc T4 and Hadoop

• Mining Marketing Campaign Criteria and Ad-hoc Customer Selection based on Customer Attributes and potential revenue attributes

• System Oracle Solaris Sparc T4

• Data Modeling for Data Warehouse Environments and within Open Source big data technologies like kafka, storm, Cassandra, HBase, etc.

• Mentors staff to develop software systems, Machine Learning Algorithms, Enterprise Big Data Architecture and development capabilities.

• Effectively leads teams through implementation of emerging technologies (NoSQL, Hadoop, Loom, Spark, Hive, MongoDB Exasol, Pentaho,Norton )

• Delivery methodologies with a focus on prescriptive and predictive analytics, data discovery, big data architectures, analytics capabilities (including visual analytics) over extremely huge data sets

• Implementation of data mining algorithms for automated grouping of SWIFT transactions to reconstruct entire trades

• Automated Investigation of digital tracks within the compliance systems to discover potential circumventions of sanction policies

• Data Centre migrations, technology re-platforming and technology upgrade focused on Security Analytics and Network monitoring.

• Orchestrating Security in Hybrid cloud environments especially working on security requirements, OS hardening, penetration testing, and container isolation.

• Migrating VMs from Amazon AWS to Microsoft Azure.

• Security Capability development on Azure achieving PCI-DSS 3.1 regulatory requirements.

• Automation and Config Management with Ansible and Puppet.

• Set Up and Management of real time data synchronisation.

• Support for schema creation and initial data load.

• Building APIs and Customising SDLC to facilitate Interaction with AWS, Azure, Sales Forces and Oracles T4C-SAS Platforms.

• Working with clients on digital IAAS, PAAS, SAAS solution strategies, designs and delivery programmes.

• Hadoop Cloudera administration and Customising services based on HUE. Processing Data with Pig, Hive, Python, Scala and R.
• Reviewing and documentation of advanced machine learning algorithms.
• Development and testing of Hadoop-based analytics pipelines from pre-production clusters in Amazon Web Services (AWS) into a full production customer cluster running in diverse data centres
• Development and testing of ICT infrastructures and big data systems. Administration Cloudera s enterprise software engagements
• Building, testing and preprocessing Databases on AWS-S3 for Data Scientists, Analyst and some End-Users

• Best Practices for Cassandra User/Developer/Analyst/PM: Platform Architecture, Real Advanced Analytics Requirements
• Cassandra Architecture including Data Modelling, Scaling, Performance tuning
• Mentor of System Engineers and IT analysts: Supporting the Development and Incorporation of External Monitoring Tools; Multi Regional Data Centres Asia-Europe
• Empowering other Departments and key partners to test the own cloud services: Cassandra, Spark, OpsCenter, Flume,etc...
• Design, testing and deployment Enterprise Lambda Architectures based on Spark Cassandra S-Layer, Kafka and Akka V-Layer.
• Installing, configuring and running Cassandra services on multiple data centres worldwide (UK, Germany, Russia and Australia)
• Decommissioning multi regional Data centre: C* Sandbox,C* VM, etc..
• Customising Cassandra APIs to enterprise daily business: NodeTools, Cassandra-cli, Pycassa.
• Coordinates new data development ensuring consistency and integration with existing DWS on A
• Performance Tuning:  Cassandra  Stress  Tests.(2Billion  Bid/day,10  TB/D,2-250  KQPS at low latency)
• System Automation by using Ansible-(Playbooks), Maven, Gradle, Jenkins and Puppets.
• Real Time Analytics coding Spark/Python, R, zookeeper and Weka
• Developing some Cassandra Data Model based on Thrift, CQlsh and C* CLi, DataStax Drivers
• Working on close cooperation with business partners: DataStax and Rackspace.
• Development of new Monitoring tools to track until 300 Nodes in 6 Data Center(Debian Systems) and 2 Cluster(multi-node Cassandra cluster on Amazon EC2)
• Building business cases based on Proof of Concepts: Predictive Analytics and Fraud Detection and Revenue Optimization, Digital Transformation

• Gathering functional requirements, developing technical specifications, and project planning
• Design and develop ETL/ELT jobs across multiple platforms and tools including Informatica, MySql, SAS, Vertica, Oracle Solaris Sparc T4 and Hadoop
• Mining Marketing Campaign Criteria and Ad-hoc Customer Selection based on Customer Attributes and potential revenue attributes
• Data Modelling for Data Warehouse Environments and within Open Source big data technologies like kafka, storm, Cassandra, HBase, etc.
• Mentors staff to develop software systems, Machine Learning Algorithms, Enterprise Big Data Architecture and development capabilities.
• Effectively leads teams through implementation of emerging technologies (NoSQL, Hadoop, Loom, Spark, Hive, MongoDB Exasol, Pentaho,Norton, AWS-S3 )
• Delivery methodologies with a focus on prescriptive and predictive analytics, data discovery, big data architectures, analytics capabilities (including visual analytics) over extremely huge data sets
• Implementation of data mining algorithms for automated grouping of SWIFT transactions to reconstruct entire trades
• Customising, Testing and Implementing Machine Learning Algorithms in R, Python, SAS Base for drug discovery: SVM for classification, BP-ANN,  Naive  Bayesian, classifier for regression and QSAR Analysis
• Implementation of Boosting Algorithms in SAS Enterprise Miner, BASE  SAS,  SAS/SAT  and  SAS IML
• Preparing and classifying Clinical Trial Data using commercial data mining systems
• Importing Relational Databases and Clinical Data Management systems into in house Machine Learning Systems based on Open-source softwares
• Design and development of Tableau visualization solutions
• Creation of users, groups, projects, workbooks and the ad-hoc permission sets for Tableau server logons and some security checks.
• Development, Design and Implementation of Therating Attack simulation framework Cooperation with IT architect to build a Cyber Security Center
• Coding, Testing of Penetration Testing Solutions within Kali Linux.

• Reservoir Service Economics Modelling
• Production Analytics: Production performance monitoring, analysis, and data integration into geology and reservoir engineering
• Conduction of reservoir modelling of CO2 and acid gas injection as well as gas hydrate reservoirFramework development: to address structure, 3-D grids, wells, infrastructure, and documentation by using object-oriented programming technologies in C++, Java and @R on Microsoft Azure
• Geoscreening Visual Analytics Environment for reservoir characterization, develop- ment planning, and production evaluation to optimize (non conventional) reservoir performance.
• Stochastic Programming Computation the apparent resistivities of two-dimensional geological structures for magneto telluric (MT) H-polarization case, using finite difference technique

• Building Data Mining models at an individual level to determine real biases of advertising support in the customer sensitivity to detecting customer preferences patterns.
• Developing social media, online newsletter and other marketing tools and platforms Forecasting campaign effectiveness and conversion rates based on historical data
• Providing campaign monitoring and performance reports during and after the campaign run
• Analysis of historical and real time loyalty and sales data across all brands and all regions
• Development of SAS Cloud Analytics Mix Modelling Scripts, Testing Reporting Tools, and JMP Customizing
• Provided critical DWH support to asset sale projects in the context of portfolio liquidation
• Using of financial and non financial metrics for Tracking Marketing cost data
• Mining retail marketing data to determine real biases of advertising support in the customer sensitivity.
• Drive projects focusing on revenue growth, mobile usage, and revenue - working closely with design, product, engineering, and data engineering teams

• Team leader and Technical Manager of six Reports in Germany and 2 in the USA
• Building, Testing and Implementation of Machine Learning Algorithms based  on Logistic Regression, Random Forest, Singel-Task Neural Net for Pharmaceutical and Clinical Data Analysis
• Optimising Remote Platform Services to predict and prevent costly breakdowns in machines ranging from turbines to tomographs
• Development, implementation, communication, and maintenance of the corporate data architecture, and data management standards and convention (SOX,ISOs, FDA, ISO 27001) etc.
• Operational support based on ITIL-V3 and PRINCE2 training, mentoring, and leadership to department staff
• Developed of batch mechanism automated reporting, enhanced reliability in report generation and made significant savings in resources
• Introduced enhancements on sensitivity and accuracy of the Risk Indicator algorithms tracking portfolio risks
• Maintains data, programs and reports in accordance with 21 FDA‘s CFR part 11
• Keeping relationships with key stakeholders across the business including marketing and operational areas to ensure pricing is a key consideration in new business strategies
• Migration from SAS 9.1 to 9.3

• Development for (technical) data solutions based on the analysis of the business goals, objectives, needs, and existing data systems and SAS/SAP infrastructure.

• Product development and administration of managed services, dedicated Linux servers, and web-hosting platforms

• Product development and administration of managed services, dedicated Linux servers, and web-hosting platforms
• Data analysis and SAS, ABAP, C++ , JAVA programming
• Extensive critical support and programming for managed Linux server customers Provided daily SAP security production support.
• Protection for stored data, certificates and cryptographic
• Supporting initiatives such as security, data growth, performance, platform upgrades, support agreements, and disaster recovery.
• Extrahing Data from Oracle Database into SAS

Assisting the statistician with the development of the statistical analysis plan Coding of statistical methods machine learning algorithms in SAS and Python to analyse clinical datasets:LogistBoost, GentBoost, SVM, DT Development and Implementation C++ Monte Carlo Framework to be implemented in the Brachytherapy Working on clinical database studies from proposal through to data disseminations Conducting quantitative analysis with the support of medical  statisticians at the Imaging and Radiooncology  Department

Designing diverse data mining Models & algorithms coding in Java, R and Python Construction and manipulation of large scale and complex datasets using SAS  macros. Evaluation of Investment Strategies using Nonlinear Programming and Stochastic Dominance Configuring Chart of Depreciation and depreciation areas Configuring Integration with FI General Ledger, Financial statement version for Asset reports etc Asset Valuation including Special value adjustment to Assets  through  Investment support Setting up the system for depreciation calculation, includes ordinary depreciation, Special depreciation