Anaconda Experts in Germany

Task: Test tool development for Smart-Home IoT-based heating control Test tool development for Smart-Home HVAC heating and ventilation. Eliminating memory leaks in C/C++ within the CAN Analyzer application. Reviewing Python and Tcl/Tk code. Reviewing C-based simulator code for BOSCH Home Comfort cascade heating control using Visual Studio Code and Conan/Conda. Reviewing Delphi application: conversion to 64-bit. Reviewing PyQt6 user interface. SiL testing of domestic water heater control for memory leaks. Stability testing and continuous operation. Migration to Windows 11 24H2. Developing device connectivity with WinSock2 (WSAAPI, recv, send, select) for EMS/CAN IoT communication with C. Testing with virtual machines and Server Manager. Writing reports about the test cases. Logging with the RoboTT framework. Creating test procedure documentation with Docupedia. Bare-metal programming of embedded STM32 Cortex-M and simulation with Renode.io. In-depth familiarization with the SEGGER EmbOS firmware framework and its related system calls. Reviewing MATLAB/Sinumerik .m program files. Implementing redesigned OS schedulers in SEGGER EmbOS.Technologies: Embarcadero RAD Studio 10.2, Visual Studio Code, Sourcetree, Conan, Cmake, Conda, EmbOS, PyQt6, Qt6, Delphi VCL 32-bit, CAN, EMS, Powershell, MingW64, STM32 ARM-Cortex-M4F Renode.io, Windows Server 2022 Standard, RoboTT, IoT

• Lead programmer, architect and deputy product owner
• Completed transition from zPDV to STEP
• Ensured quality of C++ and Perl sources through automated and manual checks
• Supported resolution of incidents and errors in testing
• Implemented batch for supplementary assignment of payment run numbers
• Implemented batch for distribution of SGB 2 information to the central payment unit
• Supported replacement of Solaris with Linux
• Upgraded gcc from 7.4 to 9.3
• Programmatically generated Makefiles from Borland projects for builds
• Extended funding data with new attribute “Kennzeichen Fahrtkosten Praktikum”
• Programmatically generated XSD and WSDL files from IDL definitions
• Represented the product owner when needed
• Implemented batch for one-time payment processing
• Developed generator for Liquibase files
• Implemented and maintained regular anonymization of production data
• Supported migration from SLES 12 to SLES 15
• Supported introduction of mutual TLS
• Implemented batch for sending deletion impulses to EDA BE
• Organized script directory structure
• Investigated potential introduction of String-Latin and implemented minimal solution
• Remediated security findings identified by CheckMarx
• Supported PAP recalculations and general change notices
• Converted ERP interfaces from SOAP to REST
• Planned technical and business topics such as register modernization, cash register security, training costs, four-eyes principle

• Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
• Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
• Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
• Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
• Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
• Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.

Large Insurance Company – Consultant Wiesbaden: Consulting support for the introduction of an integrated planning and performance management framework (operational, financial, customer) to enhance customer-centric transparency, decision-making quality, and steering capabilities across all lines of business within an insurance organization:

• Analysis of existing processes, reports, KPIs, and KPI calculation methodologies
• Design and introduction of new, standardized customer KPIs (gross/net), as well as key steering metrics with consistent linkage across all lines of business
• Recalculation, validation, and plausibility checks of KPIs based on existing and newly integrated data sources
• Conceptual support for the development of an integrated reporting and performance management setup
• Execution of customer insights analyses to identify patterns and anomalies within customer data clusters

Large retail company – Consultant in Karlsruhe: Advisory services for the setup and step-by-step implementation of an internationally deployable RELEX solution in the supply chain management environment:

• Advising overall and sub-project management on methodology, project setup and steering (e.g. agile approach, Jira configuration, RELEX phases, Jira Structure PPM)
• Strategic-operational consulting for the introduction of RELEX including best practices
• Support in defining overarching goals and requirements (2-year target picture)
• Guidance in scoping a relevant supply chain network segment for the project
• Development of a roadmap for iterative, incremental RELEX setup and rollout
• Assessment of project dependencies (interfaces, configurations, etc.)
• Advice on prioritized implementation of business requirements and data interfaces
• Support in test planning (data validation, system testing, UAT)
• Consulting on internationalization, change management, training, and knowledge transfer
• Stakeholder advisory and alignment activities between the client, implementation partner, and RELEX

Insurance company – Management Consultant in Munich: Analysis, consulting and support for the optimization of a large-scale business and IT transformation. Focus on strategically important programs and modernization projects in the area of Managed Services Operations and processes:

• Review of project plans and deliverables; analysis of programs and projects (e.g. cloud approach, process standardization, system integration, roadmaps)
• Identification of technical, functional and personnel risks and challenges; development of content-related measures and alternative solutions
• Proposal of quality improvements for program and modernization efforts
• Sparring partner and professional, technical, structural and organizational consulting for project and program management

Large retail group – Management Consultant & Stream Lead in Cologne: Consulting, process, project and product management for the introduction and implementation of a large strategic program in the field of advanced analytics, assortment and space management:

• Setup, test and rollout of a new space planning, automation and optimization product based on the existing cluster-based merchandising approach
• Definition and setup of new processes and transformation and change management measures for the new store-specific merchandising approach
• Collaboration with Advanced Analytics and IT (internal and external) for software implementations, automations, extensions and interfaces
• MVP approach and piloting in phases with gradual rollout (pilot with 80 stores, region with 500 stores, national level with 4000 stores)

Large retail company – Agile Coach & Change Agent in Cologne: Agile coach, OKR master and facilitator for the introduction of the OKR approach in a large strategic digitization program for retail stores:

• Coaching of the core team with topic managers and team leads
• Introduction to the OKR topic and setup of the OKR cycle
• Establishment of the OKR approach in teams and on a cross-team level

Delivery and logistics company – Management Consultant in United Kingdom: Consulting and coaching in the restructuring of the Data Analytics department:

• Analysis of current challenges
• Definition of overarching goals
• Development of a proposal for a new team structure
• Identification of required competencies, skills and responsibilities
• Advisory and alignment on communication and change management strategy

• A warehouse valuation system was reimplemented using Java, Spring Boot, and Camunda. The backend solution focuses on integration and batch calculations, the frontend on managing formulas and reviewing results.
• Java 21
• Spring Boot
• JPA
• Maven
• REST
• Kafka
• PostgreSQL
• DB2
• Liquibase
• Google Cloud Storage
• Keycloak
• GitLab CI/CD
• Helm
• Terragrunt
• SonarQube
• Angular
• IntelliJ
• JUnit 5
• Mockito
• Open API

• Development of embedded software for a valve prototype with LIN interface.
• Extension of the software architecture in Rhapsody.
• Implementation of the valve control as a state machine in Rhapsody.
• Implementation of a LIN stack for communication with the PLIN-LDF test environment.
• Integration & commissioning of the built-in bootstrap loader.
• MCU: Infineon TLE9867.
• IDE: Keil µVision5.
• Project management: GitLab.
• Architecture: Rhapsody Architect.
• CAN adapter: PEAK PLIN-USB.

• Helped 10+ SMEs to take their first steps in AI
• Held over 30 workshops on AI strategy and AI training
• Conducted audits through the identification and evaluation of AI uses
• Developed dedicated AI strategies and roadmaps for transformation
• Implemented AI workflows, AI agents and dedicated AI solutions
• Developed AI product roadmaps
• Delivered interactive trainings on prompting, EU AI Act, benefits and challenges of AI

• Collect, clean, and preprocess data.
• Perform exploratory data analysis to find patterns and insights.
• Build and evaluate statistical models and machine learning algorithms.
• Visualize data and results using tools like Matplotlib, Seaborn, Power BI, or Tableau.
• Work with cross-functional teams to define data needs and KPIs.
• Develop models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Follow data privacy and security regulations.

• Contributed to development of an online simulation-based digital twin of bridge infrastructure project.
• Created packages implementing computational and statistical modules for the digital twin.
• Modeled the structure using FEniCSX within a Python environment.
• Integrated real sensor data with the virtual model via APIs.
• Used inference models to predict the future state of the bridge.

• Working with developers, security, and operations teams to align requirements
• Supporting product owners and development teams in using logging and monitoring solutions based on the Elastic Stack
• Developing and standardizing log schemas as well as defining practical standards for observability
• Designing and further developing logging architectures for complex, distributed multi-tenant environments
• Connecting application and infrastructure logs as well as security tools and metrics
• Optimizing data flows and modeling for analysis and reporting purposes
• Building automated infrastructures using Terraform/Terragrunt and Ansible
• Maintaining and further developing CI/CD pipelines in GitLab as well as automated development environments in Hetzner Robot
• Operating and automating Proxmox clusters including Ceph storage
• Setting up and operating Kubernetes (k3s) clusters on Fedora CoreOS including base services such as Vault, OpenLDAP, and HA Proxy
• Implementing security-critical infrastructures according to BSI baseline protection and securing existing systems
• Supporting the operation of solutions in cloud environments (including AWS)
• Working in agile teams using Scrum and Kanban
• Technologies/ applications: Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana), Terraform, Terragrunt, Ansible, GitLab CI/CD, GitOps, Proxmox, Proxmox Ceph, Kubernetes (k3s), OpenShift, Helm, Kustomize, Vault, OpenLDAP, HA Proxy, Hetzner Robot systems, AWS, Prometheus, Grafana, Syslog Linux/Windows, Docker, NGINX, Apache Security & Compliance (BSI baseline protection, SIEM/SOC)

• Led UI/UX and engineering team using Agile to develop 'Crane Intelligence Safety Platform', communicated with customers from the factories to incorporate feedback into applications.
• Launched 'Crane Intelligence Safety Platform' across more than 10 user scenarios in various Chinese shipbuilding factories.
• Prioritized product roadmap with developers, aligning the product vision with the user needs and business strategy. Iterated the product to combine user needs and achieved 25 more implementations than forecast.
• Collaborated with the algorithm team to design a model deployment process compliant with security standards.
• Established a fault detection predictive model capable of analysing collected device data and automating maintenance strategy decisions.
• Developed the automated software inspection and operation mechanism to increase the project maintenance efficiency by 70%.
• Generated the software testing group in our department and realized the automatic software test for every product to be launched, significantly reduced 60% of post-launch revisions and improved user experience.
• Evangelized products in road shows, exhibitions, and events with industry cooperators.

• Designed and implemented secure backend services using Java, Spring Boot, and Hibernate, following microservice principles and RESTful standards.
• Implemented GraphQL-driven REST APIs to streamline backend services in a Gradle and Maven environment.
• Implemented OAuth2-based authentication and authorization mechanisms to secure RESTful APIs in Spring Boot applications.

• Led large-scale data analysis on high-volume event data, applying statistical modeling and time-series methods to detect weak signals in noisy environments
• Designed and maintained scalable Python data pipelines for real and simulated datasets, optimizing signal detection and background estimation at scale
• Applied advanced statistical inference techniques (likelihood-based modeling, hypothesis testing) to support quantitative decision-making
• Deployed data-processing workflows on HPC clusters using Slurm, enabling parallelized analysis and large-scale batch execution
• Built reproducible, version-controlled data workflows using Python, Bash, and Git to ensure reliability and traceability of results
• Translated complex experimental data into actionable insights, enabling quantitative decision-making

• Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
• Designing and preparing lessons
• Classroom teaching and one-on-one coaching