Jinja Experts in Germany

• Built a Trend-Scouting AI system to automate technology intelligence in power electronics and semiconductors, combining Azure OpenAI with LangChain, Scrapy-based web crawling for structured, noise-free data acquisition, and automated PDF reporting for internal R&D use. Developed a FastAPI-based (Uvicorn) web application to validate LLM outputs, test prompt strategies, and enable interactive system evaluation.
• Developed a real-time STM32 binary telemetry debugger with a PyQt-based GUI, featuring header-based frame synchronization, anomaly detection, template-driven payload decoding, time-aligned buffering, and live signal visualization.
• Developed an AI-driven power inductor designer using surrogate regression models for accurate electromagnetic and thermal prediction. Integrated multi-objective NSGA-II optimization to generate efficient, manufacturable designs.

• Built and verified Zynq-7000 (Zybo Z7-10) FPGA prototypes in Xilinx Vivado – AXI IP integration, bitstream generation, hardware bring-up, timing-closure checks and waveform-based debug to confirm expected RTL behaviour.
• Set up Cadence Virtuoso schematic/simulation flows and documented settings, results and methodology for reproducible experiments – supporting structured verification and research documentation.
• Wrote Python automation for log parsing, structured data reporting and result analysis; worked daily in version-controlled Linux/Git workflows.

agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.

• Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
• I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.

• Consulting an NGO in the field of data center sustainability in publicly funded projects (BMUKN with NADIKI and Umweltbundesamt with SIEC)
• Development of Python APIs and web applications, deployment on AWS/ECS with Terraform
• Collecting power consumption metrics for servers, CPUs, GPUs running AI workloads
• Technologies used: AWS, EC2, ECS, Fargate, CloudMap, VPC, Route53, Lambda, EventBridge, CodeBuild/CodePipeline/CodeDeploy, Terraform, Docker, Linux, Bash scripting, Python, Flask, SQLAlchemy, SQL, MariaDB, InfluxDB, Telegraf, Prometheus, Zabbix, Kubernetes, Letsencrypt, certificate management

• Built custom Yocto Linux image with Docker support (NXP i.MX 6ULL)
• Developed distributed Python application (web interface, gas/temp control)
• Designed multiple docker containers for production and development
• Wrote documentation per IEC 62304

• Built and deployed a Flask-based full-stack web app with CRUD functionality for managing movie data, improving data handling efficiency by 25%.
• Designed a responsive front end using HTML, CSS, and Jinja templates, enhancing user interaction and accessibility.
• Integrated SQLite database and implemented Git/GitHub version control, ensuring reliability, scalability, and seamless deployment on PythonAnywhere.

• Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
• Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
• Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
• Use of Scrum and Kanban methods.
• Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
• Development of new plugins and add-ons needed on current infrastructure.
• Database support.
• Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
• Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
• Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
• Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
• Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
• Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
• Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
• Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
• Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
• Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
• Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
• Automated system provisioning and deployment using CloudFormation templates.
• Configuration of IAM roles, policies and permissions to ensure secure access control.
• Patch management, backup automation and disaster recovery setup on AWS infrastructure.
• Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
• Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
• Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
• Configuration of AWS CloudWatch to monitor application performance and system events.
• Planning and execution of migration of on-premises applications to AWS cloud platforms.
• Deployment of containerized applications using Docker and Kubernetes in AWS environments.
• Deployment of internal software packages between availability zones using AWS CodeDeploy.
• Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.

• Development of a framework for test automation based on Pytest
• Automation of a large number of manual tests from Jupyter notebooks using Pytest scripts
• Definition of Gitlab pipelines for automated test execution
• Configuration of Docker instances for test runs
• Automated creation and publishing of test reports on Confluence pages
• Graphical data visualization for analyzing test results
• Specification, design, and implementation of performance tests for the system
• Generation of synthetic test data for performance tests
• Automation of performance tests with Gitlab pipelines and automatically generated test reports with continuous monitoring
• Tools: Python 3, Pandas, Pytest, Visual Studio Code, Matplotlib, Jinja, Jupyter, JSON, HTML, REST, Camunda, Gitlab, Git, Docker, Jira, Confluence, Artifactory, Scrum

• Designed a Flask-based AI support assistant integrating OpenAI and WHMCS to automate troubleshooting, ticket creation, and escalation.
• Implemented robust intent detection using zero-shot classification and semantic similarity with keyword fallbacks for reliability.
• Built a priority classifier (TF-IDF + Logistic Regression) with background retraining and persisted artifacts for adaptive triage.
• Engineered resilient WHMCS API client with content-type detection, graceful error handling, and mock fallbacks to ensure uptime.
• Developed RESTful APIs and a Jinja2 UI, and automated ticket enrichment from conversation context to improve agent efficiency.
• Established data capture using SQLite for tickets, feedback, and QA and implemented a feedback loop to enable continuous improvement.

• Planning and implementation of full-stack projects for public, political, and corporate communications.
• Focus on accessible and sustainable websites with a PHP-based backend (mainly Craft CMS/Twig, but also WordPress/Twig, TYPO3/Fluid, Kirby CMS, and Symfony/Twig) and a JavaScript-based backend with Next.js.
• Component-driven (Atomic Design) frontend using TypeScript, SCSS, BEM methodology, and HTMX, or React/VueJS SPAs.
• DevOps using GitHub/GitLab CI, Terraform, and Ansible.
• Worked for Atruvia AG, Hamburg Energie, Initiative D21, the Society for Civil Rights, and various levels of the SPD and the Greens.