LaTeX Expert in Munich

• This project involved extraction of intelligence data to support report writing for a company that provides geopolitical, global, commercial intelligence. The data have been gathered from a number of resources (interview transcripts, online data, internal documents), and then a knowledge base has been build from it. This was the basis of a complex RAG system, that was evaluated against a golden dataset. Agents have been used to find out the contradicting intelligence, the statements supporting each other, and to store back the generated knowledge.

Used: Python, RAG, LangGraph, LangChain, deepeval, MCP

Oracle Project Management and Automation

As part of the project, the operation of an Oracle infrastructure was automated by developing and enhancing Puppet modules and migrating existing Bash scripts to a standardized configuration management solution.

The aim of the project was to standardize and automate administrative processes, improve the maintainability of the Oracle platform, and increase the efficiency and traceability of infrastructure management through the use of Infrastructure as Code.

• Analysis and migration of existing Bash shell scripts to a Puppet-based automation solution
• Development and enhancement of Puppet modules for Oracle environments
• Automation of installation, configuration and operational processes using Infrastructure as Code
• Standardization and optimization of configuration management for Oracle systems
• Creation and maintenance of technical and operational documentation
• Planning, coordination and professional support during project implementation
• Operation and automation of Oracle systems on x86-based Linux server platforms
• Testing and quality assurance of the developed Puppet modules
• Analysis and resolution of technical errors as part of the automation and migration
• Close coordination with specialist departments and infrastructure teams to implement automation requirements

Technologies used: Puppet 7/8, SLES 15, Oracle 19, Oracle Grid, SVN, Windows Server, Confluence, VS Code, Ruby, Bash, Pass

• Operations and extensions of Azure DevOps pipelines

• Operations and extensions of AWS services

• Citrix (Windows 10, Bitwarden)

• AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting

• Azure: build and deploy with DevOps pipelines

• Development and quotation of technical solutions
• Design of high-performance solutions
• Management of aftersales operations, teams and budget
• Documentation revision

• Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.

• Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.

• Risk Management
• Incident Management
• Security Analysis
• Secure Coding
• Information Security Management System (ISMS)

• Developed web scraping scripts to extract and parse over 5000 product data from the Zalando website.
• Performed ETL processes using Apache Spark in CDSW, loaded the data into the Hadoop ecosystem (HDFS), and managed data using Hive and Impala.
• Implemented machine learning algorithms, achieving 85–90% accuracy on multi-class product classification.
• Integrated Zalando's product and price data into the dashboard with Otto and Takko for interactive visuals.

• Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
• Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
• Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
• Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
• Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)

• Developed and deployed custom ROS2 nodes for real-time LiDAR-IMU fusion using R3Live++ on ARM64 hardware (Docker, CMake)
• Configured IMU, camera, and LiDAR drivers for proper data timing and formats to enable real-time 3D mapping with R3Live
• Built complete simulation stack for quadrotor UAVs: Ardupilot SITL + ROS2/DDS + Gazebo Harmonic + YOLOv8 detection

• Designing and conducting Small-Angle Neutron Scattering (SANS) experiments as an integral part of nanomaterial analysis.
• Conducting training sessions, providing support, and offering advice to users on sample preparation and data analysis to ensure they utilize the instruments to their maximum potential.
• Supporting the enhancement of neutron scattering instruments to explore and characterize magnetic phenomena in novel composite materials.
• Collaborating with an interdisciplinary team to evaluate and interpret experimental results, comprehend the scientific value of measurements, and engage in discussions to draw meaningful conclusions.

• Participated in various annotation projects for machine learning models, contributing to the development and refinement of AI algorithms.

• Container orchestration with Docker and Kubernetes clusters
• Operating cloud platforms like Rancher, Azure, and AWS
• Development with and use of infrastructure-as-code tools like Terraform, Kubectl, and Helm
• Analysis and use of Python, YAML, and JSON

• Simulated electrical power steering (EPS) system in Dymola
• Developed a simulation-based, system-dependent methodology employing Cauer thermal network modeling to characterize transient short-circuit failure behavior in power electronic components
• Assessed failure criticality based on system state monitoring against ISO 26262 permissible operating limits
• Experimentally validated simulation results through controlled short-circuit fault injection tests on EPS hardware, reducing the estimated Failure-In-Time (FIT) rate of the EPS system by up to 80%

• Financial management in a private equity transaction as part of the company's operational leadership.
• Operational and strategic responsibility for construction cost control for the private equity's Europe-wide real estate projects.
• Budget and cost planning.
• Weekly cash flow planning.
• Managing processes in accounting and payments.
• Overall leadership and responsibility for controlling.
• Forecasting and reporting.
• Technologies: Microsoft Excel, SAP R3.