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• Designing the audit logging framework
• Implementing APIs for developers to integrate in their codebase
• Implementing ingestion pipeline, database query layer and UI for browsing the audit events
• Improving stability and reliability of the backend system

• Development of new simulator features and extension of existing modules using C++.

• GUI design and implementation with Qt for Windows, including redesigns to improve usability and workflow.

• Maintenance and expansion of existing codebase: refactoring, bug fixes, and modularization to support new capabilities.

• Version control using Git.

• Performance optimization of simulation to meet real-time constraints.

• Creating and maintaining documentation: technical comments, design docs, API references and user manuals.

• Led a redesign that improved operator workflow and reduced task completion time.

• Extended simulator architecture to support multiple new scenario types while preserving backward compatibility.

• Implemented refactoring and modularization that simplified maintenance and accelerated feature delivery.

• Technologies: C++03, Qt4.6, QMake, Git, V-Model, Windows

• Design and implementation of a Laravel backend API for provider-based geo search, feature details, boundary geometries and neighborhood detection.
• The API serves as a server-side proxy, cache and enrichment layer, protecting credentials for external geo services and persisting features, localizations, geometries, hierarchies and neighborhood relationships in MariaDB.
• Key areas included normalization of autocomplete and feature data, caching strategies for expensive boundary/polygon requests, spatial processing of GeoJSON and MultiPolygon geometries, as well as neighborhood detection using hierarchies, bounding box filters and topology checks.
• Additionally, separate production and diagnostic endpoints were created, along with status and error catalogs, discovery logging, a Docker development stack, API documentation, and unit and feature tests.
• Technologies: PHP 8.3, Laravel, REST API, geo data API, GeoJSON, MariaDB Spatial, Eloquent, Laravel Queues, PHPUnit, Mockery, Docker, Docker Compose, API design, geocoding, boundary data, spatial queries.

Task

• Further development of a new ERP system with Blazor
• Creation of e-invoices in the XRechnung and ZUGFeRD formats
• UI/UX design Client-server system
• Windows 11 Technology
• Microsoft .NET 9, Git, Azure DevOps, ASP.NET, MSSQL, Blazor Programming languages
• C#, MVVM Development tools
• Microsoft Visual Studio .NET 2022 Database
• MSSQL Industry
• Other

• Development and maintenance of hardware drivers in C++
• Conducting unit and integration tests to ensure code quality
• Debugging and fixing issues with the hardware team and FPGA team
• Defining and developing software concepts and coordinating with the software architect
• Expanding test automation to improve efficiency
• Research and development of algorithms to improve existing codebases (runtime, memory usage, accuracy)

• Development of a test system
• Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
• Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
• Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
• Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial

• Developing software tools within the EICACS program (LDACS project) supporting secure avionics communication.
• Built Python-based automation and monitoring services to validate AI components under Trustable AI guidelines.
• Designed CI/CD and test pipelines improving reproducibility and reliability across teams.

• Project Title: Path Planning Module Development (Oct 2024 – Jun 2025)

• Developed path planning module using C++14 and CMake

• Implemented gRPC communication protocol between modules

• Performed unit testing using Pytest framework and Python

• Project Title: HMI Programming for Battery, Fuel Cell Electric Vehicle (Aug 2023 – Sep 2024)

• Developed HMI software for BEV/FCEV using Ruby and Crystal for backend

• Implemented frontend using Vue.js framework

• Conducted bug fixes and simulator testing

• Project Title: IFHOST CAN Bus Programming (Jan 2023 – Jul 2023)

• Programmed CAN bus software using C and C++

• Executed unit tests with Google Test framework

• Performed integration testing using CAPL in Vector CANalyzer

• Participated in onsite testing

• Built middleware service integrating EDI providers and marketplace partners with Microsoft Dynamics 365 to receive sales orders and communicate shipments, invoices, inventory, and price catalogues
• Utilized a mixture of REST APIs and event-driven data processing pipelines

• Development of the digital organ donation register, commissioned by the Federal Institute for Drugs and Medical Devices (BfArM)

• Implementation of user stories in multiple microservices (front- and backend)

• Ensuring quality with unit, integration, and end-to-end tests

• Conducting code reviews

• Coordination with other development teams

• Taking over software license checks and simplifying the process

• Responsible for implementing and documenting domain logging

• Setting up a development environment with Docker Compose

• Successfully integrated the Vector Flash Bootloader (FBL) for both NXP and TI SoCs within the Ford FNV3 and FNV4 audio amplifier projects.

• Achieved complete bootloader bring-up and ensured reliable operation, enabling secure and efficient firmware update capabilities.

• Developed a valid approach for running the Vector FBL entirely from RAM on the TI SoC, addressing unique architectural and memory handling challenges.

• Debugged and optimized NXP MCAL and TI MCAL configurations to ensure proper low-level hardware initialization.

• Managed specific constraints of DDR-only bootloader execution on TI SoC, including memory mapping and execution flow.

• Tools: Vector DaVinci Configurator, Vector CANoe

• Languages: C, Python

• Standards: AUTOSAR

Development of the embedded firmware for a smart wearable to capture vital signs with smartphone connectivity:

• Architecture and implementation of the complete embedded firmware
• Connecting and processing various sensors for vital data collection
• Implementing BLE communication for the smartphone app
• Optimizing power consumption and battery life for wearable operation
• Technologies: BLE, Embedded C/C++, sensors, low-power design, Git, nRF52840, GCC, Azure

• Backend development of the cloud-based microservice
• Frontend development of the microfrontend
• Migration of the cloud backend environment
• Rollout of the distributed high-availability Privacy Data Service
• Technologies: Java, Kotlin, Spring Boot, REST Services, Kubernetes, Microsoft Azure, Cloud Security, OpenAPI, Postman, JavaScript, Vue.js, AngularJS, TypeScript, Micro Frontend, Redis, Kibana, Grafana, CI/CD, GitHub Actions, Jenkins, Helm Charts, Sec-Hub, Black Duck, Docker, Maven, Git, Scrum