I am a multidisciplinary software engineer with over 6 years of experience in backend, frontend, embedded platforms, and AI integration. Architecting full-stack applications, and enhancing performance in data-driven envi…
I am a multidisciplinary software engineer with over 6 years of experience in backend, frontend, embedded platforms, and AI integration. Architecting full-stack applications, and enhancing performance in data-driven environments. I am passionate about leveraging technology to solve complex problems and contribute to innovative projects.
<p>Built and deployed full-stack web applications using React, VueJS,</p><p>Django, FastAPI, and Node.js, with clean architecture and modular</p><p>design</p><p>Designed responsive, cross-platform frontends using Tailwind CSS,</p><p>SCSS, and Bootstrap, optimized for performance and accessibility</p><p>Developed scalable backend systems with Spring Boot and MongoDB,</p><p>integrating RESTful APIs and handling real-time data workflows</p><p>Set up CI/CD pipelines and managed deployments on Heroku, Vercel,</p><p>and Hetzner, including server configuration with Nginx and Apache</p><p>Automated infrastructure tasks and monitoring using Docker, GitHub</p><p>Actions, and shell scripting for streamlined DevOps operations</p>
<p>Electronics Department</p><p></p><p>• Testing and debugging C libraries used by the OS9 operating system</p><p>• Writing OS9 kernel drivers for USB stick management to prevent data loss</p>
<p>Vahle Technologiezentrum für Forschung und Entwicklung VTC</p><p>• Defining and designing a desktop tool for data analysis in Python</p><p>• Data cleansing using Pandas and Numpy</p><p>• Data visualization with Seaborn and Matplotlib</p><p>• Creating dynamic PDF reports using Python FPDF</p><p>• Increased application performance by 30% through code improvements</p><p>• Managing GPIOs of Raspberry Pi 4 with C</p>
<p>Software platform department at b-plus GmbH</p><p>• Developed kernel drivers for Kontron SoC</p><p>• Utilized alternative Linux build systems like Yocto and Buildroot</p>
<p>Automotive Süd</p><p>• Backend development using Spring Boot, Spring Security, Spring Data, and</p><p>Spring MVC</p><p>• Contributed to projects booking app and Stickman configurator projects</p><p>• Worked in an agile Scrum team, defining technologies and functionalities</p><p>• Utilized Angular for frontend tasks</p>
<p>Enhanced MicroPython firmware on ESP32 by integrating a custom C</p><p>function to compute the Moore-Penrose pseudo-inverse, enabling</p><p>seamless use as a Python module for efficient numerical computation.</p><p>Applied core concepts of machine learning and feedforward algorithms</p><p>to build robust classification systems on microcontroller platforms.</p><p>Explored the mathematical underpinnings of the Extreme Learning</p><p>Machine (ELM), architecting a variant with dual hidden layers to extend</p><p>model capacity and improve interpretability within embedded systems.</p><p>Implemented the ELM feedforward algorithm in MicroPython from</p><p>scratch, replacing an existing Multilayer Perceptron (MLP) to optimize</p><p>classification workflows in edge computing environments.</p><p>Achieved a 10-second performance improvement over 100 test</p><p>samples in motor bearing classification by transitioning from MLP to</p><p>ELM, demonstrating superior real-time inference capabilities on</p><p>resource-constrained hardware.</p>
<p>Elektronik & Versuchsfeld EAE</p><p>• Created Petalinux with Xilinx SDK as part of Yocto project</p><p>• Developed Yocto recipes and layers</p><p>• Conducted research on database engines and performance profiling</p><p>• Introduced to FPGA and VHDL</p><p>• Developed data management tools and systems suitable for Petalinux</p>
<p>Developed kernel drivers for Kontron SoC<br>
Utilized alternative Linux build systems like Yocto and Buildroot</p>
<p>Defining and designing a desktop tool for data analysis in Python<br>
Data cleansing using Pandas and Numpy<br>
Data visualization with Seaborn and Matplotlib<br>
Creating dynamic PDF reports using Python FPDF<br>
Increased application performance by 30% through code improvements<br>
Managing GPIOs of Raspberry Pi 4 with C</p>
<p>Testing and debugging C libraries used by the OS9 operating system<br>
Writing OS9 kernel drivers for USB stick management to prevent data loss</p>
<p>Automated production requests using Excel VBA<br>
Managed production request revisions for semiconductor layers</p>
<p>Created Petalinux with Xilinx SDK as part of Yocto project<br>
Developed Yocto recipes and layers<br>
Conducted research on database engines and performance profiling<br>
Introduced to FPGA and VHDL<br>
Developed data management tools and systems suitable for Petalinux</p>
<p>Enhanced MicroPython firmware on ESP32 by integrating a custom C function to compute the Moore-Penrose pseudo-inverse, enabling seamless use as a Python module for efficient numerical computation<br>
Applied core concepts of machine learning and feedforward algorithms to build robust classification systems on microcontroller platforms<br>
Explored the mathematical underpinnings of the Extreme Learning Machine (ELM), architecting a variant with dual hidden layers to extend model capacity and improve interpretability within embedded systems<br>
Implemented the ELM feedforward algorithm in MicroPython from scratch, replacing an existing Multilayer Perceptron (MLP) to optimize classification workflows in edge computing environments<br>
Achieved a 10-second performance improvement over 100 test samples in motor bearing classification by transitioning from MLP to ELM, demonstrating superior real-time inference capabilities on resource-constrained hardware</p>
<p>Backend development using Spring Boot, Spring Security, Spring Data, and Spring MVC<br>
Contributed to projects booking app and Stickman configurator projects<br>
Worked in an agile Scrum team, defining technologies and functionalities<br>
Utilized Angular for frontend tasks</p>
<p>Automated production requests using Excel VBA<br>
Managed production request revisions for semiconductor layers</p>
<p>Created Petalinux with Xilinx SDK as part of Yocto project<br>
Developed Yocto recipes and layers<br>
Conducted research on database engines and performance profiling<br>
Introduced to FPGA and VHDL<br>
Developed data management tools and systems suitable for Petalinux</p>
<p>Enhanced MicroPython firmware on ESP32 by integrating a custom C function to compute the Moore-Penrose pseudo-inverse, enabling seamless use as a Python module for efficient numerical computation<br>
Applied core concepts of machine learning and feedforward algorithms to build robust classification systems on microcontroller platforms<br>
Explored the mathematical underpinnings of the Extreme Learning Machine (ELM), architecting a variant with dual hidden layers to extend model capacity and improve interpretability within embedded systems<br>
Implemented the ELM feedforward algorithm in MicroPython from scratch, replacing an existing Multilayer Perceptron (MLP) to optimize classification workflows in edge computing environments<br>
Achieved a 10-second performance improvement over 100 test samples in motor bearing classification by transitioning from MLP to ELM, demonstrating superior real-time inference capabilities on resource-constrained hardware</p>
<p>Audioly Demo project</p><p>• Developed a Voice AI platform, by deploying TTS</p><p>AI models: XTTS, Kokoro, ParlerTTS, MeloTTS</p><p>Openvoice, Whisperspeech Bark TTS, Tortoise TTS,</p><p>Edge TTS, GTTS and STT AI models: openai-</p><p>whisper via Ollama. I used Nodejs for backend</p><p>development, Scss for front end and Python for</p><p>AI&ML.</p>
<p>Project in data analysis and PDF automation using GUI___________________________________________________________________________________________________</p>
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