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Lukas Nöller

@lukasnller

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Computer engineer focused on machine learning, embedded systems, and full‑stack development.

Germany

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What I'm looking for

I am seeking engineering roles that let me apply ML and embedded systems expertise to productionize solutions, collaborate in cross‑functional teams, and continue research-driven impact.

I am a computer engineer with strong experience across machine learning, embedded systems, and full‑stack development gained through industry roles and research. I combine rigorous academic training with hands‑on engineering to deliver production‑ready software and hardware solutions.

At accantec I oversaw frontend and backend design for an in‑house knowledge management app, implemented core backend routing, and deployed a Dockerized web app to Microsoft Azure using a qdrant vector database. I researched automated knowledge graph construction using large language models to improve information retrieval.

While at Fraunhofer SIRIOS I adapted crowd density estimation codebases, trained and fine‑tuned neural networks, researched 3D object detection on point clouds, and led annotation and preprocessing efforts to elevate dataset quality. In embedded roles I built firmware, created automated configuration and update tools with GUIs, and developed test programs for battery management and device validation.

I bring a pragmatic, collaborative approach to engineering problems, strong tooling knowledge (Azure, Docker, git, qdrant, Neo4j), and programming expertise in Python, C/C++, and more. I seek roles where I can apply ML and embedded systems experience to create impactful, productionized solutions.

Experience

Work history, roles, and key accomplishments

Working Student

accantec information solutions AG

Jan 2025 - Sep 2025 (8 months)

Oversaw design and development of frontend and backend for an in-house knowledge management app; deployed and maintained the web app on Microsoft Azure using Docker and Qdrant for vector retrieval. Researched and implemented methods for automated knowledge graph construction using LLMs.

Python Docker Microsoft Azure Qdrant Backend Development Frontend Development LLM Knowledge Graphs

Working Student

Fraunhofer Institute

Jan 2024 - Dec 2024 (11 months)

Adapted and optimized crowd density estimation codebases to meet performance targets and fine-tuned neural networks on public and in-house datasets; led annotation best-practice strategies and researched 3D object detection models using point clouds.

PyTorch Python Neural Networks Data Annotation 3D Detection Computer Vision OpenCV

Embedded Software Developer

TRICERA energy GmbH

Jul 2023 - Oct 2023 (3 months)

Developed automated configuration and software update GUI for embedded devices and implemented microcontroller firmware to monitor battery temperature and voltages; supported development of a battery management system and performed on-site troubleshooting for large-scale battery storage.

C++Embedded Systems Battery Management Testing Soldering Troubleshooting

Intern / Researcher

Georg Lempe Engineering Solutions

Apr 2022 - Mar 2023 (11 months)

Led design and development of an automated image capture station using Python, electronics, and 3D printing and developed custom image processing algorithms for embedded testing; completed and defended a bachelor’s thesis based on the project.

Python Image Processing 3D Printing Electronics Automation OpenCV

Working Student

voice Inter connect

Jun 2020 - Mar 2022 (1 year 9 months)

Developed test software and contributed to speech recognition application testing; assembled and repaired SMD/THT circuit boards and built and tested complete intercom devices.

Test Automation Speech Recognition Testing Soldering C++Python

Education

Degrees, certifications, and relevant coursework

Berlin University of Applied Sciences

Master of Computer Engineering, Computer Engineering

2023 -

Grade: 1,2

Pursuing a Master of Computer Engineering at Berlin University of Applied Sciences from October 2023 to October 2025 with strong academic performance (GPA 1.2).

Dresden University of Applied Sciences

Bachelor of Electrical Engineering, Electrical Engineering

2018 - 2023

Grade: 1,7

Completed a Bachelor of Electrical Engineering at Dresden University of Applied Sciences from October 2018 to February 2023 with a GPA of 1.7; thesis project focused on an automated image capture station.