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Daniel MerkDM

Daniel Merk

Full Stack | AI Integration

€320/day
1 project
Konstanz, DE
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Daniel

Hello, I'm Daniel – Full Stack Developer with a focus on AI Integration!

With experience as an AI Engineer at Körber Supply Chain Logistics and a degree in Applied Computer Science, I develop applications across the entire stack: whether mobile, desktop, or web. If your product needs AI features, I can build them in right away.

My focus is on frontend development with Flutter and Vue, as well as backend development with Java, SpringBoot, and Rust. In the field of Machine Learning, I work with PyTorch and OpenCV and have already trained and integrated models for object detection, image classification, and OCR into production systems.

What drives me is curiosity:
In my free time, I build my own projects, try out new technologies, and engage with topics related to AI and software architecture. What I've already implemented professionally and privately ranges from fitness apps to training complex AI models. I place great importance on clean and well-structured code that is not only functional but also written modularly so that future extensions can be easily added.
  • German

    Native or bilingual

  • English

    Conversational

  • Russian

    Conversational

Remote only
Primarily works remotely

Experience

  • Körber Supply Chain Logistics
    AI Engineer, Working Student
    March 2025 - February 2026 (11 months)
    Konstanz, BW, Germany
    • Researched and evaluated lightweight text recognition models for CPU inference
    • Extensively developed tool for generating synthetic training data
    • Implemented product extensions and new features in C++
    Python C++ Pytorch OCR Research
  • Körber Supply Chain Logistics
    AI Engineer, Intern
    September 2024 - February 2025 (5 months)
    Konstanz, BW, Germany
    • Developed automated pipelines that generate synthetic training data for AI models, eliminating the need for time-consuming manual collection and annotation.
    • Trained, researched, and optimized deep learning models for image classification, object detection, and segmentation within an industrial mail sorting system. Additionally, explored and evaluated synthetic handwriting generation using RNNs (Alex Graves architecture) to improve the accuracy of OCR models.
    AI Machine Learning Python Pytorch
  • MoveMore
    Project
    February 2023 - March 2023 (1 month)
    Developed a fitness app in Flutter with a social leaderboard to compete with friends and a push-up counter based on Machine Learning, built with OpenCV, MediaPipe, and Scikit-Learn.

    Developed the frontend using Flutter and the backend using Java Springboot.
    SpringBoot Flutter Java Back-End development Fullstack

Reviews

5.0

Out of 1 rating

LuisL

Luis

Luis Männer

Reviewed on 12/13/2023

Daniel is an outstanding software developer with an impressive ability to deliver high-quality Flutter apps quickly and at an excellent price-performance ratio. His advice was extremely helpful and saved us from potential pitfalls, and the collaboration was not only professional but also highly enjoyable and inspiring. The developed app exceeded our expectations and reflects his technical expertise as well as his creative approach. I would be thrilled to work with Daniel again on future projects.

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Certifications

  • Machine Learning Specialization
    Coursera
    2023
    https://coursera.org/verify/specialization/XDUX3MBDP37N
    Supervised Learning Gradient descent CNN Logistic Regression Linear Regression Reinforcement Learning Neuronal Network Unsupervised Learning Recommender System Machine Learning

Skill set

Categories