Friedrich Melchert
Verified Expert in Engineering
Machine Learning Developer
Friedrich is a passionate developer who has been refining his skills for over a decade in numerous academic and industry projects. He specializes in AI-driven app development and has a vast portfolio of experiences, from firmware development for microcontrollers to the implementation of large-scale cloud applications. Proficient in various software development patterns, Friedrich can quickly adapt to new technologies and deal with conflicts and emergencies while staying calm and focused.
Portfolio
Experience
Availability
Preferred Environment
Vue, JavaScript, Google Cloud Platform (GCP), Ionic, Supabase, Bluetooth LE, Cross-platform App Development, Web App Development, GitHub, GitLab
The most amazing...
...thing I’ve developed is an online platform for a seed library that facilitates a sustainable NGO to provide seeds for rare varieties to a broad public.
Work Experience
CEO | Lead Developer
specTelligence GmbH
- Developed an innovative mobile sensing system that combines the smartphone display and front-facing camera to facilitate basic spectral measurements with regular smartphones.
- Implemented a large-scale machine learning cloud to analyze and evaluate spectral information in a problem-specific domain automatically.
- Designed an online platform for customers to manage acquired data and deploy custom applications based on spectral sensing technology.
Research Manager
Fraunhofer IFF
- Developed an automated measurement robot equipped with various spectral sensors to identify the conditions of leaf samples in a biological research facility.
- Designed and implemented a highly flexible plugin-based software framework to dynamically interconnect various sensing devices with user interfaces and machine learning tools for data analysis.
- Implemented a high-throughput system for the real-time analysis of high-resolution sensor data with highly optimized machine learning models.
Junior Researcher
University of Groningen
- Developed algorithms to detect and exploit the functional characteristics of input data to drastically improve the performance of machine learning processes.
- Published and presented research results at various renowned national and international conferences.
- Extended and optimized a custom machine learning toolbox for MATLAB focused on prototype-based classification systems.
Experience
Free Your Seed | Seed Library Management
https://saatgut-bibliothek.com/Skills
Languages
JavaScript, C++, PHP, Java, HTML5, CSS, Python, TypeScript
Frameworks
Laravel, Vuetify, Lumen, Ionic, Bootstrap, Flask, Nuxt.js
Libraries/APIs
Vue, Vuex, REST APIs, Scikit-learn, React, Node.js, PyTorch, D3.js, Chart.js
Paradigms
Data Science
Platforms
Android, Windows, Linux, Bluetooth LE, Google Cloud Platform (GCP)
Other
Machine Learning, Data Research, Mobile App Development, Web App Development, PWA, HTTP REST, Cross-platform App Development, Embedded Development, Image Analysis, Bluetooth, Medical Devices, Supabase
Tools
MATLAB, MATLAB Statistics & Machine Learning Toolbox, NPM, GitHub, GitLab
Education
Partially Completed PhD in Computer Science
University of Groningen - Groningen, Netherlands
Master's Degree in Medical Systems Engineering
Otto von Guericke University Magdeburg - Magdeburg, Germany
Master's Degree in Electrical Engineering
Otto von Guericke University Magdeburg - Magdeburg, Germany
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