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Artificial Intelligence Experts in Dresden

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Meet FRATCH Experts in Dresden, who have recently used Artificial Intelligence

Verified expert

Katharina Schmidt

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ML Engineer & Data Scientist | Python

Dresden
Katharina Schmidt

Last position:

Virtual staining at Faculty of Electrical and Computer Engineering, TU Dresden

  • Technical and professional management of software and ML development; largely independent implementation of programming and guidance of the team and external project partners
  • Design, creation, and preparation of training and test data sets from experimental image data and simulations
  • Selection, implementation, training, validation, and testing of neural networks for image-based reconstruction and transformation
  • Systematic evaluation, comparison, and optimization of various model architectures (convolutional neural networks, generative adversarial networks, autoencoders, transformers)
  • Design and implementation of explainable AI analyses for model interpretability and robustness assessment (analysis of feature maps, augmentation studies, guided backpropagation)
  • Presentation of the developed methods and results in project meetings and at international conferences
Verified expert

Nikhil Gyamlani

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Co-founder / Solution Architect

Dresden
Nikhil Gyamlani

Last position:

Co-founder / Solution Architect at Lima Care GmbH

  • Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
  • Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
  • Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
  • Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
  • Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
  • Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
  • Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification
Verified expert

Srividhya Sainath

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PhD Student

Dresden
Srividhya Sainath

Last position:

PhD Student at KatherLab EKFZ for digital health TU Dresden

  • Primary Research:
  • Developed a compact (<700M parameters) generative vision-language model for whole slide image (WSI) by refining image tokenisation.
  • Established an improved evaluation framework, including a curated question-answering dataset and metric selection.
  • In preparation for submission.
  • Collaboration:
  • Conducting research in digital biomarker discovery in computational pathology (CPath) using AI methods.
  • Collaborated on projects with international partners, including the Francis Crick Institute (Molecular biomarker prediction in Clear-cell renal carcinoma), HeCOG Greece (Lynch syndrome identification in colorectal carcinoma and Multimodal survival prediction for Prostate adenocarcinoma) and the National Cancer Center Hospital Japan (HIBIRD).
  • The work with the Francis Crick Institute is currently being prepared for submission. The collaborative work in Japan has already been published, and the HeCOG projects are ongoing.
  • Consortium:
  • Manage inter-institutional collaboration and objectives as the KatherLab representative for the LiSYM Consortium.
  • Teaching:
  • Conducted online workshop sessions for two years at the Clinicum Digitale, educating physicians and medical students on the fundamentals of AI and Python skills.
  • Led a multimodal foundation model workshop at the AI in Cancer Research Summer School in Corfu, organized as part of ESAC.
  • Presented a talk on vision-language models at the AI in Medicine Summer School, a collaborative event by EKFZ, GENIAL, the TransformLiver Consortium, and ESAC.
Verified expert

Kristin Ottlinger

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Consulting, Strategy & Project Management

Dresden
Kristin Ottlinger

Last position:

Lecturer & Trainer at Technical University of Dresden

  • Lecturer for leadership development, new work culture, account management, project leadership, strategy & team leadership, communication, future skills and project management
Verified expert

Reinhard Duy

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Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning

Dresden
Reinhard Duy

Last position:

Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning at Continuing Education

  • Continuing education in Data Analytics, Artificial Intelligence, Deep Learning and Machine Learning
  • Operating system: Windows
  • Development environments: JetBrains PyCharm, Jupyter Notebook, Spyder
  • Programming languages: Python 3.10
  • Other technologies: Anaconda, Keras 2.10, NumPy, OpenCV, Pandas, Scikit-learn, Seaborn, TensorFlow 2.10, PyTorch
Verified expert

Tim Raveneau

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AI Engineer

Dresden
Tim Raveneau

Last position:

AI Engineer at Novo Nordisk

  • Streamlining massive production processes serving millions of patients for Europe’s most valuable company
Verified expert

Michael Menzel

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Senior Frontend Architect | iSAQB Certified | 17+ Years Enterprise Experience

Dresden
Michael Menzel

Last position:

Deutsche Bahn

  • Implemented accessibility audit recommendations for the ICE onboard portal to improve usability for screen reader and keyboard users
  • Migrated end-to-end tests from Cypress to Playwright
  • Refactored components to meet accessibility standards
  • Introduced Prettier for consistent code formatting
Verified expert

Nikhil Biju Joseph

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Master Thesis Student

Dresden
Nikhil Biju Joseph

Last position:

Master Thesis Student at Infineon Technologies

  • Development of a Virtual Exposure Matrix Using Artificial Intelligence for Lithography Processes in Semiconductor Manufacturing
  • Machine Learning (KNIME, Python)
Verified expert

Uwe Wetterau

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Self-employed & Founder

Dresden
Uwe Wetterau

Last position:

Self-employed & Founder at Wetterau Consulting

Verified expert

Philipp Anders

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DevOps Engineer

Dresden
Philipp Anders

Last position:

Cloud and DevOps Engineer Web2.0 + Web at decentnodes

Discover over 15,000 top freelancers

Statistics of experts using Artificial Intelligence

Aggregated from the professional profiles of matched freelancers.

Experience

16 years (Germany: 18 years)

Position duration

2 years (Germany: 3.1 years)

Positions per freelancer

11 (Germany: 10)

Top business areas

Information Technology, Product Development, Research and Development

Top industries

Information Technology, Education, Professional Services

Certification focus areas

Information Technology, Research and Development, Product Development

Bachelor's degree or higher

100% (Germany: 92%)

Master's degree or higher

70% (Germany: 64%)

Doctorate

40% (Germany: 11%)

Certifications per freelancer

4 (Germany: 3)

Most common languages

German, English, Spanish

Speak two or more languages

100% (Germany: 97%)

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 1 2 3 4
<€400 €400-​800 €800-​1200 €1200+

The chart shows how the daily rates of freelancers in this technology in Dresden are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.

Average rates of experts in Dresden using Artificial Intelligence

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 799 €
Germany avg. 843 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 760 €
Germany median 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

About the technology

What it covers

Artificial Intelligence is used to turn data, rules, and patterns into systems that can classify, predict, recommend, generate text, or support decisions. Teams bring in specialists for chat assistants, document processing, search, forecasting, computer vision, and other product features that need model-driven logic.

Typical work

  • Model selection, training, and tuning
  • Prompt design and evaluation for generative AI
  • Data preparation, labeling, and feature work
  • API integration into apps and workflows
  • Testing, monitoring, and quality checks

Tooling and stack

Strong AI specialists usually work across Python, notebooks, cloud services, and model frameworks such as TensorFlow, PyTorch, and scikit-learn. They also know how to connect models to data stores, vector search, and deployment tools so the system stays usable after launch.

When to bring in help

Companies often need freelance expertise when an AI idea is clear but the path from prototype to production is not. That includes messy data, uncertain model quality, slow inference, missing evaluation, or a need to add AI to an existing product without breaking it.

What good specialists do

Good professionals focus on data quality, measurable outputs, and maintainable systems. They explain trade-offs in plain words, choose the right model for the task, and avoid solutions that look clever but fail in real use. In Dresden, this is useful for teams that want local collaboration for sensitive projects or remote support for faster delivery.

Industries and delivery

AI work appears in manufacturing, mobility, healthcare, retail, and software products. It can be delivered as a proof of concept, a feature inside an app, or a full workflow that links models to business systems. For Dresden companies, on-site workshops and remote build phases often work well together.

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Frequently asked questions

Everything clients usually want to know about Artificial Intelligence, in one place.

Artificial Intelligence is used to automate decisions, classify content, predict outcomes, and generate responses or summaries. In practice, that can mean support assistants, document analysis, search, forecasting, image inspection, or recommendation logic. Good work starts with a clear use case and a measurable result.

AI is the broad field. Machine learning is one common approach inside it, and generative AI is a newer area that creates text, images, or other content. Companies usually hire for the specific task they need, not for the label alone.

A strong Artificial Intelligence specialist can turn a business problem into a technical plan, then build and test a solution that fits the product. They should handle data issues, model choice, evaluation, and deployment basics. Clear documentation matters as much as model quality.

A solid Artificial Intelligence profile often includes Python, SQL, data preparation, model evaluation, and cloud tooling. Many projects also need prompt design, API work, vector search, and an understanding of privacy and system limits. The best specialists connect these pieces without adding unnecessary complexity.

For a small proof of concept, a focused AI specialist may be enough. For production systems, you usually need someone who has worked with real data, monitoring, and failure handling. The more the system affects customers or operations, the more you should value practical delivery over theory.

For Artificial Intelligence, both can work well. Remote collaboration is often enough for model work, evaluation, and integration, while on-site sessions help when data access is sensitive or the team needs workshop-style alignment. Dresden companies often use a mix of both.

Look for clear examples of shipped Artificial Intelligence work, not just research talk. Ask how they measured results, how they handled bad data, and what they did when a model did not perform as expected. Good specialists can explain trade-offs in simple language and show the path from prototype to production.

The most common issue with Artificial Intelligence is unclear scope. Teams expect the model to fix bad data, vague goals, or broken processes, and then blame the technology when results are weak. A good freelancer will challenge the brief early and help define what success really means.

The average hourly rate of freelancers in Dresden, Germany who have used Artificial Intelligence in their recent projects is 100 €, which corresponds to a daily rate of about 799 € based on an 8-hour working day.

Of the freelancers in Dresden, Germany who have used Artificial Intelligence in their recent projects, 100% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 40% hold a doctorate.

On average, freelancers in Dresden, Germany who have used Artificial Intelligence in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2 years.

The most common languages among freelancers in Dresden, Germany who have used Artificial Intelligence in their recent projects are German (100%), English (100%), and Spanish (36%).

The most common industries among freelancers in Dresden, Germany who have used Artificial Intelligence in their recent projects are Information Technology (91%), Education (73%), and Professional Services (45%).

The most common business areas among freelancers in Dresden, Germany who have used Artificial Intelligence in their recent projects are Information Technology (91%), Product Development (82%), and Research and Development (82%).

Main locations of FRATCH Experts, who have recently used Artificial Intelligence

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

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