Hugging Face Experts in Nuremberg
matched in minutes from over 15,000 CVs with the power of AIHire experts who work with Transformers, Datasets, Tokenizers, and model deployment on Hugging Face. Get specialists for fine-tuning, evaluation, and production rollout, matched fast from vetted, available freelancers.
Meet FRATCH Experts in Nuremberg, who have recently used Hugging Face
David Onaiyekan
Last position:
Research Intern at Pattern Recognition Lab
- Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
- Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment
Partha Nandi
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Pawan Saxena
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Uddipan Basu Bir
Last position:
Research Team Member at Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Ekaansh Khosla
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Aqsa Younus
Last position:
Multilingual Translation Tool - NLP Project
- Integrated MarianMT (Marian Machine Translation) models to ensure high-quality neural machine translation (NMT).
- Managed model loading and tokenization via Hugging Face Transformers, optimizing for offline caching and reproducibility.
- Planned extensions: language auto-detection, batch translations, and streamlined GPU inference with PyTorch.
Discover over 15,000 top freelancers
Statistics of experts using Hugging Face
Aggregated from the professional profiles of matched freelancers.
Experience
6 years (Germany: 12 years)
Position duration
1.5 years (Germany: 1.8 years)
Positions per freelancer
5 (Germany: 9)
Top business areas
Information Technology, Research and Development, Product Development
Top industries
Information Technology, Education, Manufacturing
Certification focus areas
Information Technology, Research and Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
100% (Germany: 78%)
Certifications per freelancer
2
Most common languages
German, English, Hindi
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg 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 Nuremberg using Hugging Face
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
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
Hugging Face is used to build and ship modern machine learning and generative AI features. It centers on models, datasets, and tooling for training, fine-tuning, sharing, and serving NLP, vision, and audio systems. Teams use it when they need a clear path from research models to working products.
Core tools
- Transformers for model loading and inference
- Datasets for data preparation and evaluation
- Tokenizers for fast text processing
- Hub workflows for sharing and versioning models
- Inference tools for production delivery
Typical work
Strong specialists handle model selection, prompt and adapter tuning, dataset cleanup, and benchmark checks. They also wire models into APIs, batch jobs, and internal tools. In Nuremberg, they often support industrial software teams that need secure rollout and clear handover.
When to bring in help
Companies usually look for freelance expertise when a proof of concept must become stable, or when a team needs help comparing open models and hosted options. Support is also useful if outputs drift, latency is too high, or the data pipeline needs structure. A good specialist can join remote or on-site work without slowing the team down.
What good experts do
A strong Hugging Face specialist understands how models, data, and deployment fit together. They document changes, check quality with real test cases, and keep the setup maintainable. They should also know where HF fits beside PyTorch, Python, cloud tooling, and serving stacks.
Fit for the team
The right expert does not just load a model and stop there. They match the task to the right framework pieces, whether that is Transformers, tokenization, training scripts, or inference endpoints. For companies in Nuremberg, that means practical collaboration, clear communication, and delivery that fits the team’s workflow.
Frequently asked questions
Before you brief your next project: the most common questions about Hugging Face.
Hugging Face is used to build, tune, and serve machine learning models, especially for text, images, and speech. Teams rely on it for model experiments, dataset handling, and production inference when they want a faster path from idea to working feature.
Hugging Face is the broader ecosystem, while Transformers is one of its best-known libraries. In practice, people often say HuggingFace when they mean the full stack around models, datasets, tokenizers, and hosting tools.
A strong Hugging Face specialist usually also knows Python, PyTorch, and solid data handling. Depending on the project, cloud deployment, API design, and evaluation methods matter just as much as the model code.
Hugging Face projects vary a lot. A simple proof of concept may need only focused support, while a production rollout needs someone who can manage data quality, testing, deployment, and maintenance. The best fit depends on how risky the use case is and how much your team already knows.
Bring in Hugging Face expertise when your internal team has a model idea but needs help turning it into a reliable system. It is also useful when a project needs faster iteration, better evaluation, or a clean bridge from notebook work to production.
Hugging Face adds a higher-level workflow on top of model work, which can save time on loading models, managing datasets, and reusing components. PyTorch is still important underneath, but HF is often the better choice when you need speed, consistency, and easier sharing across teams.
Yes. Hugging Face projects are often well suited to remote collaboration because the work centers on code, data, and reviewable outputs. On-site time in Nuremberg can still help when a team wants close workshops, faster decisions, or access to sensitive internal systems.
Look for a Hugging Face expert who can explain model choice, data preparation, and evaluation in plain language. Good signs are clear experiment tracking, reproducible results, and deployment thinking, not just a working demo. Ask how they handle drift, edge cases, and handover.
The average hourly rate of freelancers in Nuremberg, Germany who have used Hugging Face in their recent projects is 43 €, which corresponds to a daily rate of about 348 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Hugging Face in their recent projects, 100% hold at least a Bachelor's degree and 100% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used Hugging Face in their recent projects have 6 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Nuremberg, Germany who have used Hugging Face in their recent projects are German (100%), English (100%), and Hindi (33%).
The most common industries among freelancers in Nuremberg, Germany who have used Hugging Face in their recent projects are Information Technology (100%), Education (67%), and Manufacturing (50%).
The most common business areas among freelancers in Nuremberg, Germany who have used Hugging Face in their recent projects are Information Technology (100%), Research and Development (100%), and Product Development (83%).
Main locations of FRATCH Experts, who have recently used Hugging Face
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.
Berlin 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
