Image Processing Experts
matched in minutes from over 15,000 CVs with the power of AIHire experts who can clean, transform, and analyze images, build OCR and feature extraction flows, and connect vision pipelines to production systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts who have recently used Image Processing
Peter Schillen
Last position:
Senior ML Engineer & AI Researcher at Anonymous client
Project: Defect generation on inspection images of metal surfaces
Environment:* Automated Visual Inspection (AVI), Metallurgy & Manufacturing
Goal & implementation: Concept, architecture, and training of Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g. cracks, inclusions, scale) on rough metal surfaces under real inspection-light conditions for privacy-compliant and efficient dataset expansion (Data Augmentation).
Technical design: Implementation of robust Generative AI and Computer Vision pipelines in Python and PyTorch. Use of semantic segmentation approaches for mask-guided defect synthesis and downstream evaluation with EfficientDet object detection models.
Business impact: Massive dataset upscaling (factor of 10x) without time- and cost-intensive physical inspection runs, while at the same time drastically improving the detection performance of automated inspection systems.
Technologies & skills used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision
Yusuf Congar
Last position:
Senior Software Engineer at LeiKon GmbH
- Development of scalable backend applications with C#/.NET and Java
- Design and implementation of distributed microservice architectures
- Development and integration of REST APIs for industrial applications
- Development of modern web applications with React, Angular, and TypeScript
- Implementation of MQTT-based communication solutions
- Integration of industrial protocols such as OPC UA and Modbus TCP
- Development of batch, process control, and HMI components
- Containerization and deployment of applications with Docker
- Conducting code reviews and supporting architecture decisions
- Close collaboration with product owners, QA, and interdisciplinary teams
- Analysis of business requirements and implementation of technical solutions
- Further development of existing software architectures with a focus on maintainability and performance
Technologies: C#, .NET, ASP.NET Core, Java, C++, React, Angular, TypeScript, Vue.JS, MQTT, OPC UA, Modbus TCP, Docker, GitLab, MariaDB, MySQL, Linux
Sven Wanner
Last position:
Simulation of Photometric-Stereo Setups at ID Engineering
- Role: Simulation Engineer
- Environment: Mechanical Engineering / Visual Inspection
- Goals & Implementation: Simulation of photometric-stereo setups to determine the best positions for cameras and light sources for each specific part.
- Business Value: Enabled a low-cost and scalable solution for determining part-specific hardware setups.
- Tech Stack: Python, Blender
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Jens-Uwe Peter
Last position:
Architecture and Programming for Automotive Test Bench Platform at Automotive Supplier
In this project, I was responsible for the design and implementation of a new, modular, and highly scalable test bench platform for an automotive supplier. My focus was on developing a robust system architecture and programming the associated software, with consistent use of UML modeling throughout. This structured approach made it possible to greatly increase the reusability of individual LabVIEW test modules and to significantly reduce development time for follow-up projects. I also integrated modern automotive standards such as CAN FD, LIN, and safety requirements, which made the solution future-proof.
Technologies: LabVIEW, Visio, UML, CAN FD, LIN, DMM, Safety, image processing, project management, HMI, C#, C++, Python, Rust, CI
Youness Raji
Last position:
Communication modernization and recipe management between S7-300, S7-1500 and WinCC V7 at Siemens AG
- Consulting and development of suitable communication concepts between S7-300 and S7-1500, taking the existing PROFIBUS infrastructure into account
- Technical support for connecting the S7-300 controllers to the existing recipe data block of the S7-1500
- Assisting in the development of the communication sequence for recipe access (read, write, acknowledge, status handling)
- Configuration of S7 communication (PUT/GET)
- Creation and adaptation of WinCC V7 scripts (C scripts and VBS scripts) for WinCC-based recipe management
- Development, optimization, and integration of recipe processes into the existing WinCC project structure
- Commissioning of the new communication interfaces and recommissioning of the recipe logic on existing systems
- Creation of technical documents: communication sequences, functional descriptions, commissioning documentation
Samuel Kopp
Last position:
Founder & Agentic AI Engineer at Agentakt LLC
Independent engineering practice focused on custom AI systems, production delivery, and fractional technical leadership.
Selected client engagement: Scalutions
Role: Serve as fractional CTO and hands-on technical lead, responsible for the architecture and agentic infrastructure behind its managed B2B outbound operation.
Product: Designed and built OutboundLoop, an agentic SDR operating system for research, qualification, personalized outreach, campaign management, human approvals, measurement, and continuous improvement.
Scope: Own the full system lifecycle—from business processes and agent behavior to context design, model routing, integrations, evaluation, telemetry, reliability, cost control, and production operations.
Wadim Lupejcenko
Last position:
Fullstack Developer at dripwear.app
Development of an iOS app for virtual try-on and outfit suggestions
The goal of the project is to develop a mobile application for personalized, photorealistic outfit suggestions. Users should be able to upload their own photos, try on clothes virtually, and find products that can be bought directly in the generated suggestions.
- Planning and implementation of the onboarding and photo upload in the iOS app
- Development of the mobile application with Expo and React Native
- Implementation of a Hono/Node.js backend for user, product, and generation processes
- Building an asynchronous processing pipeline with BullMQ and Redis
- Connection of PostgreSQL/pgvector and S3 for product, image, and generation data
- Integration of Gemini and OpenAI for outfit generation and image processing
- Implementation of a credit system and integration of RevenueCat
- Integration of Stripe Connect and affiliate product feeds for products that can be bought directly
Label: TypeScript, React Native, Expo, Hono, Node.js, PostgreSQL/pgvector, BullMQ, Redis, S3, Gemini, OpenAI, RevenueCat, Stripe Connect, Docker
Lino Giefer
Last position:
Senior Data Scientist at VinFast Germany GmbH
- Led strategic software development of fusion algorithms for precise object tracking, trajectory prediction, and environment modeling based on multimodal sensor data (e.g., camera, LiDAR, radar, GNSS, IMU)
- Developed and implemented navigation algorithms for autonomous vehicles, including path planning, obstacle avoidance, and sensor fusion of visual, inertial, and distance-based sensor sources
- Automated extraction and training processes with CI/CD
- Developed and optimized data pipelines and processes in Microsoft Azure using Apache Spark, Databricks, and PySpark
- Developed and optimized embedded software for automotive control units
- Designed latency-critical software for real-time control in robotic systems with RTOS (freeRTOS, SAFERTOS)
- Used the Vector toolchain (CANdela, DaVinci, CANoe) for configuration and diagnostics
- Optimized existing data pipelines and processes (ETL, data warehouse, SQL)
- Developed and trained machine learning models using PyTorch
- Created deep-learning-based object detection and visual SLAM algorithms, trained on combined data from camera, LiDAR, and IMU sensors
- Implemented computer vision algorithms for object detection and classification in robotic systems using OpenCV and YOLO, utilizing synchronized image and depth data
- Implemented behavior-based control systems for autonomous robots using ROS2 Behavior Trees
- Performed testing, release, and integration of sensor fusion algorithms into automotive production programs
- Ensured adherence to proper software development processes and safety standards to guarantee high data quality (MISRA, ISO 26262, ASPICE)
Shanna Tellaev
Last position:
Problem Resolution Manager at CARIAD SE (VW AG), formerly CARMEQ GmbH (VW AG)
- Automotive SPICE®: all assessments fully achieved
- Agile transformation: V-model → SAFe successfully implemented
- Series release: on-time, quality-assured software delivery for key Volkswagen Group models (including ECE homologation)
- Stakeholder management: internal & external
- Process optimization: implemented a continuous improvement process (CIP) with a tracking system
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
Björn Kunz
Last position:
Development Engineer Control Concepts at TU Chemnitz
- Development and validation of control concepts for grid stabilization with MATLAB/Simulink.
- Modeling of converters (VISMA), grids, and loads to study frequency and phase behavior during load steps.
- Analysis of the influence of inertia, damping, and controller parameters on stability, power output, and ROCOF.
- Development of adaptive control strategies to improve synchronization and dynamic grid support.
- Creation of automated simulation and evaluation tools to assess different scenarios and parameters.
Hamza Salaar
Last position:
Research Associate - AI & Autonomous Systems at Hochschule Coburg
- Developed and implemented AI-based perception and multimodal systems for real-world environments
- Built, trained, and evaluated Machine Learning and Deep Learning models using Python, PyTorch, TensorFlow, and OpenCV
- Worked with Vision-Language Models (VLMs), Large Language Models (LLMs), transformer-based architectures, and multimodal AI systems
- Applied LoRA-based fine-tuning techniques and experimented with diffusion models for generative and multimodal AI applications
- Developed multimodal perception pipelines using camera, LiDAR, and sensor data
- Designed end-to-end workflows for data processing, model training, evaluation, benchmarking, and robustness analysis
- Utilized HuggingFace Transformers and modern Deep Learning frameworks for AI experimentation and deployment workflows
- Applied GPU-accelerated computing, CUDA-based processing, ONNX, and TensorRT optimization for efficient inference and large-scale model training
- Collaborated with industry partners including Valeo and REHAU on applied AI and intelligent system projects
- Developed scalable AI architectures and prototype software solutions for automation and perception tasks
Krzysztof Gantzke
Last position:
C++ Software Developer at HENSOLDT AG
Development of new simulator features and extension of existing modules using C++.
GUI design and implementation with Qt for Windows, including redesigns to improve usability and workflow.
Maintenance and expansion of existing codebase: refactoring, bug fixes, and modularization to support new capabilities.
Version control using Git.
Performance optimization of simulation to meet real-time constraints.
Creating and maintaining documentation: technical comments, design docs, API references and user manuals.
Led a redesign that improved operator workflow and reduced task completion time.
Extended simulator architecture to support multiple new scenario types while preserving backward compatibility.
Implemented refactoring and modularization that simplified maintenance and accelerated feature delivery.
Technologies: C++03, Qt4.6, QMake, Git, V-Model, Windows
Krithika Chand
Last position:
Professional Reorientation at Von Rundstedt
- Engaged in a structured career development program while strengthening German language proficiency (B1 level) and evaluating opportunities in ADAS/AD systems and requirements engineering.
Discover over 15,000 top freelancers
Statistics of experts using Image Processing
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
3.3 years
Positions per freelancer
10
Top business areas
Product Development, Information Technology, Research and Development
Top industries
Information Technology, Manufacturing, Education
Certification focus areas
Information Technology, Product Development, Quality Assurance
Bachelor's degree or higher
97%
Master's degree or higher
78%
Doctorate
22%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
96%
Based on our profile pool as of 6 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology 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 using Image Processing
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 6 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Image processing turns raw images into usable data. It includes filtering, segmentation, enhancement, detection, measurement, and classification. Companies use it to inspect products, read documents, analyze medical scans, track scenes, and prepare visual data for computer vision systems.
Common tools
- OpenCV for core image operations and pipeline work
- Python with NumPy, SciPy, and scikit-image for fast prototyping
- Pillow for image handling and format work
- TensorFlow or PyTorch when image processing feeds ML models
- OCR and document stacks for text extraction from scans
Where it fits
Strong image processing work shows up in manufacturing, healthcare, retail, logistics, media, and security. Teams bring in specialists when image quality matters, when manual review is too slow, or when existing systems cannot reliably detect defects, objects, documents, or surface changes.
Why companies hire freelancers
Freelance experts are often useful for audits, proof of concept work, model support, and rescue projects. They help debug noisy inputs, tune thresholds, improve preprocessing, and move experiments into stable workflows. They are also valuable when a team needs short-term depth without adding long-term overhead.
What good experts do
Good professionals know more than filters and edges. They understand image formats, color spaces, noise, lighting, camera distortion, and the tradeoff between classical methods and ML-based approaches. They write clear code, document assumptions, and test results against real-world input.
Signals and outcomes
A company usually needs image processing expertise when outputs vary with lighting, blur, compression, or device differences. The right specialist can turn inconsistent image data into reliable steps for inspection, search, detection, or classification, and can explain where accuracy depends on input quality versus algorithm choice.
Frequently asked questions
Need clarity? These are the questions we hear most often about Image Processing.
Image processing is used to clean, transform, and analyze visual data before it reaches a human or another system. Common uses include defect inspection, document reading, medical image analysis, and preparing images for computer vision. It is the layer that makes raw pixels useful.
Image processing focuses on transforming and measuring images, while computer vision usually aims at higher-level interpretation such as object recognition or scene understanding. The two overlap heavily in practice. Many projects use image processing as the first step before vision models or OCR.
A strong image processing specialist usually works with OpenCV, Python, NumPy, Pillow, and scikit-image. For production pipelines, they may also use TensorFlow or PyTorch when image steps feed a model. In document work, OCR tools and PDF handling often matter as well.
A good image processing freelancer should understand data quality, camera and lighting effects, testing, and basic machine learning. For many projects, knowledge of OCR, annotation workflows, or deployment in Python services is also useful. The best experts can explain both the algorithm and the tradeoff.
A simple image processing task may only need a specialist who can tune filters, resize pipelines, or fix file handling. Harder work, such as inspection under changing lighting or medical image analysis, needs deeper experience with evaluation and failure modes. The more real-world variation there is, the more important senior judgment becomes.
Bring in image processing expertise when a project is blocked by noisy inputs, uncertain accuracy, or legacy code that no one wants to touch. Freelancers are also a good fit for short discovery phases and focused rescue work. They can help define the right approach before a larger build begins.
Yes, image processing work is often remote because most tasks depend on image files, code, and test data. On-site time can help when input quality depends on devices, cameras, production lines, or lab equipment. Many teams use a mix: remote development with occasional on-site review.
Look for clear reasoning, not just code. A strong image processing specialist can show how they handled noise, blur, lighting changes, and false detections, and can explain why a method fits the problem. Good signs are reproducible tests, readable pipelines, and honest discussion of limits.
The average hourly rate of freelancers who have used Image Processing in their recent projects is 83 €, which corresponds to a daily rate of about 668 € based on an 8-hour working day.
Of the freelancers who have used Image Processing in their recent projects, 97% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers who have used Image Processing in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers who have used Image Processing in their recent projects are German (100%), English (96%), and French (23%).
The most common industries among freelancers who have used Image Processing in their recent projects are Information Technology (70%), Manufacturing (56%), and Education (51%).
The most common business areas among freelancers who have used Image Processing in their recent projects are Product Development (92%), Information Technology (82%), and Research and Development (73%).
Main locations of FRATCH Experts, who have recently used Image Processing
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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FRATCH CEO
