You will get Computer Vision, Software Development and Deep Learning
Top Rated
Top Rated
Project details
You will get high-quality computer vision tooling, dataset optimization, and model training tailored to your project. I specialize in improving labeling workflows, generating high-value datasets, and fine-tuning models like YOLO, Faster R-CNN, and DETR for real production use. With strong experience in both engineering and applied machine learning, I deliver reliable, well-documented solutions that reduce manual effort, speed up development, and improve model performance from day one.
Machine Learning Tools
ArcGIS, MLflow, NumPy, OpenCV, pandas, Python, PyTorch, scikit-learn, SciPy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$80
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 1 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 0 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $300
Additional Revision
+$40
Additional Model Variation
(+ 3 Days)
+$50
Additional Scenario
(+ 3 Days)
+$100
Additional Graph/Chart
(+ 1 Day)
+$20
Model Documentation
(+ 2 Days)
+$50
Data Source Connectivity
(+ 3 Days)
+$80
Web/Desktop app development
(+ 10 Days)
+$450
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Hassan B.
May 1, 2026
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Mighty P.
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I had the pleasure of working with Tomas who helped me adapt a unique solution I needed to handle asap. I look forward to working with him in my upcoming needs.
About Tomas
Computer Vision & Deep Learning Engineer
100%
Job Success
Valencia, Spain - 10:05 pm local time
I specialize in end-to-end computer vision solutions, taking ownership of everything from data and model performance to system reliability and deployment.
What I help clients build
Real-time computer vision systems (detection, tracking, segmentation)
Custom deep learning models (CNNs, Transformers, U-Net variants)
Medical image analysis (retinal imaging, segmentation, diagnostics support)
Agricultural computer vision (crop analysis, monitoring, automation)
Industrial & inspection systems (quality control, defect detection)
Training pipelines & ML automation (data processing, reproducibility, CI-ready workflows)
Why clients hire me
5+ years of software engineering experience, plus deep specialization in Computer Vision & ML
Applied CV experience across multiple industries (medical, agriculture, industrial, AR research)
Master’s degree in Computer Vision, thesis focused on retinal choroid segmentation
Strong focus on production-quality code, documentation, and maintainability
Comfortable working beyond the model: APIs, pipelines, backend integration, deployment
Tech stack
ML & CV: Python, PyTorch, TensorFlow, OpenCV
Vision tasks: Detection, segmentation, tracking, image processing and analysis, stereo calibration
Backend: Python, FastAPI, Java, Spring Boot, C#
Frontend & tools: TypeScript, JavaScript, Qt
Data: PostgreSQL, MySQL
DevOps & MLOps: Docker, CI/CD
Testing: Automated & end-to-end testing (WebdriverIO)
How I work
I don’t just deliver a model — I deliver a working system.
I focus on:
Clear requirements
Measurable performance
Clean, maintainable code
Honest communication and ownership
If you need a reliable computer vision engineer who can take a system from idea to production, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Tomas can start the project.
Delivery time starts when Tomas receives requirements from you.
Tomas works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements
You share your requirements, goals, and any existing data or tools.
Data collection & Analysis
I analyze your pipeline and data and define the optimal improvements or model-training plan.