PhD-level AI engineer — formerly MIT, TU Munich & GE Healthcare — delivering production-ready machine learning, computer vision and data science solutions tailored to your project, based in London.
I Will Build Your AI & Computer Vision Solution
A focused AI or computer vision solution covering the full development cycle for a single, well-defined problem.
- Research and problem scoping
- Data preprocessing and preparation
- Custom model creation
- Model validation and testing
- Clean, commented source code delivered
- Model documentation included
Expanded scope for more complex projects — deeper research, more extensive validation, and priority turnaround.
- Everything in Core
- Extended research phase for more complex problems
- Multi-stage model validation and performance benchmarking
- Broader data preprocessing pipeline
- Enhanced source code with integration guidance
- Priority order handling and faster response in order chat
Full-scope AI and computer vision development for demanding, multi-component or production-grade projects.
- Everything in Standard
- Full end-to-end pipeline: research through to deployable solution
- Advanced model architectures and hyperparameter optimisation
- Comprehensive testing suite and edge-case validation
- MLOps-ready delivery (Docker, AWS, MLflow or Ray where applicable)
- Detailed technical documentation and handover notes
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What You'll Receive
Full Description
Whether you need a working computer vision prototype, a custom machine learning model, or end-to-end data science support, you are working with a PhD-level scientist and engineer with five years of hands-on experience across artificial intelligence, computer vision, signal processing, and neuroinformatics — with a particular depth in healthcare and medical imaging applications.
This is not a template service. Every solution is researched, built, validated, and documented specifically for your project. The work draws on strong scientific foundations in mathematics, physics, probability theory, linear algebra, and applied machine learning — the kind of grounding that separates robust production code from fragile prototypes.
**What Is Included**
Each engagement covers the full development lifecycle: initial research to understand your problem and the state of the art, data preprocessing to get your inputs into a usable form, model creation using the most appropriate architecture for your task, rigorous model validation and testing to ensure it performs as expected, clean commented source code you can maintain and extend, and thorough model documentation so you understand exactly what has been built and why.
**How It Works**
After placing your order, share your project details via the order chat — the more context you provide, the faster the work can begin. The initial consultation is built into the process; if anything is unclear, you will be contacted directly through the order manager before work commences. Revisions are included in every tier so you can refine the output until it meets your requirements.
**Technologies Used**
Python, C++, Docker, Git, Hugging Face, PyTorch, Keras, AWS, MLflow, Ray, HTML, CSS, React — the full modern AI and MLOps stack, applied at PhD level.
**Who This Is For**
Startups and scale-ups building AI-powered products. Healthcare and medtech organisations needing imaging or signal processing expertise. Researchers who need engineering support to move from idea to working code. Data teams tackling computer vision challenges they have not encountered before. Anyone who needs a serious, credentialled engineer rather than a generalist.
**Why This Seller**
Academic training at MIT and TU Munich, combined with applied industry experience at GE Healthcare, means you receive both rigorous scientific thinking and practical engineering judgment. Problems are solved properly — not just patched — because the seller understands the underlying mathematics and can reason about your specific domain, not only the code.
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Compare Packages
| Feature | Core | Standard | Advanced |
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 21 days |
| Revisions | 2 | 3 | unlimited |
| Research and problem scoping | ✓ | ✕ | ✕ |
| Data preprocessing and preparation | ✓ | ✕ | ✕ |
| Custom model creation | ✓ | ✕ | ✕ |
| Model validation and testing | ✓ | ✕ | ✕ |
| Clean, commented source code delivered | ✓ | ✕ | ✕ |
| Model documentation included | ✓ | ✕ | ✕ |
| Everything in Core | ✕ | ✓ | ✕ |
| Extended research phase for more complex problems | ✕ | ✓ | ✕ |
| Multi-stage model validation and performance benchmarking | ✕ | ✓ | ✕ |
| Broader data preprocessing pipeline | ✕ | ✓ | ✕ |
| Enhanced source code with integration guidance | ✕ | ✓ | ✕ |
| Priority order handling and faster response in order chat | ✕ | ✓ | ✕ |
| Everything in Standard | ✕ | ✕ | ✓ |
| Full end-to-end pipeline: research through to deployable solution | ✕ | ✕ | ✓ |
| Advanced model architectures and hyperparameter optimisation | ✕ | ✕ | ✓ |
| Comprehensive testing suite and edge-case validation | ✕ | ✕ | ✓ |
| MLOps-ready delivery (Docker, AWS, MLflow or Ray where applicable) | ✕ | ✕ | ✓ |
| Detailed technical documentation and handover notes | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.

Build Your AI & Computer Vision Solution


Build Your AI & Computer Vision Solution

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Frequently Asked Questions
The more context the better. Please share a description of your problem, any datasets you have (or access to them), your target outcomes, and any technical constraints such as preferred language, framework, or deployment environment. Everything is discussed securely through the order chat.
This is discussed openly before significant work begins. After reviewing your project details, if the scope clearly requires a higher tier or a custom arrangement, this will be raised with you in the order chat before proceeding so there are no surprises.
For most projects, yes — your own data produces the most relevant and accurate model. If you do not have data, this can be discussed; in some cases publicly available datasets or synthetic data generation may be appropriate depending on your use case.
You receive clean, commented Python (or C++ where relevant) code that runs your solution end to end. This includes any preprocessing scripts, model training and inference code, and evaluation routines — delivered so that a competent developer on your team can understand, maintain, and extend it.
Once the initial delivery is made, you review the output and raise any changes or corrections through the order chat. Revisions address the agreed scope — not new features or significant scope changes, which would be treated as a separate engagement.
The primary areas of depth are healthcare, medical imaging, signal processing, and neuroinformatics — though the underlying AI and computer vision engineering applies broadly across industries. If you are unsure whether your project fits, describe it in your order requirements and it will be assessed honestly.
Yes. Part of the Core engagement is a research and scoping phase. If your problem is not yet fully defined, the early work will help clarify requirements and propose an appropriate technical approach before implementation begins.
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Amazing work! I can’t say enough great things about his approach, mastery and overall delivery of the project and work product(s).
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