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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Expertise Level

PhD-Trained AI Scientist
Provider holds a PhD in AI and Computer Vision with academic backgrounds from MIT and TU Munich, plus industry experience at GE Healthcare.

Tech Stack

Python, PyTorch, AWS & More
Covers a broad range of tools including Python, C++, Docker, PyTorch, Keras, Hugging Face, AWS, and MLFlow — suitable for end-to-end AI and CV pipelines.

Deliverables

Source Code + Docs + Testing
Each engagement includes data preprocessing, model creation, validation, full source code, and documentation — not just a prototype or advice.

Turnaround

7-Day Delivery / 2 Revisions
Standard package delivers within 7 days with 2 included revisions, starting from $850 for consulting and development work.

What You'll Receive

Formats:
Source FilesWritten ReportDigital Files
Delivery Method: Order Manager
Notes: Source code, model files, and documentation are delivered via the order manager. All files are organised and clearly labelled. A summary of the solution, validation results, and usage instructions is included with every delivery. For Advanced tier engagements, a full technical handover document is provided alongside the code.

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

FeatureCoreStandardAdvanced
Delivery Time7 days12 days21 days
Revisions23unlimited
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

Build Your AI & Computer Vision Solution
Build Your AI & Computer Vision Solution

Build Your AI & Computer Vision Solution

Build Your AI & Computer Vision Solution

Extra Information

Why Choose Me

Academic Background:PhD-level training in AI, Computer Vision, and Imaging at MIT and TU Munich
Industry Experience:5 years of applied experience including work at GE Healthcare on medical imaging solutions
Scientific Depth:Strong foundations in mathematics, physics, probability theory, linear algebra, and signal processing — not just code, but the science behind it
Location:Based in London, England

Tools I Use

Languages & Frameworks:Python, C++, PyTorch, Keras, React, HTML, CSS
Infrastructure & MLOps:Docker, Git, AWS, MLflow, Ray, Hugging Face

Perfect For

Ideal Clients:Startups building AI-powered products, Healthcare and medtech organisations, Researchers needing engineering support, Data teams tackling computer vision challenges, Businesses requiring production-grade ML pipelines

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.

Customer Reviews

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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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