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MH

Services

What I build.

From intelligent models to production-ready applications and automated business workflows — eight service lines that combine into complete products.

01

AI & Machine Learning

Custom machine learning and deep learning solutions — model training, evaluation, optimisation and deployment behind an API you can actually call.

  • Classification
  • Regression
  • Deep Learning
  • Model Training
  • Model Evaluation
  • Inference APIs
Typically from
$450USD
Timeline
1 — 3 weeks
02

Computer Vision

Vision systems that read the real world: detection and tracking, document and face analysis, and the fraud signals that sit on top of them.

  • Object Detection
  • YOLO
  • OCR
  • Face Analysis
  • ID Verification
  • Spoof Detection
  • Deepfake Detection
  • Video Analysis
Typically from
$600USD
Timeline
2 — 5 weeks
03

LLM & Generative AI

Applications built on language models — retrieval-augmented assistants, agents and tool use, grounded in your data rather than model recall.

  • LLM Applications
  • RAG
  • AI Assistants
  • AI Agents
  • LangChain
  • LangGraph
  • MCP Servers
  • Local LLMs
Typically from
$500USD
Timeline
1 — 4 weeks
04

AI Automation & Agents

Workflows that remove the manual middle step — email, CRM, content and publishing operations wired together and run by agents.

  • n8n
  • AI Agents
  • API Automation
  • CRM Automation
  • Email Automation
  • Content Automation
  • Multi-step Workflows
Typically from
$300USD
Timeline
3 days — 2 weeks
05

Data Engineering & Analytics

Pipelines and warehouses that turn scattered operational data into something a dashboard — or a model — can trust.

  • ETL / ELT
  • Data Warehouses
  • SQL
  • SSIS
  • Power BI
  • Data Pipelines
  • Forecasting
  • Data Modeling
Typically from
$400USD
Timeline
1 — 4 weeks
06

Backend Development

APIs and services designed to be operated: clear contracts, real validation, sensible auth and jobs that survive failure.

  • Python
  • FastAPI
  • Django
  • REST APIs
  • PostgreSQL
  • MySQL
  • MongoDB
  • Authentication
  • Background Jobs
Typically from
$350USD
Timeline
1 — 4 weeks
07

Full-Stack Development

Complete products — the model, the API and the interface people actually use — shipped as one coherent application.

  • React
  • Next.js
  • TypeScript
  • Python Backends
  • Dashboards
  • SaaS Applications
  • AI-Powered Web Apps
Typically from
$600USD
Timeline
2 — 6 weeks
08

DevOps & Integration

Getting it live and keeping it there: containers, pipelines, deployments and the integrations that connect your stack together.

  • Docker
  • GitHub
  • CI/CD
  • API Integrations
  • Deployment
  • Infrastructure Automation
Typically from
$250USD
Timeline
3 days — 2 weeks

Prices are indicative starting points for a scoped piece of work. A firm quote follows a short scoping call — no obligation.

Engagement

Three ways to work together.

Pick the shape that fits the problem — none of them lock you into the wrong one.

Hourly

$20/ hour

For exploratory work, ongoing support and anything where the scope is still moving. Tracked and reported honestly.

  • No minimum commitment
  • Time tracked and reported
  • Ideal for iterations and support

Fixed project

Scoped

For a defined deliverable with a clear finish line. Scoped up front, priced once, delivered against a written spec.

  • Indicative from-prices per service
  • Scoped and quoted before work starts
  • Milestone-based delivery

Monthly retainer

Scoped

For teams who need consistent AI and automation capacity month to month rather than one-off builds.

  • Reserved weekly capacity
  • Priority turnaround
  • Rolling backlog, monthly review

How I work

Four steps from problem to production.

No black boxes. You see the reasoning, the architecture and the trade-offs at every stage.

01

Understand

Understand the business problem, the requirements, the users and the constraints — before a single line of code is written.

02

Design

Design the architecture, the workflow, the data pipeline and the AI approach, with the trade-offs made explicit.

03

Build

Develop, integrate, test and iterate — in visible increments rather than one long silence.

04

Deploy

Ship the solution, document how it works, and stay available for the questions that come after launch.

Infrastructure

Model training runs on my own hardware

An RTX 3080 Ti with 12 GB of VRAM sits on my desk, which means training, fine-tuning and long experimental runs happen locally — without renting cloud GPUs by the hour or passing that cost on to you.

NVIDIA RTX 3080 Ti12 GB VRAM · local training
  • Local training and fine-tuning without hourly cloud GPU cost
  • Fast iteration on detection, vision and deep learning models
  • Local LLM inference and quantised model evaluation
  • Cloud training still available when a job genuinely needs more

You own everything

Code, models, weights, workflows and documentation are handed over. No lock-in, no hosting hostage.

Visible increments

You see working pieces as they land rather than a long silence followed by a big reveal.

Written down

Architecture decisions, trade-offs and how to run it are documented — so the next engineer is not stuck.

Work with me

Hire me where it suits you.

Same engineer, same standard — pick the platform that fits how your team contracts.

Upwork

Hire me for AI engineering, automation, LLM, data and full-stack projects — contract-protected, milestone based.

View Upwork Profile

Fiverr

Explore packaged AI, automation, LLM and development services with a defined scope and turnaround.

View Fiverr Profile

Direct

Prefer to skip the platforms? Message me on WhatsApp and we can scope it in a single conversation.

Chat on WhatsApp

Let’s build

Have an idea that needs AI?

Whether you need an AI model, an automation workflow, a data pipeline, a backend system or a complete AI-powered product — let's build it.