Service
AI & Machine Learning
Practical AI features and ML models inside real products
I put AI to work where it removes real effort, not as a gimmick bolted on the side.
That means features wired into the exact moment a decision is made: drafting, search, summaries, classification, and automation, each given tight, structured context so the output stays on topic and every suggestion is a draft a human confirms. I work across Anthropic Claude, OpenAI, and Google Gemini, and I have shipped this in production, including the backend of an AI marketing and CRM platform that orchestrates a team of AI agents with usage-based billing.
On the applied ML side I take a problem from raw data through a trained, evaluated model, the same discipline behind my peer-reviewed research on eye-disease detection with transfer learning. I favour approaches whose behaviour can be inspected over opaque end-to-end models, especially for anything sensitive.
Starting from
$1,800
per project · depends on data and model scope
What’s included
AI features wired into your product's real actions
LLM integration with tight, structured context and guardrails
Retrieval and semantic search over your own content
Applied ML: data prep, training, and honest evaluation
Cost control: prompt caching and usage metering
Clear notes on limits and how to extend it safely
What you get
- Working AI features in your app
- An evaluated model or pipeline where relevant
- Documentation on prompts, limits, and costs
Ideal for
Teams who want AI that earns its place by removing busywork, not adding a new thing to manage.
Typical stack
Ready to build your ai & machine learning?
Send me a short brief or just an idea. I’ll reply with a plan, a timeline, and clear next steps.