Hire an AI Developer
AI engineer with production experience in LLMs, RAG, computer vision, and on-device ML. I build AI features that actually ship — not demos that only work on stage.
Why Hire Me
What you get when you bring me onto your project.
Production LLM Integrations
GPT-4/5, Claude, Gemini, Llama, Mistral — integrated into real apps with streaming, error handling, rate limiting, and cost monitoring.
RAG & Vector Databases
Retrieval-Augmented Generation with Pinecone, Weaviate, Qdrant, pgvector. Chunking strategies, re-ranking, hybrid search — the full RAG stack.
On-Device Inference
CoreML, TFLite, ONNX Runtime on mobile. Privacy-first AI that runs without a server and without a recurring API bill.
Computer Vision & NLP
OCR, face recognition, object detection, document intelligence. Custom models trained and deployed with TensorFlow and PyTorch.
Privacy & Cost-Conscious
I design AI features with your data, your users, and your budget in mind. Prompt caching, model distillation, and fallback strategies baked in.
From Prototype to Product
I speak both languages — research and production. I turn Jupyter notebooks into shipped features with monitoring, CI, and graceful degradation.
AI Tech Stack
The tools, libraries, and patterns I use every day.
When to Hire Me
Common scenarios where clients bring me in.
AI Copilot for Your App
Add a Cursor-style or Copilot-style assistant to your product — context-aware, streaming, multi-turn.
RAG Knowledge Base
Turn your docs, tickets, or database into a searchable AI assistant that answers with citations.
On-Device ML Feature
Privacy-preserving AI that runs offline on iOS/Android — no server, no API bill, no data leakage.
Document Intelligence
Extract structured data from PDFs, invoices, contracts, IDs. Production-grade OCR + LLM parsing.
Computer Vision App
Object detection, face recognition, OCR, medical imaging — mobile or server, real-time or batch.
LLM Cost & Latency Audit
Your GPT bill is too high? Your streaming feels slow? I audit prompts, caching, and model choice.
My Process
From first call to launch — here is how we work together.
Discovery
Deep-dive call to understand your goals, users, and constraints. I ask the hard questions early so we ship the right thing.
Design & Architecture
Wireframes, data models, and tech stack locked in. You review and sign off before a single line of code.
Build
Iterative sprints with weekly demos. You always know what's shipping — no black box, no surprises at the end.
Test & Refine
Automated tests, device matrix, performance profiling. We catch issues before your users ever see them.
Launch & Support
App Store submission, deployment, monitoring. I stay available for fixes and iteration after go-live.
Engagement Options
Choose the model that fits your scope and flexibility needs.
Fixed-Scope Project
Clear requirements, one lump sum
Best for: MVPs, feature builds, launches with defined specs
- Agreed scope & deliverables up-front
- Weekly progress demos
- Predictable timeline & cost
- Post-launch warranty period
Hourly / Time & Materials
Flexible scope, billed as we go
Best for: Exploratory work, ongoing feature development
- Flexible scope changes mid-project
- Weekly time reports
- Pay only for hours worked
- Scale engagement up or down
Monthly Retainer
Dedicated capacity, month-over-month
Best for: Long-term partners, in-house team extension
- Reserved hours each month
- Priority access & faster turnaround
- Discounted effective rate
- Covers dev + consulting time
Common Questions
Answered before we even hop on a call.
Let's Build Your AI Feature
Book a free 30-minute call. I will scope your project and send a detailed proposal with timeline within 48 hours.
Typically responds within a few hours, UK / EU / ME / US-East hours.