Build smarter with AI
Practical AI solutions that solve real business problems — from intelligent chatbots to predictive analytics and custom ML models.
AI Services
From proof of concept to production — I build AI systems that integrate cleanly into your existing stack.
Natural Language Processing
Text classification, sentiment analysis, entity extraction, and document understanding — turn unstructured text into actionable data.
Computer Vision
Image recognition, object detection, and visual inspection systems built on modern vision models.
AI-Powered Automation
Embed LLMs into your workflows for content generation, classification, routing, and decision-making at scale.
Chatbots & Assistants
Custom AI assistants trained on your data — for customer support, internal knowledge bases, or product features.
Predictive Analytics
Forecasting models, anomaly detection, and recommendation engines that turn your historical data into future insights.
AI Strategy & Consulting
Not sure where AI fits in your product? I help you identify high-ROI opportunities and build a realistic roadmap.
How it Works
A focused 4-step approach from problem definition to deployed AI system.
Problem Definition
We identify the exact business problem, define success metrics, and decide if AI is actually the right tool — not everything needs a model.
Data & Architecture
I assess your data, design the model architecture or prompt strategy, and map out the integration points.
Build & Evaluate
I build, test, and iterate on the model or pipeline — evaluating quality against your defined success criteria before touching production.
Deploy & Monitor
I deploy the system, set up monitoring for drift and performance, and document everything so your team can maintain it.
AI & Machine Learning Insights
Practical AI guides for founders and builders — no PhD required.
Frequently Asked
Do I need a lot of data to get started?
Not always. For LLM-based solutions (classification, generation, assistants), you can often get started with a few dozen examples. For custom ML models, requirements vary — I'll tell you upfront if your data isn't sufficient.
Which AI frameworks and APIs do you use?
I work with OpenAI, Anthropic, and open-source models (Llama, Mistral). For ML pipelines I use Python with scikit-learn, PyTorch, and Hugging Face. I integrate with your stack via APIs.
How do you handle data privacy?
For sensitive data, I prioritize on-premise or private cloud deployments using open-source models. I never send client data to third-party APIs without explicit sign-off.
What if the model doesn't perform well enough?
I set clear performance benchmarks before starting and iterate until we hit them. If a goal turns out to be technically infeasible with your data, I'll tell you early — not after weeks of work.
Start an AI Project
Tell me the problem you're trying to solve and I'll come back with a concrete approach. Free 30-minute scoping call.
Contact Information
Location
Casablanca, Morocco