1. AI Readiness & Adoption Strategy
For companies considering or starting their AI journey
- Assess your current infrastructure and team capabilities
- Identify high-value opportunities for AI and machine learning in your workflow
- Develop a step-by-step, roadmap for successful, sustainable AI adoption
- Coach your IT/data team on the culture shifts needed to succeed with AI
2. Docker & MLOps Enablement
End the “It Works on My Machine!” headaches
- Build reproducible, version-controlled ML development environments with Docker
- Train your team to implement containerization best practices for ML and data science
- Integrate Docker with CI/CD pipelines for smooth, reliable deployments
- Review and optimize your existing ML workflows for scalability and collaboration
3. Private & Secure LLM Deployment
Bring large language models (LLMs) in-house, secure and cost-effective
- Advise on selecting and configuring self-hosted, open-source LLMs (e.g., Llama, Ollama, Mistral)
- Design and implement private AI assistants, chatbots, or knowledge management tools with data privacy in mind
- Assess, plan, and build compliant, on-premises or hybrid LLM infrastructure
- Run workshops: “Your first LLM in a Docker container — live!”
4. Rapid ML Prototyping & Solution Delivery
From proof-of-concept to real business value, without the vendor lock-in
- Fast-tracked pilots: Deploy and test ML systems tailored to your business use-case
- Build secure, scalable APIs for internal or customer-facing AI features
- Fine-tune models on your unique datasets and KPIs
- Handoff or upskill: documentation and training for your staff
5. Training & Technical Coaching
Upskill your team for the AI-driven future
- Hands-on Docker for Data Science workshops
- ML best practices and “real-world” problem-solving seminars
- One-on-one or team coaching for IT and data teams in modern ML operations
- Custom training, from fundamentals to advanced (cloud, MLOps, LLMs, prompt engineering)
How I Work
- Pragmatic, results-focused: I bridge business outcomes with technical excellence
- Flexible engagement: from short-term sprints to ongoing support
- Remote or onsite (as needed)
- Clear communication with documentation and knowledge transfer as standard