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

Let's talk!