Technical Mentoring
& Team Training
Work with Andrei on technical skills, judgement, and practical use of AI. Choose individual mentoring or a team workshop, agree a learning goal, and practise on tasks relevant to your work.
The work
Build skills through practice and feedback.
Individual technical mentoring
Work through architecture, code quality, debugging, security, or leadership questions. Set a goal, apply the feedback, and review progress through agreed sessions.
AI for engineering teams
Define tasks, provide project context, and work with coding assistants and agents. Practise reviewing changes, running tests, checking assumptions, and handling data access and permissions.
AI for business teams
Choose useful tasks, give clear instructions, and check outputs against sources. Practise handling company data, applying review steps, and measuring time, quality, and cost.
Practise, review, and follow through
For engineers, technical leads, founders, and business teams. Agree the current experience, the problem to work on, and the result you want from the sessions. Topics can include software architecture, code review, debugging, secure development, technical leadership, and practical AI use. Workshops can cover contract development, contract security testing, and private computing within the agreed expertise and learning goals.
Use permitted examples from daily work to practise the method. Review the reasoning and results, identify mistakes, and record actions to try next. A useful completion criterion is that the participant can repeat the workflow, inspect the output, and identify when help is needed.
Illustrative workflow
A team learns to review an AI-generated code change
- 01
Define the learning goal
Agree a bounded task, the expected behaviour, and which data and actions are permitted.
- 02
Practise on real tasks
Give the assistant relevant context and prepare a small change in a practice branch.
- 03
Review the result
Review the diff and test results. Explain the changes and identify unsupported assumptions.
- 04
Plan the next step
Repeat the workflow, explain the review steps, and agree what to practise next.
Illustrative training plan. Topics, access, exercises, and follow-up are agreed for each engagement.
What you receive
A practical method and a plan to keep improving.
Agreed learning goals, topics, and session or workshop scope.
Practical sessions adapted to the participants’ experience and tasks.
Exercises, reviews, and feedback using permitted work examples.
Working guides or checklists for the methods practised.
A written action or practice plan with clear next steps.
A progress review and agreed follow-up where included in scope.
Engagements & pricing
Clear starting prices.
Start with a defined review, workshop, or monthly service. We agree the scope, availability, deliverables, and final price before work begins.
One-off engagement
Practical AI Team Workshop
From€1,000
- One remote two-hour workshop for up to eight participants.
- Preparation around two agreed tasks using approved examples.
- Practical exercises and a short written action plan.
On-site delivery, additional sessions, and implementation are quoted separately.
Discuss this engagementStarting prices cover the scope shown. Other services and larger scopes are quoted separately.
Prices are in EUR, excluding VAT where applicable. Travel and third-party usage costs are agreed separately.
The founder
Andrei “Pax” Popa
Andrei “Pax” Popa is the founder of PaxDynamics. His background spans technical leadership, AI products, distributed systems, and security. He connects product decisions with implementation, integration, and operation.
Meet the founderBefore we start
Who is the mentoring for?
Engineers, technical leads, and founders who want to develop skills or work through a recurring technical challenge. Start with the person’s current experience, responsibilities, and learning goal.
How does mentoring differ from a focused technical consultation?
Mentoring develops skills and judgement through practice, feedback, and progress reviews. A focused technical consultation examines a specific decision and produces options, recommendations, and written next steps. Both start with an agreed scope.
Can we arrange AI training without an implementation project?
Yes. Dedicated workshops can help engineering or business teams practise AI workflows. AI Adoption & Engineering covers use-case selection, pilots, integrations, and operation; an implementation engagement can still include the training needed for handover.
What should we prepare before a session?
Share the goal, current experience, questions, and relevant examples you are permitted to use. Agree any preparation, data access, exercises, and written follow-up before the session.
Can mentoring continue over several sessions?
Yes. Agree the frequency, availability, preparation, and follow-up around a defined goal. Review progress and adjust the practice plan as the person or team develops.
How does this relate to fractional CTO work?
Mentoring focuses on developing a person’s or team’s skills and judgement. A fractional CTO engagement assigns technical leadership responsibilities, decision authority, and delivery oversight. The role and time commitment are agreed separately.
Contact
Discuss mentoring or team training
Tell us your goal, context, and constraints. For a focused technical consultation, we agree the question, preparation, session scope, and written next steps before work begins.
Discuss your project