Services

$180 / month

Start free, decide later

  1. 1 Free 7-day trial
    No charge until day 7. Cancel anytime.
  2. 2 Ongoing calls + chat
    3 × 45-min calls per month, unlimited Q&A. Replies in 24 hours or less.
  3. 3 No lock-in
    Month to month, no contract.
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About

I’m a Machine Learning Engineer with a PhD in Statistics, currently working in industry for a Formula 1 racing team, specialising in computer vision, deep learning and applied machine learning.

My background spans both research and industry, with experience building ML systems from early experimentation through to practical deployment. I’ve worked across computer vision, representation learning, time-series modelling, reinforcement learning, statistical modelling and ML system design.

I mentor people preparing for Machine Learning Engineer, Computer Vision, Applied Scientist and research-focused roles. I can help with technical interview preparation, ML fundamentals, statistics, system design, project discussions, CV positioning and communicating complex technical work clearly.

My mentoring style is practical and direct. Rather than memorising textbook answers, I focus on helping you reason through technical questions, structure strong interview responses and present your experience in a way that reflects your actual technical ability.

I’m particularly well suited to candidates moving from academia into industry, ML engineers preparing for more senior roles, and candidates interviewing for technically demanding computer vision or applied ML positions.

Areas I can help with include:
• Machine learning and deep learning interviews
• Computer vision interviews
• ML system design
• Statistics and probability
• Research and paper discussions
• CV and project positioning
• Mock technical interviews
• Transitioning from PhD/research into industry

What happens when you start

You tell Anna your goals. They see exactly what you want to work on before session one.

You meet within days. Anna reviews your application and books your first session, usually within a day or two.

You leave with a plan. Concrete next steps and a weekly rhythm from your very first week.

Start your mentorship