Gokhan - Technology tutor - London
Gokhan - Technology tutor - London

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Gokhan will be happy to arrange your first Technology lesson.

Gokhan

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Gokhan will be happy to arrange your first Technology lesson.

  • Rate R1418
  • Response 1h
  • Students

    Number of students Gokhan has accompanied since joining Superprof

    50+

    Number of students Gokhan has accompanied since joining Superprof

Gokhan - Technology tutor - London
  • 4.9 (24 reviews)

R1418/h

Contact
  • Technology

PhD-qualified Principal AI Architect teaches Machine Learning, Python, LLMs and AI agents — university coursework to career change

  • Technology

Lesson location

Ambassador

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Gokhan will be happy to arrange your first Technology lesson.

About Gokhan

I'm Dr Gokhan Guler, a Principal Data & AI Architect designing enterprise data platforms, GenAI and agentic-AI systems for large organisations, and a machine-learning researcher at 3 top universities in the UK. I hold a PhD in engineering and computer science and am certified across AWS, GCP and Azure.

I've taught for over twenty years, including at undergraduate and postgraduate level, and have delivered more than 2,000 hours of one-to-one AI and ML tutoring since 2017. My students have come from Oxford, Imperial College London, UCL, Bristol, Queen Mary, Westminster and Maastricht, among others. Along the way I've produced over 300 tutorials on Python, cloud and AI tools.

What keeps me teaching is the moment a concept that looked impossible suddenly makes sense. I start from wherever you are, use plain language, and get you building something real in the first session — whether that's your first model, a chatbot, or an optimised trading algorithm. Students have ranged from complete beginners to quantitative traders refining production systems.

Away from work you'll find me with my family, who are my biggest supporters in all of this.

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +9
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Undergraduate

    Masters

    Diploma

    Doctorate

    MBA

  • English

Languages in which the lesson is available :

English

I teach Machine Learning, Python and Generative AI to university students (undergraduate to PhD), professionals moving into AI, and quantitative traders and analysts who want to build their own models.

What we work on

Coursework and exams: regression, decision trees, SVMs, neural networks and backpropagation, cross-validation and model evaluation, NLP and computer vision — the theory and the Python/R implementation side by side.
Generative AI and LLM engineering: prompt engineering, transformers, GPT/Gemini/Claude APIs, LangChain and LangGraph, retrieval-augmented generation, AI agents and MCP, fine-tuning, evaluation, and deployment on AWS, GCP or Azure. I also cover the tooling — Cursor, GitHub Copilot, Hugging Face.
Dissertations and final-year projects: scoping a research question, choosing a method, running experiments, writing up results. You build the work; I supervise and challenge it.
Interview preparation for ML engineer, data scientist and AI roles.

Recent student projects: a flight-booking chatbot (scikit-learn, NLTK, Pandas, NumPy); a "Robo Uber" tool with hyperparameter tuning and multi-layer perceptrons; an LSTM comparing Word2Vec and TF-IDF embeddings for an MSc dissertation; ML algorithm implementations in Python and R; a ROS/Turtlesim robotics project.

How sessions run: online with screen-sharing and live coding in Jupyter or Colab. You keep the notebook and notes after every session. The first session is a diagnostic — we map what you need against your deadlines and agree a plan. I reply to messages within a few hours.

Libraries and tools: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Transformers, OpenAI, LangChain, NLTK, Matplotlib, Flask, boto3. Python 3 is my main teaching language; I also work in R, SQL, C, JavaScript and Rust.

I help you understand and build your own work — I write assignments and dissertations with you.

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Rates

Rate

  • R1418

Package rates

  • 5h: R7088
  • 10h: R14177

online

  • R1418/h

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