Blessed Thompson Computer Sciences (including AI/ML, Automations)
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I am a Computer Engineer with a sharp focus on Cybersecurity, AI agents, and intelligent automation. I don’t teach theory for theory’s sake—I teach how systems actually work, how they fail, and how to build them stronger.

My background spans Python, AI-driven automation, LLM-based assistants, computer vision, and applied cybersecurity. I’ve led research and IoT integrations, built real-world prototypes (including campus-scale AI assistants and facial recognition systems), and I train students to think like engineers, analysts, and defenders—not button-clickers.

My teaching style is structured, logical, and uncompromisingly clear. I break complex ideas into first principles, challenge weak assumptions, and guide students to mastery through hands-on projects and disciplined thinking. Whether you’re starting from zero or aiming to build production-grade systems, I meet you where you are—and move you forward fast.

What I teach:

>Python (from fundamentals to automation)

>Cybersecurity (concepts, threat thinking, defensive design)

>AI & Machine Learning foundations

>AI Agents & Workflow Automation

>Systems thinking for engineers and technologists

If you want shortcuts, I’m not your tutor.
If you want clarity, competence, and control, we’ll do great work together.

Subjects

  • Python Beginner-Expert

  • Artificial intelligence and machine learning Beginner-Expert

  • Automations Beginner-Expert


Experience

  • AI Engineer (Mar, 2026Present) at Savannah by commit, Isreal
  • Teacher (Jun, 2023Present) at Computer Science Teacher at BOMS school, Akwa Ibom. AI/ML tutor at Netisens Tech Hub, Uyo
    As a Computer Science/AI/ML teacher, I am responsible for inspiring and educating students in the fundamentals of computer science, artificial intelligence, and machine learning. My role involves designing and delivering engaging lesson plans, projects, and activities that foster critical thinking, problem-solving, and creativity in students.

    Key Responsibilities:

    - Teach computer science, AI, and ML concepts to secondary school students
    - Develop and implement curriculum-aligned lesson plans and projects
    - Encourage students to think critically and develop problem-solving skills
    - Provide individualized support and feedback to students
    - Stay updated with the latest developments in computer science, AI, and ML
    - Foster a collaborative and inclusive learning environment

Education

  • Bachelor of Engineering (Oct, 2021now) from Topfaith University, Mkpatak

Fee details

    100,000300,000/month (US$72.90218.71/month)

    My hourly fees vary based on subject and level:

    Computer Science & Python Programming: ₦3,000/hr for beginners, ₦4,500/hr for undergraduates, and ₦6,000/hr for advanced learners (algorithms, projects, AI concepts).

    Artificial Intelligence/Automations & Machine Learning: Introductory classes (Python libraries, ML basics) start at ₦4,000/hr. Advanced classes (deep learning, automation, model training) are ₦5,500–₦6,000/hr.

    Physics (Mechanics, Electromagnetism, etc.): Secondary school level at ₦3,000/hr. University-level physics ranges from ₦4,000–₦5,000/hr.

    Weekly packages (36 hrs/week) typically range from ₦100,000 to ₦200,000, depending on the chosen subject and depth of study. Discounts are available for monthly plans or group classes.


Courses offered

  • AI Automations

    • 300000
    • Duration: 6 Months
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Nigerian Pidgin English
    • Certificate provided: No
    This course teaches how to design and build AI-powered automations that replace repetitive human work with intelligent systems. Students learn to connect AI models, APIs, and workflows to automate tasks such as data handling, messaging, decision-making, and business operations. The focus is practical and hands-on: understanding how automations think, how they fail, and how to deploy systems that are efficient, reliable, and scalable in real-world environments.

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