Anslem - Science Tutor - Vaughan
1st lesson free
Anslem - Science Tutor - Vaughan

Anslem's profile, diploma and contact details have been verified by our experts

Anslem

  • Rate US$28
  • Response 11h
  • Students

    Number of students Anslem has accompanied since arriving at Superprof

    2

    Number of students Anslem has accompanied since arriving at Superprof

Anslem - Science Tutor - Vaughan
  • 5 (5 reviews)

US$28/hr

1st lesson free

Contact

1st lesson free

1st lesson free

  • Other Sciences
  • Computing

AI Automation Specialist teaching the fundamentals of Generative AI, workflow automation, and intelligent web and mobile application services.

  • Other Sciences
  • Computing

Lesson location

Super Prof

Anslem is one of our best Other sciences tutors. They have a high-quality profile, verified qualifications, a quick response time, and great reviews from students!

About Anslem

Hi, I’m a senior full stack engineer and AI/ML specialist with a background in Computer Science (BSc & MSc) and a postgrad in Blockchain and Back-End Development. I’ve built mobile apps, websites, smart contracts and currently CEO of an AI automation platform. I love helping others learn how to do the same.

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About the lesson

  • Compulsory School
  • Secondary School
  • Higher Education
  • +6
  • levels :

    Compulsory School

    Secondary School

    Higher Education

    Adult Education

    Master

    Doctorate

    Other

    MBA

    Pre-School

  • English

All languages in which the lesson is available :

English

My Tutoring Approach & Knowledge Sharing

As an AI Automation Specialist and tutor, my approach centers on clarity, practicality, and adaptability. I believe that technical education shouldn't just teach how to code an AI solution, but also why specific architectures are chosen and how they drive real-world business efficiency.

My ultimate goal is to bridge the gap between traditional software development and intelligent, automated ecosystems, equipping you to build autonomous, production-ready solutions.

Teaching Methodology & Techniques

Foundation First: I ensure students master the core mechanics before building complex systems. In AI, this means understanding LLM mechanics, prompt engineering principles, token optimization, and vector embeddings before diving into autonomous multi-agent systems.

Project-Based Learning: Every conceptual milestone is reinforced through hands-on development. You won’t just read theory; you will build automated lead generation pipelines, custom RAG (Retrieval-Augmented Generation) knowledge bases, or AI-driven customer support agents.

Layered Scaffolding: I break down modern AI applications into digestible layers—the user interface (Web/Mobile), the AI/Orchestration layer (LangChain, n8n, or custom APIs), and the Data layer (Vector Databases and cloud storage)—teaching you how they interconnect.

Live Coding & Debugging: Together, we will write code and map out automation workflows live. I show you how to handle API rate limits, debug unexpected LLM outputs, monitor token expenses, and navigate developer dashboards efficiently.

Interactive Feedback: Lessons are conversational and highly responsive. Through code reviews, workflow critiques, and collaborative pair-programming, we ensure your solutions are clean, efficient, and scalable.

A Typical Lesson Plan

Session Duration: 60–90 minutes

Format: Live interactive session (Zoom/Google Meet) + post-lesson resource package (code repositories, workflow blueprints, and summaries).

1. Warm-Up (5–10 min)
* Brief recap and Q&A from the previous session.
* Defining clear, actionable learning objectives for the day.


2. Concept Introduction (15–20 min)
* Architectural theory illustrated with diagrams (e.g., explaining semantic search vs. keyword search, or how an AI Agent loops through tools).
* Contextual relevance to current industry demands and enterprise use cases.


3. Hands-On Automation & Coding (30–40 min)
* Building an AI feature or automation pipeline live.
* Deploying and testing using modern AI playgrounds, developer environments, and automation platforms.


4. Wrap-Up and Q&A (10–15 min)
* Troubleshooting student-specific roadblocks.
* Assigning a practical micro-project or workflow optimization challenge for independent practice.


5. Follow-Up Support
Delivery of shared materials, GitHub repository access, execution blueprints, and optional review notes.

What Sets Me Apart as a Tutor

Production-Grade Experience: I bring real-world insights from building and deploying active AI integrations for clients and teams. You will learn industry best practices, security guardrails, and cost-saving techniques—not just textbook tutorials.

Holistic Technical View: I seamlessly connect AI automation with full-stack web and mobile development. You’ll learn how to transform an isolated AI script into a beautifully wrapped, user-facing digital product.

Tool-Driven Ecosystem: I expose learners to the exact industry-standard tooling required to be job-ready or launch a SaaS startup, including Cursor, Make.com, n8n, OpenAI/Anthropic APIs, LangChain, Pinecone, Flutter, and React.

Empathy and Customization: I meet you exactly where you are. Whether you are a traditional software engineer transitioning into AI, a non-technical founder building an MVP, an enthusiast automating your business, or a beginner with passion to learn I adapt the pace and context to your goals.

Who These Lessons Are For

Skill Level: Beginner to Intermediate.
Target Learners:
* Beginners with no previous experience
* University students (CS, IT, Data Science) wanting a practical edge.
* Traditional developers looking to pivot or add AI Engineering to their skillset.
* Startup founders and technical co-founders building AI-powered MVPs.
* Business professionals wanting to automate manual operations using low-code/no-code AI tools.


Core Topics Covered (not limited):
* Generative AI & LLM Fundamentals (OpenAI, Claude, open-source models).
* Prompt Engineering, Function Calling, and Structured Outputs.
* Workflow Automation platforms (Make.com, n8n, Zapier).
* AI Frameworks & Vector DBs (LangChain, LlamaIndex, Pinecone).
* Full-Stack AI Integration (React, Node.js, FastAPI, Cursor).
* Mobile App Development for AI Solutions (Flutter or React Native).

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Rates

Rate

  • US$28

Pack prices

  • 5h: US$142
  • 10h: US$283

online

  • US$25/h

Travel

  • + US$20

free lessons

The first free lesson with Anslem will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 30mins

Details

Contact me to get customized quote

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