Peter Okoth Otieno

2 Years Teaching on Lessonface
C++, Coding, CSS, JavaScript, PowerShell, Programming, Python, R Programming, Rust, SQL, Thesis Tutoring, Calculus, ACT Math
Lesson Fees
$30.00 / 30 Minutes
Promotions Available
Free trial lesson for new students

About

Peter Okoth
Software Engineer & Educator
Email: [email protected]
GitHub: mlsniperpro
LinkedIn: Peter Okoth

As a passionate software engineer and educator, I bring a blend of hands-on experience in web development, machine learning, and innovative problem-solving to my teaching. With a background in applied mathematics and data science, I have cultivated a deep understanding of algorithms, software design, and AI technologies. My journey spans both academic achievements and real-world professional experience, including leading engineering teams, consulting, and developing cutting-edge AI solutions.

Approach to Teaching:

I am dedicated to helping students build strong foundations in programming and software development through practical, real-world applications. My approach focuses on simplifying complex concepts, hands-on project-based learning, and fostering a collaborative environment where students can confidently ask questions and explore solutions. My goal is to guide students toward mastering both the theory and application of technology, ensuring they can independently solve problems and innovate.

Having worked across multiple industries and developed large-scale distributed systems, I understand the importance of both technical skills and soft skills in becoming a successful engineer. I encourage my students to develop critical thinking, teamwork, and communication, which are essential in today’s fast-evolving tech landscape.

Expertise:

  • Programming Languages: JavaScript, Python, Rust, Solidity
  • Technologies: React, Node, Express, Tensorflow, PyTorch, Docker, Kubernetes, Firebase, AWS, GCP, Cloud Computing, Machine Learning, Deep Learning, Large Language Models, and more.

My experience includes mentoring high school students and integrating computer science curricula, which has honed my ability to break down complex concepts into digestible lessons. I believe in the power of coding to create real-world impact, and my lessons reflect that passion.

Let’s work together to explore the exciting world of programming and technology!

Teaching Style

My teaching style is centered around clarity and simplification of complex concepts. I focus on breaking down topics into smaller, manageable sections that build on one another. By starting with the fundamentals and gradually progressing to more advanced topics, I ensure my students grasp each concept fully before moving forward. I use a mix of interactive coding sessions, problem-solving exercises, and discussions to keep the learning process engaging and effective.

Curriculum

I emphasize project-based learning as the most effective way for students to internalize concepts. Each lesson is structured around real-world examples and applications, ensuring students leave with practical skills that they can apply immediately. I recommend students use free online resources, such as freeCodeCamp for JavaScript and Python fundamentals, and Kaggle for data science and machine learning practice.

For additional reading, I suggest:

  • "You Don’t Know JS" by Kyle Simpson – for JavaScript proficiency
  • "Python Crash Course" by Eric Matthes – for Python beginners
  • "Deep Learning with Python" by François Chollet – for students interested in machine learning and AI

Credentials & Affiliations