Serhii B.  tutor  Business Coaching online

Serhii B.

10 $/h.
10 $/h.

Data Science, Machine Learning, Neural Networks: Reinforcement Learning and Quantum Optimization in Python. Variational calculus for QAOA in VRP problems. Functional analysis. Forecasting γ, β using A2C algorithm and MLMVN neural network. Implementation on QOKit simulator (JP Morgan Chase). Creating DeepTech startups for international competitions.

Serhii B.

Data Science, Machine Learning, Neural Networks: Reinforcement Learning and Quantum Optimization in Python. Variational calculus for QAOA in VRP problems. Functional analysis. Forecasting γ, β using A2C algorithm and MLMVN neural network. Implementation on QOKit simulator (JP Morgan Chase). Creating DeepTech startups for international competitions.

Subjects

Business Coaching

Calculus

Computer Programming

Data analysis

Math

Precalculus

Python programming

Business Coaching

Teaching levels

  • Specialized courses

Calculus

Teaching levels

  • Advanced

Computer Programming

Teaching levels

  • Specialized courses

Data analysis

Teaching levels

  • Specialized courses

Math

Teaching levels

  • Advanced

Precalculus

Teaching levels

  • Advanced

Python programming

Teaching levels

  • Specialized courses

Lessons may take place

At students’ place:
No
At tutors' place:
No
Online:
Yes

About:

I will help you quickly master the technology stack: RL · MLMVN · QAOA.
I will prepare you for Reinforcement Learning certification.
Together we will build a real business-grade AI application in Python.

I offer you full immersion in a production-level course in Machine Learning, Data Science, and Quantum Optimization.

After the course, you won’t just be “a good ML engineer”.
You will become a specialist who knows how to formulate problems at the intersection of classical and quantum worlds, understands when and how to use QAOA / RL / hybrids, and can defend it as a serious project.
This is already the level of an entry/mid-level DeepTech specialist in one of the most promising niches of 2026–2035.
Ready for such a leap? 🚀

I am your:

- business trainer for projects with RL · QAOA · MLMVN stack;
- guide in the EdTech4DeepTech segment;
- examiner for defending your portfolio;
- scientific supervisor;
- consultant & architect of the optimal skill development trajectory in machine learning and quantum optimization.

My goal - together with you - is to create your strong DeepTech portfolio and prepare you to defend it successfully.
I also prepare teams for participation in international startup competitions - full incubation cycle.
Duration of the certified course: 6 months
5 lessons per week, 2 hours per lesson
Total: 240 hours

My experience in designing DeepTech startups and participating in international business incubators - more than 6 years:

- semi-finalist of the international startup competition Technovation Challenge (San Francisco) — 2017 & 2021

- finalist of the international startup competition Social Impact Award (Vienna) — 2021

I coordinate the neuroengineering project "DeepNoesa"

Finalist of the international quantum competition Industrial Challenge 2025 (Washington)

Education:
Zaporizhzhia State Engineering Academy, Master’s Degree, 1999
Age:
46-55
Experience:
more than 5 years