APLAB.ACADEMY · ABOUT
§A · CREATOR

Making AI and complex mathematics intuitive.

When I was a mathematics researcher studying inverse problems at the Institute of Computational Mathematics, I noticed something troubling: brilliant ideas often remained trapped in technical papers that few could understand.

This observation shaped my professional journey — from solving complex mathematical puzzles in acoustics and geophysics, to architecting knowledge systems for AI characters at Inworld AI, to creating AP Lab Academy through AP Lab as a platform where advanced technical concepts become intuitive through visualization.

Today, I lead knowledge and memory system development for AI agents used by companies like Ubisoft, Sony, and Microsoft. My work focuses on AI systems that respond intelligently in real time — reducing response times from 600 ms to 200 ms while improving quality by 15%.

PORTRAIT · v1.0
AP
ALEKSEI PRIKHODKO
CREATOR CARDv1.0
RoleML Engineer · Educator
FocusLLMs · Memory · Agents
Based inCyprus
LocaleEN · RU · ZH
§B · CONTENT OWNERSHIP
Original courses, written here.
All courses, tutorials, and interactive instruments are created and maintained by Aleksei Prikhodko.

Each course represents a synthesis of years of experience in machine learning, mathematics, and computational sciences. The content draws from professional work at Inworld AI, research at the Institute of Computational Mathematics (Russian Academy of Sciences), and teaching practice.

Every visualization, interactive tool, and lesson is designed to transform complex technical concepts into intuitive learning experiences.

SUPPORT THE WORK

Premium access directly supports the creation of high-quality, original educational content — and the development of new instruments and courses.

§C · EXPERTISE
Two stacks, working together.
AI · MACHINE LEARNING
  • 01.LLMs, RAG systems, and knowledge management
  • 02.Fine-tuning and optimization of language models
  • 03.Agent systems with memory and knowledge integration
  • 04.Real-time AI response systems for interactive applications
MATHEMATICAL FOUNDATIONS
  • 01.Inverse and ill-posed problems
  • 02.Computational mathematics and optimization
  • 03.Algorithm design and implementation
  • 04.Mathematical modeling across disciplines
§D · EDUCATION
Formal training, where it started.
Novosibirsk State University (NSU)
Master's in Applied Mathematics and Computer Sciences

"Comparative analysis of numerical methods for regularization of a three-dimensional solution continuation problem for a parabolic equation"

2019 – 2021
Novosibirsk State University (NSU)
Bachelor's in Mechanics and Mathematical Modeling

"Comparative analysis of numerical methods for determining the parameters of chemical reactions"

2015 – 2019
Computer Science Center (JetBrains · YandexDataSchool · NSU)
Data Science

Specialized training in machine learning, deep learning, algorithms, and NLP.

2020 – 2022
§E · PROFESSIONAL SERVICES
Work with me, directly.
§F · TESTIMONIALS
What others say.
GAMING INDUSTRY · TECHNICAL DIRECTOR

"Aleksei has a unique ability to translate complex AI concepts into practical applications that solve real business problems. His expertise was invaluable to our project."

ENGINEERING · TEAM LEAD

"The visualization approach in AP Lab Academy helped our team understand RAG systems in ways that technical papers couldn't. Aleksei's teaching style bridges the gap between theory and application."

§G · CONTACT
Let’s connect.
Open to discussing new projects, technologies, or opportunities to share knowledge. For professional services and custom AI solutions, visit AP Lab.