Innokenty Bodrov

I build and improve first-party applications as well as leading product and architecture work.

Two live products

• AI-assisted LMS: a learning platform serving about 500 monthly active users. I shaped the learner and creator workflows and built and iterated the application using AI-assisted development tools.
• Transcriber: an application I built for my own use case that now serves about 100 monthly active users. I continue to improve it based on real usage.

Earlier, I independently built document-workflow systems with Delphi and MS SQL and a Python application for a physician’s workflow. Those projects predate AI-assisted coding.

What this demonstrates

I can turn a bounded problem into an application people use, combine product decisions with hands-on implementation, and iterate against real workflows. For client projects I review the existing code, requirements and data handling before agreeing the stack, deliverables, tests and release plan. These are my own products, not work for an employer or a client.

Design the learning system before generating the lessons.

In a first-party AI-assisted learning product, I work on the workflow that helps course creators define the learner, starting point and measurable outcome before content generation. The product proposes a learning architecture that the creator must inspect and confirm.

Current build

The end-to-end flow covers guided discovery, outcome definition, architecture confirmation, an opening diagnostic, adaptive routes, and an editable course that can be simulated before use. Human review is an explicit boundary before AI continues.

Evidence and next test

The build is ready for a limited experiment with existing users. The next question is where creators understand or revise the proposed architecture and where the workflow needs a clearer explanation. Improved learning outcomes have not yet been demonstrated.

What this demonstrates

AI-native product discovery, decision-first learning design, human approval points and practical adult education.

Product work is described without naming the company or claiming unmeasured effectiveness, adoption or revenue.

Making complex technical topics useful to working adults.

I built a paid learning and professional community ecosystem as founder and product owner. The work combines curriculum, learner journeys, feedback, product experiments and career coaching. I adapt systems, product and AI topics to audiences with different levels of technical knowledge.

My role

Designed and led the learning product, coached professionals and shipped practical tools, including an AI-assisted LMS and a transcription app. I also teach senior leaders how to use AI effectively in day-to-day operations.

Evidence

• 2,000+ paying students and a 10K+ professional community.
• 100+ IT professionals coached; 20+ public talks.
• AI-assisted LMS with about 500 monthly active users; Transcriber with about 100 monthly active users.

What this demonstrates

Executive AI enablement, adult-learning design, product adoption and hands-on validation.

Founder and personal products. Learner totals are not presented as numbers of corporate executives; app audiences are in the hundreds of monthly users.