Open to Opportunities

Product Manager · Engineer by Background · Builder by Choice

Turning Unclear Problems
Into Useful ​Products

Bridging business, product, and engineering to help teams build what matters and avoid what doesn't.

20+
Years Building Software
PM + Eng
Business & Technical Perspective
0 → 1
Discovery, MVPs & Launches
AI
Applied to Real Problems

Why I'm Different

I didn't become a product manager because I wanted to manage products.

I became one because I wanted to have a bigger impact on what gets built.

Before roadmaps, discovery sessions, and product strategy, I spent years building software and working closely with engineering teams. That still shapes the way I work today.

I care about customer problems and business outcomes, but I also stay close to the realities of execution: technical constraints, trade-offs, complexity, and delivery.

  • I validate ideas early, before investing engineering resources
  • I know when engineering complexity is real — and when it points to a product problem
  • I work well with engineers because I understand how products get built
  • I've learned that a good idea isn't always worth building
  • I can switch between customer problems, business goals, and technical trade-offs
Background & Experience
Faculty of Applied Mathematics & Technical Physics
Analytical thinking, modeling, and problem solving
Automation Systems Engineering Degree
Processes, constraints, feedback loops, and optimization
Software Engineering
Real-world experience building production systems
Product Management
From customer problems to product decisions
AI & Automation
Building faster, learning sooner

Case Studies

Selected highlights from projects that can be discussed publicly.

Built to Learn

Small experiments with a visible path forward.

These are not polished products or passive concepts. They are working prototypes built to test a workflow, explore a technical assumption, and see what would need to be true for the idea to grow.

Product Experiment

AI Chat Built Around Trusted Knowledge

A working prototype for asking questions against a personal knowledge base built from documents, images, and links, with optional search across trusted websites. It keeps the familiar chat format, but builds each answer only from sources the user can verify.

Explores

Whether users find an AI chat more useful when it searches their own materials first, looks beyond them only when needed and only across trusted sources they choose, and makes every answer easy to verify.

Status

Early MVP, available as a public preview.

Direction

A potential workspace where teams can easily build and maintain a broad knowledge base of approved documents and trusted sources, then get answers with visible citations rather than rely on an open-ended chat.

Show build path
Build Path
Already built
Started from an MIT-licensed demo from the Laravel SDK presentation
Debugged and stabilized the code into a beta-level prototype
Updated dependencies and fixed integration issues
Added multilingual support for English and Russian across the interface and prompts
Added trusted-site-only web search
Covered the core workflows with tests
Possible next steps
Add German localization
Add editable system prompts with a default fallback
Test with a narrow user segment
Measure answer quality against a generic AI chat workflow
Improve onboarding for setting up trusted sources and knowledge bases
Positioning Experiment

Turning a Career Story into a Product Narrative

A working experiment in presenting a complex PM + engineering background without making it feel like a resume, a LinkedIn profile, or a list of generic senior product manager claims.

Explores

Whether a personal landing page can explain professional positioning better than a traditional CV by using product stories, case studies, working experiments, and clearer narrative structure.

Status

Live version · You are viewing it now

Direction

Could evolve into a sharper career-facing product: a focused way to show how I think, what I have built, and how I approach product decisions across business, engineering, and user needs.

Show build path
Build Path
Already built
Ran discovery on the core positioning problem: how to explain a PM + engineering background without sounding like a generic resume
Defined the target audience and reading context for recruiters, hiring managers, and product leaders
Selected case studies that can be discussed safely without depending on confidential details or NDA-protected context
Turned raw career history into product stories with challenge, approach, outcome, and metrics
Designed the landing page structure around positioning, proof points, case studies, experiments, and contact
Built the first working version of the page with responsive layout and reusable content components
Added an Experiments section to show current product thinking, not only past experience
Added subtle micro-interactions, hover states, and motion details to make the page feel more alive without distracting from the content
Polished visual hierarchy, spacing, responsive behavior, and small interface details so the page feels intentionally built rather than assembled from a template
Possible next steps
Test the page with a narrow audience of recruiters, product leaders, and trusted peers
Check whether the positioning is clear within the first 30 seconds of reading
Refine case study wording based on what feels specific, credible, and safe to disclose
Add lightweight analytics for section engagement and contact clicks
Improve the balance between professional credibility and a more human voice
Decide which experiments deserve live previews and which should remain as written prototypes

I’m open to Senior Product Manager roles where product judgment, technical depth, and hands-on execution matter.