Founder-led product delivery studio

I lead product development teams and ship SaaS & AI systems from idea to production.

I don't just build software. I lead the teams that ship it.

I've spent 16 years leading engineering teams and delivering SaaS and AI products. Based in Poland, working with founders and product teams globally.

Founder

Kiryl Bahdanovich

Kiryl Bahdanovich

LinkedIn

I'm a delivery and engineering leader with 16+ years building and shipping software. I lead product development teams, own delivery outcomes, and build SaaS and AI products from architecture through production.

WavePillars is founder-led delivery—not a consulting agency. I take direct responsibility for product outcomes, lead engineering teams hands-on, and ship SaaS and AI systems end-to-end.

  • 16+ years in software engineering and delivery
  • .NET, system architecture, and cloud-native SaaS
  • I've led distributed engineering teams on enterprise programs
  • I build SaaS products—from MVP through production and iteration

16+

Years in delivery

10+

Products shipped

What I do

I take ownership of product delivery—not just advice. Three execution pillars, outcome-driven.

Product team leadership

Embedded leadership for engineering teams that need direction, alignment, and predictable delivery.

  • I lead dev teams through sprints, releases, and hard trade-offs
  • I align product priorities with engineering capacity and architecture
  • I establish delivery rhythm—planning, metrics, and stakeholder visibility

SaaS & AI product delivery

Full-cycle execution from MVP to production systems—SaaS products and AI-powered tools that teams can run and scale.

  • I ship MVPs with production-grade architecture, not throwaway prototypes
  • I build AI systems—agents, copilots, and MCP integrations—that work under real load
  • I deliver scalable backends, APIs, and frontends ready for iteration

Technical architecture & execution strategy

System design and delivery planning that keeps teams moving—clear structure, fewer surprises.

  • I design system architecture that matches product scope and team size
  • I plan delivery milestones with realistic engineering estimates
  • I structure engineering teams, repos, and CI/CD for sustained shipping speed

Proof of work

Real products shipped—what was delivered, how teams were led, and what the outcome was.

TestLemon

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Problem
Developers needed reliable website and API monitoring without complex infrastructure setup or backend dependencies.
What was built
No-code monitoring SaaS with API debugging, uptime checks, and developer-focused alerting—built for teams that ship fast.
Technical approach
Cloud-native SaaS architecture with monitoring pipelines, webhook integrations, and a developer-first API surface.
Outcome
Live production SaaS serving developers—shipped from concept through launch with ongoing iteration.

JoyQuery

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Problem
Teams had data in files and spreadsheets but no practical way to query it without SQL skills or BI tooling overhead.
What was built
AI-powered data chat product—upload files, ask questions in plain language, get answers from your data.
Technical approach
LLM orchestration with structured file parsing, conversational UI, and backend designed for multi-format data ingestion.
Outcome
Shipped SaaS MVP to production—real users querying data through natural language, not SQL.

MCP & AI tooling

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Problem
Teams adopting AI agents lacked production-ready patterns for Model Context Protocol servers and enterprise integrations.
What was built
MCP server implementations in .NET, open catalog at mcpsolutions.dev, and a technical insights series covering SSE transport, Docker deployment, and enterprise patterns.
Technical approach
.NET MCP servers with SSE transport, Docker containerization, API integrations, and documented deployment workflows.
Outcome
Open tooling and production patterns adopted by teams building AI agent integrations—real code, not concept demos.

WavePillars Assessments

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Problem
Engineering teams needed structured practice assessments with timed sessions, clear scoring, and a polished delivery experience.
What was built
Full quiz platform with Google auth, Stripe payments, timed assessment sessions, and detailed results reports.
Technical approach
Next.js on Cloudflare, Stripe checkout integration, session management, and server-side quiz engine with access control.
Outcome
Live product under the WavePillars brand—multiple assessment tracks with paid and free tiers in production.

How I engage

Focused engagements for founders and product teams that need delivery leadership and execution—not slide decks.

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Product team leadership

Fractional or embedded leadership for engineering teams—sprint rhythm, delivery metrics, and hands-on direction until shipping is predictable.

SaaS MVP delivery

From idea to production: architecture, build, and launch for SaaS products you can run, iterate on, and scale.

AI system implementation & scaling

Agents, copilots, and MCP integrations built for production—prompt engineering, guardrails, and infrastructure that holds up under real load.

Client testimonials

Feedback from teams and programs I've shipped with.

I've worked with Kiryl for nearly 8 years and can confidently say he's an outstanding Delivery Manager. His grasp of the SDLC, metrics and data-driven decision making, and software architecture is top-notch.

Igor Pishko

Igor Pishko

Senior Director of Account Management

EPAM Systems

Kiryl's ability to manage complex, cross-functional teams across geographies was instrumental in delivering multiple workstreams on time and with exceptional quality.

Boris Khazin

Boris Khazin

Global Head of DRM/GRC Services

EPAM Systems

I had the pleasure of working with Kiryl for 3.5 years across multiple projects for a major customer of our company, and I can confidently recommend him as a skilled experienced engineer, exceptional Delivery Manager and an amazing teammate.

Alexey Kostevich

Alexey Kostevich

Software Engineer

EPAM Systems

EPAM SystemsThomson ReutersTriZettoWolters KluwerFoundation Medicine

Let's talk about leading your product delivery

Whether you need a team led, an MVP shipped, or an AI system scaled—tell me where you are and what needs to get to production.