ledin.pro

Cases

Below are selected cases where my role covered technical strategy, architecture, team leadership, and practical execution.

01

Algorithmics

Scaling an EdTech platform with AI and cost optimization

Led the platform through a business split while keeping the service stable for a 1M+ audience, introduced AI into support and engineering, reduced infrastructure cost, and lowered dependency on foreign services.

Primary outcome

Support cost reduced by 20%.

Additional outcomes

  • Infrastructure cost reduced by 30%.
  • Time-to-market improved by 3-4x.

Context

A large EdTech platform with significant traffic, complex infrastructure, and a large user base was going through major organizational and technical changes.

Challenge

The challenge was to preserve platform stability, accelerate delivery, adopt AI, and reduce cost without a disruptive platform rewrite.

What I did

  • Maintained a platform serving 1M+ users during a period of major change.
  • Introduced AI into support and engineering workflows.
  • Reduced infrastructure cost and dependency on foreign services.
  • Accelerated delivery through clearer technical organization and tooling.
Fractional CTOAI TransformationArchitecture Audit
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02

BotHelp

Scaling a SaaS team, key integrations, and operational stability

Scaled the engineering organization, delivered key product integrations, and improved delivery, observability, and product quality while the platform was growing fast.

Primary outcome

The engineering team scaled from 6 to 19 people.

Additional outcomes

  • MRR doubled through key integrations.
  • Infrastructure cost reduced by 30% while load increased.
  • Incident response time was reduced to 10 minutes.

Context

A growing SaaS product needed a more mature engineering structure, key integrations, and stronger operational resilience.

Challenge

The team had to support growth, higher platform load, and major integrations without sacrificing quality or speed.

What I did

  • Scaled the engineering team from 6 to 19 people.
  • Delivered key integrations including WhatsApp and Instagram.
  • Improved observability and incident response speed.
  • Reduced infrastructure cost while the platform load increased.
Fractional CTOArchitecture Audit
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03

MetaPax

Building an MVP for a deep-tech product and preparing for fundraising

Built an MVP for a real-time streaming product, assembled the engineering team, optimized the AWS backend, and helped bring the product to a stage that supported raising $1M+ in investment.

Primary outcome

The MVP supported raising $1M+ in investment.

Additional outcomes

  • AWS backend cost was reduced by 4x.
  • The engineering team was built from scratch for the product mission.

Context

The deep-tech team needed to reach MVP quickly and demonstrate product and technical viability to investors.

Challenge

The challenge was to assemble the team, bring the product to demo-ready state, and keep both infrastructure cost and delivery speed under control.

What I did

  • Assembled an engineering team of 8 people.
  • Built and launched an MVP for a real-time streaming product.
  • Optimized the backend running on AWS.
  • Prepared the technical foundation for investor demos and further product growth.
Fractional CTOTechnical Strategy
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Michael Ledin

About me

Michael Ledin

A CTO with 16+ years of experience. I help product companies where they need technical strategy, architecture, team leadership, and practical AI adoption.

Fractional CTO / AI and architecture consultant

  • Fractional CTO and technical leadership.
  • AI transformation across product, support, and engineering.
  • Architecture modernization, reliability, and observability.
  • Infrastructure cost optimization.
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