AI Deploy Network
Sanzhar Kuatov

Sanzhar Kuatov

Verified

AI Automation Engineer | Software Engineer | AI Agents, Workflow Automation & API Integrations · Agentic Workflows

KazakhstanSenior

Available for Projects Available for Fractional Roles Available for Full-Time Roles
Published Evidence
2
AI Deployments
3
AI Case Studies
verified Builder

Measured business impact

Outcomes reported against approved AI implementations, presented for executive review.

Hours Automated
2,040 hours

Operational hours recovered through verified AI deployments.

Cost Savings

Verified operating cost reductions delivered for client organisations.

Revenue Impact

Revenue created or protected through deployed AI solutions.

AI Deployments
2

Implementations reviewed and approved against the Evidence Standard.

Published Case Studies
3

Documented implementations with published business outcomes.

VerifiedOrganisation Trust SignalsHow this is verified
  • VerificationVerified
  • SpecialisationAgentic Workflows
  • AI Deployments2
  • AI Case Studies3
  • Industries Served5
  • LocationKazakhstan
How this is verifiedWhat the platform has established, and what remains builder-declared.
Identity and organisation
Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
AI Deployments
An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
Business outcomes
Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
Evidence
Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
Currency
Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
Traceability
Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

The platform does not independently audit client systems or financial records. How this is verified

Top business outcomes

Reported by the builder on the record that produced them, in the original reporting period. Nothing is annualised or converted.

  • Hours Automated2,040 hours

    period not specified

    Automated 2,040 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

Business Outcome Highlights

Measured outcomes taken from published AI Case Studies, shown with the reporting period the builder stated. Each figure links to its case study.

Capabilities: declared and demonstrated

7 of 23 listed capabilities are supported by an approved deployment or published case study on this platform. The rest are Builder-declared and are not presented as verified.

Implementation capability

  • Agentic Workflows
  • AI Agent3
  • Conversational AI2
  • Data Extraction1
  • Expense Management1
  • Task Automation4

Technologies

  • .NET
  • Auth0
  • C#
  • Claude Agent SDK
  • Claude Code2
  • Discord
  • Django
  • Docker
  • Expo
  • Instagram Messaging
  • Make
  • n8n

Industries

  • Marketing & Advertising
  • IT Services & Systems Integration
  • Management Consulting
  • Automotive1
  • Software & SaaS

About

Software Engineer specializing in AI-powered applications, workflow automation, and business process optimization. Experienced in building AI agents, automation pipelines, Telegram bots, and full-stack web applications using Python, Node.js, APIs, and LLM technologies. Passionate about helping organizations automate repetitive tasks, improve operational efficiency, and deploy practical AI solutions that deliver measurable business outcomes. Currently focused on AI agents, workflow automation, system integrations, and intelligent business tools.

Ready to discuss your AI implementation?

Tell Sanzhar Kuatov what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.