Viktor Malyi – Practical AI Leadership

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Viktor Malyi

16 years in tech, with 8 years total in AI/ML and the last 3 years leading AI initiatives. I share practical insights from building production AI systems and leading technical teams through AI adoption challenges.

What You'll Find Here

AI Platform Development

  • Production Systems: Building and deploying 5 AI systems that handle real user traffic and generate measurable business impact
  • Technical Architecture: Designing GDPR-compliant AI platforms and establishing organizational standards for AI development
  • Team Leadership: Leading AI platform teams and driving cross-departmental adoption of AI tools and processes
  • Performance Measurement: Connecting technical AI metrics to business outcomes through practical measurement approaches

AI Team Leadership

  • Team Building: Establishing AI platform teams from scratch and defining technical roles and responsibilities
  • Technology Evaluation: Practical experience evaluating AI frameworks, tools, and vendor solutions for production use
  • Development Processes: Creating development workflows, testing strategies, and deployment pipelines for AI systems
  • Knowledge Sharing: Training engineering teams on AI tools and helping organizations adopt AI development practices

Technical Leadership Experience

  • Quality Engineering: 16 years of experience building reliable, tested systems that serve millions of users
  • Mobile Architecture: Technical leadership for mobile platforms serving 1M+ monthly active users
  • Compliance & Security: Real-world experience with regulatory requirements, GDPR compliance, and security practices
  • Cross-functional Collaboration: Working with product, business, and data teams to deliver technical solutions that meet business needs

Explore My Content

Ready to dive deeper into practical AI implementation insights?

Read My Blog - Technical articles on AI development, team leadership, and real-world implementation challenges

Watch My Videos - Practical AI guidance and lessons learned from production systems

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