AI & ML interests

MiviaLabs builds small CPU models that turn coding-workflow text into strictly valid JSON: an 11-class schema router, a tool-match guard with honest abstention (CALL / CLARIFY / ABSTAIN), learned field extractors, and zero-shot select / grade / verify primitives.

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MiviaLabs 👋

https://mivialabs.com | https://github.com/MiviaLabs

Key areas of work:

  • AI-native software engineering platforms
  • Autonomous engineering workflows for planning, implementation, testing and code review
  • Engineering productivity and delivery automation
  • Multi-agent AI systems and developer tooling
  • Cloud-native platforms and distributed systems
  • Architecture and delivery of business-critical and national-scale software systems
  • Engineering turnaround and delivery recovery
  • Technical strategy, AI transformation and engineering leadership

Design and build engineering systems that enable organizations to increase delivery capacity, standardize software development workflows, and improve engineering quality through AI-assisted automation.

Architect and lead the delivery of complex, cloud-native platforms and mission-critical software systems, including national-scale infrastructure where reliability, security and operational resilience are essential.

Lead engineering recovery and turnaround initiatives for high-risk software programs by assessing delivery risks, redefining technical architecture and scope, establishing realistic execution plans, rebuilding engineering organizations through rapid hiring and automations, and restoring predictable delivery for business-critical projects.

Define engineering operating models, technical strategy, delivery processes and engineering metrics to support scalable product organizations.

Lead cross-functional initiatives spanning engineering, product and operations, translating business goals into measurable engineering execution.

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