Projects
Programs I’ve led across AI transformation, data platforms, and applied AI — alongside products from my own AI-native portfolio, each built end to end on agentic pipelines.
Mined 150k tasks across agile teams to see where work actually goes — and where AI agents remove the most toil.
Impact: The agentization roadmap got re-prioritized by evidence from 150k tasks, not by opinions.
Mined 40k data-team tasks to locate the real bottlenecks in data preparation — then held every standard against that map.
Impact: Standards that removed no bottleneck were killed; governance investment moved to where work stalls.
Analyzed tasks, communications, and cross-team dependencies to map bottlenecks, duplication, and friction across the organization.
Impact: Top-level org changes decided on the organization's own telemetry instead of the org chart.
Programs that teach leaders to run AI-native teams: new roles, new SDLC stages, new ways to plan and review.
Impact: 1,200+ people enabled to work with AI in their daily roles.
10+ products built end to end by one person on autonomous agentic pipelines — research tools, data platforms, this site.
Impact: Public proof of the leverage: github.com/pogorelov-labs, 8 open repositories and counting.
This site runs on an agentic pipeline: drafting, voice gates, corpus-derived style rules, CI, deploys. The human edits; the pipeline does the rest.
Impact: Idea to published note in one session, with a three-layer voice-control stack guarding the output.