I help enterprise to find the expensive bottleneck, design AI solutions, and ship production-level systems. Built to be trusted with high-stakes decisions: governance, evals, and observability from day one.
Over the past 7+ years I've been engineering AI/ML architectures, partnering with enterprise stakeholders to solve high-impact problems, and deliver ROI-driven solutions.
Built 2 AI startups:
Delivered 12+ production GenAI E2E deployments for startups, SMBs, and enterprises: from customer discovery using MEDDPICC, solution architecture, technical implementation and deployment, and user adoption.
Led a $2M engagement and a team of 8 to cut private-equity due diligence from ~4 months to ~1 hour. A 6-agent, ontology-first pipeline over 400+ pages of unstructured documents, with agent governance and GraphRAG.
Architecture write-up available on request.
Reduced cross-team data retrieval time by ~82% by unifying search across documents, databases, and internal tools.
Architecture write-up available on request.
Cut technology-adoption time from 6 weeks to 3 for managers adopting new tools, using a multi-agent platform for documentation, project data, and internal tools.
Architecture write-up available on request.
Saved ~15 hours/week for safety supervisors by automating visual inspection and incident triage on jobsites.
BuiltWorlds AI Conference Pitch 2025
Autonomous Flight in 600 sq ft Apartment
Techstars Berlin Demo Day 2023
Barcelona SmartCityExpo Pitch 2023
If you are sitting on a slow, expensive process and you want someone who can diagnose the real problem, design the system, and ship it to production, let's talk.