Robert Lubenow
AI Engineer
I build end-to-end AI systems—from ML pipelines to autonomous agents.
About Me
AI engineer building systems that integrate data pipelines, model development, and agentic workflows. I focus on creating reliable AI/ML solutions with strong emphasis on evaluations and safety. That means thinking beyond the model: how data flows through the system, how to properly evaluate performance in production, and how to build AI systems that are both effective and trustworthy.
Right now, I'm deep into agentic systems and multi-agent orchestration, exploring how specialized AI agents can work together to tackle document processing challenges that single models can't handle alone, with careful attention to evaluation frameworks and safety guardrails.
I enjoy traveling and exploring new cultures. Check out my travel gallery for snapshots from my journeys.
Travel moments →Tech Stack
Tools and frameworks I use to build AI systems.
Projects
Selected work. Click any project to expand the full case study.
NewsOps
Daily AI newsletter aggregator that ingests newsletters, summarizes daily updates, and enables chat over embedded briefings.
Atlas
Phase 1 produces a research report plus a source index; Phase 2 enables Q&A over the new knowledge base.
DocFlow
LandingAI-style extraction with user accounts, tiered pricing, and Hydra-managed config.
CVServe
Unified endpoint for multiple CV models with reproducible deployments and low-latency scoring.
AdRank
Enhances Tim’s brand drift algorithm with attention-based signals for safer rankings.
QuantumGuide
Advises on quantum readiness and converts classical workloads into quantum-friendly plans.
MarketLens
Combines market signals, news, and sentiment to generate investment research insights.
Resume
Impact highlights and scope from recent roles. The full PDF is always up to date.
Where I've Been
Snapshots from my travels.
Contact
Open to consulting, advisory, and select full-time roles.
Please include a brief introduction and the nature of the opportunity.