Transforming human knowledge into autonomous systems since 2020
Scaled startups to 7-figure ARR through AI automation. Won $4M contracts with first-of-its-kind platforms. Research collaborations with Yale, Microsoft Research, and AutoGPT. 18+ years building production systems.
My LLM obsession began with GPT-3's 2020 release—recognizing that cognition had become programmable substrate. Years before mainstream adoption, I was building production systems, shipping the first generative QA applications, and pioneering RAG architectures.
At UserCue, I engineered AI pipelines that scaled them from $0 to 7-figure ARR, reducing qualitative analysis from 2 weeks to 1 day. At SimSpace, my cyber attack framework won a $4M government contract and now trains defenders globally.
Research collaborations include NeurIPS 2023 with Microsoft Research on AI agent safety, Yale's DAMMA project for Holocaust memorialization, and USENIX publications on ARM security.
I combine deep technical expertise with business impact—18+ years engineering, $11M+ revenue influenced.
1-2 weeks • Validate before you build
Rapid technical validation with ROI modeling. Know exactly what's possible, what's not, and what it will cost before committing to development.
4-8 weeks • Proof of concept to pilot
Working prototype that proves business value. From technical validation to production-ready system your team can iterate on.
3-4 months • Zero to production
Enterprise-grade AI platform designed for scale. Complete system with monitoring, observability, and team autonomy from day one.
Zero-to-one AI products, rapid prototyping, technical risk validation.
Operational transformation, pilot-to-scale programs, ROI validation.
Theory-to-production bridges, grant technical sections, publication collaboration.
Impressive demos that can't handle real user queries or scale past 10 conversations. I build production systems, not theater.
PowerPoint 'AI transformation' that never ships. Every recommendation comes with working prototypes and implementation roadmaps.
Maintenance contracts that create vendor lock-in. I document everything, train your team, and make myself obsolete.
Built visual programming pipeline-builder powered by custom DSL compiler that lets non-technical researchers create complex AI workflows. Democratized advanced AI capabilities by making them accessible without coding, enabling domain experts to build sophisticated analysis pipelines.
Built AI system that automated quality control processes for qualitative research data, reducing QC time from days to hours while maintaining accuracy at scale. Ensured data quality and consistency across thousands of participants without manual review bottlenecks.
Automated complex qualitative analysis workflows that traditionally required expert analysts weeks to complete. Built AI systems that process GBs of research data, extract insights, and generate reports, reducing analysis time by 95%.
Designed and tested safety monitors for autonomous agents in collaboration with Microsoft Research, Northeastern University, and AutoGPT. Defined threat models and demonstrated containment strategies for both inadvertent and intentional malicious activity.