I lead product and engineering to build customer-driven platforms powered by AI — from 0 to 1 to systems used by millions of enterprise customers, driving measurable business outcomes.
Previously at: Procore · Autodesk · Cognizant
How I engage
Step into your organisation as the technical co-founder you need without the full-time overhead. I architect AI and data platforms, establish engineering standards, and govern the technology decisions that determine whether your platform scales or stalls.
Available nowOwn the full product lifecycle for your most complex platform — from executive alignment and market positioning through roadmap execution and engineering delivery. I bridge the gap between business vision and technical reality with precision.
Full-time or contractTransform your AI investment from prototype to reliable production system. I assess architecture, establish evaluation frameworks, define governance policies, and create the operational foundation that turns a promising model into a trustworthy enterprise product.
Advisory & consultingCore Specialization
Three interlocking disciplines built over 14 years across Procore and Autodesk — each one independently valuable, together they define a leader who can take a platform from vision to enterprise scale.
I design and scale multi-tenant SaaS platforms that serve thousands of enterprise customers without compromising reliability, compliance, or margin. From 0 to 1 product strategy through platform maturity, I own the roadmap, align executive stakeholders, and lead cross-functional teams to ship products that generate measurable revenue and long-term retention.
I lead the design of distributed systems engineered for petabyte-scale data ingestion, sub-250ms latency SLOs, and enterprise-grade fault tolerance. Operating at the intersection of product and engineering, I define API contracts, govern non-functional requirements, and make the infrastructure tradeoff decisions that determine whether a platform holds up under production load.
I build AI systems that reach production and remain there — not prototypes. From agentic orchestration and multimodal RAG pipelines to evaluation-as-a-service and ML governance, I understand the complete engineering stack required to move a model from 45% accuracy to 90%+.
Proof of Work
Not slide decks — shipped products with verifiable business impact. Click any case to see the problem, strategy, and metrics.
Case Study 01 - Procore Technologies
Problem
Procore's AI assistant was returning approximately 45% accurate responses — hallucinating project data, surfacing wrong documents, and failing on multi-domain queries. Enterprise customers were churning on AI features before they could demonstrate ROI. The platform had no grounding strategy and no evaluation framework to measure or improve.
Strategy & Execution
Tech Stack
Case Study 02 - Autodesk, Inc.
Problem
Autodesk was executing one of the most complex commercial transformations in enterprise software — moving from perpetual licenses to subscriptions. The existing infrastructure had no transactional API layer for subscription creation, entitlement management, or partner order placement at scale.
Strategy & Execution
Tech Stack
Case Study 03 - Procore Technologies
Problem
Enterprise customers with over $500M ARR were threatening non-renewal because cross-domain reporting did not exist. Data was fragmented across Financials, PMQS, and Resource Management. Full materialization required 45 minutes — an eternity for executives making real-time project decisions.
Strategy & Execution
Tech Stack
Experience
Procore Technologies
Principal Product & Technology Leader — Data & AI
Autodesk, Inc.
Technical Product Manager — Data & ML
Cognizant
Business Systems Analyst — CRM & Partner Platforms
Leadership Philosophy
Four principles that guide every product, every architecture decision, every team I lead.
Outcomes over output
I measure success by accuracy, retention, and revenue — not velocity or features shipped. Every decision traces back to a customer problem and a business metric.
Technical depth enables trust
The best product leaders earn engineering trust by understanding system constraints. I can audit a query plan, review an API contract, and challenge an architecture decision.
Clarity as competitive advantage
Complex systems fail at the handoff. I invest in clear specs, explicit tradeoffs, and shared understanding — so teams build the right thing the first time.
AI is infrastructure, not magic
Great AI products need evaluation frameworks, feedback loops, and governance from day one. I built the pipelines that turned 45% accuracy into 90%+ — the unglamorous work that makes AI reliable.
Contact
Open to senior and principal product and technology leadership roles, consulting engagements, and fractional CTO opportunities. Based in Plano, TX — available globally.
Whether you need a fractional CPO, a CTO partner, or someone to lead your AI platform from strategy to shipped — I have done it at enterprise scale and I can do it for you.
MBA · Keller Graduate School · BS EEE · Dr. MGR University