Services

A short free call.

You tell me the problem, and we decide together whether I am the right person for it.

One hour on the design, scaling problem, data model, or AI build your team is stuck on.

Bring the doc or the diagram; leave with a recommendation.

A written review of one design doc before your team commits to building it: data models, service boundaries, failure modes, and scale.

Every risk is ranked with a proposed fix, and the week closes with a call to walk your engineers through it.

A keynote for a conference, summit, or company offsite, shaped around the audience’s AI decisions.

My delivered talks include AI for Impact and Knowledge Graphs, Then Small Language Models.

One session or a connected series, built around your team’s work.

I have taught applied AI to HP teams, trained Morgan Lewis’s internal AI champions, and led practical AI programs for PBS and Sonova.

I run every AI initiative on your list through a four-layer framework.

• A SCALE strategic readiness assessment of your firm
• A value driver tree that traces each initiative to return on invested capital
• A discount rate adjusted for AI-specific risks such as vendor and platform dependency and organizational friction
• Stage gates that release each tranche of funding only on evidence

You get a decision scorecard that tells your executives which initiatives to fund.

Standing access for your engineering leaders: design reviews before work starts, office hours for hard distributed-systems and AI problems, and mentoring for senior engineers growing into staff roles.

I become your technical leader, accountable for outcomes.

• Technical strategy and roadmap
• Architecture and design reviews
• Hiring loops for your first engineers
• Mentoring and performance management
• Vendor and agency oversight
• Investor technical due diligence and board updates
• AI strategy and ROI decisions

Month one opens with a two-week stack audit and a 90-day plan, included.