Every engagement is different. The constant: I stay close to the work. I don't hand you a strategy deck and disappear. I lead the execution, make the technical calls, and stay accountable for outcomes.
Senior AI and technical leadership for companies that need strategic direction without a full-time executive hire. I embed with your leadership team and operate as your CTO or Head of AI.
I join your leadership team on a part-time, ongoing basis. I set technical direction, evaluate build-vs-buy decisions, hire and manage engineering talent, and represent technology to your board and investors.
A focused engagement to evaluate where AI fits your business. I assess your data infrastructure, identify high-value use cases, size the investment, and deliver a prioritized roadmap your team can act on.
Training programs designed for your actual roles and workflows. Not generic AI overviews. I design custom curricula starting with engineering teams and expanding to operations, sales, and leadership.
For private equity firms and investment banks evaluating acquisitions. I assess technical infrastructure, AI capabilities, engineering team quality, and technology risk. Delivered as a structured diligence report.
Technical execution under experienced leadership. I architect systems, assemble and direct development teams, and manage delivery. Available as a direct engagement or as embedded technical leadership for consulting and development firms.
Design, architect, and deploy AI agents that automate workflows, interact with customers, and execute business processes. I lead the technical team from proof of concept through production deployment.
Full-stack development of data products, internal tools, and customer-facing applications. I lead architecture decisions, technology selection, team assembly, and delivery management.
The foundation that makes AI work. I design data pipelines that scale to billions of rows, establish proper data governance, and direct the engineering teams that build the infrastructure your AI systems depend on.
Right-sized cloud infrastructure on AWS or Azure. I design for cost efficiency from the start and lead migration efforts, avoiding the common trap of over-provisioned environments that drain budget without delivering value.
Building AI is the beginning. Running it well is the hard part. We provide ongoing operation, monitoring, and optimization of your AI agents and software systems under SLA-based agreements.
Continuous monitoring of agent performance, accuracy, and cost. We detect drift, manage retraining cycles, handle model updates, and ensure your agents perform as business conditions change.
Ongoing maintenance, security patching, performance optimization, and feature development for your production software. Your systems stay current without requiring a permanent engineering team.
Defined response times, escalation paths, and resolution commitments. When something breaks at 2 AM, we handle it. You get transparency and accountability through regular reporting.
AI compute costs grow fast. We monitor token usage, optimize prompts, evaluate model selection, and right-size infrastructure. The goal: maximum capability at minimum spend.
Most engagements start as a conversation about what you're trying to accomplish. We figure out the right model from there.
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