AI acts as a capability multiplier when planned and built with intention, extending far beyond a simple plug-and-play tool. I design and build custom agentic workflows, predictive machine learning models, and resilient data pipelines that solve your real-world operational bottlenecks. With over 20 years of consulting and software engineering experience, I help teams build sustainable internal capabilities. Every system I deliver runs with complete traceability (OpenTelemetry), giving you full control over token costs, latency, and agent decisions.
DISCOVER --scoping "Ambiguous Business Problem"
>> Capturing implicit domain knowledge
>> Mapping team workflows
>> Scoping data sources & constraints
STATUS: COMPLETE [Architecture mapped]Aligning AI systems with industry-specific rules ensures long-term viability. For over twenty years, I have built robust data pipelines and custom ML models for leaders in insurance, telecommunications, banking, and retail. This background ensures our designs handle your sector's regulatory and operational constraints.
I build and deploy autonomous multi-step agent networks using LangGraph, Claude Code, and CrewAI. Every system includes full observability based on OpenTelemetry to track agent decisions, latency, and token costs in real-time.
I train custom predictive models and build operational decision tools that embed your data and machine learning logic. This includes delivering product recommendation engines, customer segmentation systems, and Bayesian MMM to improve business acquisition.
I design reliable data pipelines across Google Cloud, AWS, and Azure, and build interactive dashboards in Tableau and Power BI. I also refactor legacy data science codebases, such as migrating SAS workflows to modern, maintainable Python.
I act as an independent Subject Matter Expert (SME) for consulting firms, enterprise teams, and venture capital portfolios. My services include technical audits of models and pipelines, annual data science roadmaps, tailored workshops, and preparing presentation narratives for executive keynotes.
Code delivers the most value when it is backed by structural integrity. Planning is not about slowing down; it is about building what actually works and aligning technical decisions with your business objectives from day one. I run structured discovery workshops to map team workflows, extract implicit domain knowledge, and outline clear system boundaries before we write code. This collaborative planning ensures we build scalable, resilient systems that your team can run independently.
I translate complex, ambiguous briefs into clear technical designs with concrete success metrics before we begin.
I focus on native tools and clean architectures to keep your systems fast, secure, and easy to maintain, reducing dependency overhead.
Ready to deploy custom AI workflows, refactor legacy data pipelines, audit your machine learning models, or align your team with a strategic AI roadmap?
Our first conversation is a brief, zero-obligation discussion to explore your goals, evaluate your needs, and see how I can help. If we decide to work together, I provide a clear, fixed-price proposal with defined deliverables, ensuring budget predictability and full transparency.