Enterprise platform leadership
Engineering leadership for platforms that survive scale.
Director-level engineering leader, founder, architect, and hands-on technical partner for Global Fortune 500-scale enterprise delivery. I build durable software platforms and the teams that keep them useful.
How I create value
Leadership, architecture, AI, and hands-on judgment in one operating model.
Lead Teams
Hire, mentor, structure, and retain engineering teams that can handle ambiguous enterprise delivery without losing the human center.
Modernize Platforms
Move legacy systems toward cloud-native, observable, secure, service-oriented foundations that can evolve for years.
Ship AI Responsibly
Apply AI to real product and engineering workflows with attention to reliability, privacy, ergonomics, and business value.
Earn Technical Trust
Go deep with senior engineers across data, distributed systems, mobile, geospatial, performance, and platform internals.
Featured case study
Global Agricultural Platforms
Multiple Global Fortune 500 engagements across web apps, enterprise integrations, AWS modernization, observability, and production AI.
Syngenta · GHX Fields / E-Luminate / Cropwise ecosystem
Long-running enterprise platform work with real commercial impact.
I served as a primary technical partner for systems supporting seed recommendation, catalog, sales hierarchy, and field-analysis workflows across global markets. The platform evolved from .NET Framework, Knockout, SQL Server, and Azure into TypeScript/React, .NET Core, Node.js services, AWS infrastructure, and observability-backed operations.
Root Cause analyzed agronomic and environmental patterns to surface field concerns and mitigations.
Salesforce, SAP, sales hierarchy abstraction, internal systems, and globally varied commercial workflows.
AWS CDK, Fargate, Lambda, VPC segmentation, OpenTelemetry, Grafana, Loki, Tempo, Prometheus/Mimir.
AI in production and practice
Not AI theater. Product AI, developer workflows, and local model investigation.
My AI work spans production client features, report-generation workflows, AI-assisted engineering practices, local LLM evaluation, and open-source tooling for agentic workflows.
Open-source signal
Practical AI and platform tooling.
task-board
AI Kanban harness for managing agentic work, integrating with your existing workflow and tools.
Product thinking for AI control surfacescodex-image-gen
Portable Node CLI and skill wrapper around Codex image-generation workflows.
Practical AI toolchain integrationlocal-llm
Local LLM investigation space for model hosting and workflow experiments.
Hosted vs local AI tradeoff explorationpopcorn
REST API middleware for response shaping, reducing endpoint sprawl while giving clients precise payload control.
API/platform engineering depth