Automated fulfillment OS
Event-driven Laravel + Node platform orchestrating 14 warehouses, IoT sensors, and predictive restocking.
I partner with CTOs, founders, and digital teams to design, build, and scale systems that feel effortless for users and bulletproof for stakeholders.
Event-driven Laravel + Node platform orchestrating 14 warehouses, IoT sensors, and predictive restocking.
Embedded leadership: establishing architecture guardrails, code quality frameworks, and growth plans.
Leading full stack deliveries across finance, logistics, health, and retail.
Production launches with adoption programs, documentation, and ongoing ownership.
Average efficiency lift after embedding AI, automation, and telemetry feedback loops.
Global collaboration across time zones with transparent governance and service-levels.
I dissect business goals, co-design strategies with stakeholders, and translate them into elegant architectures. From rapid prototyping to scaling distributed systems, I build teams and codebases that stay maintainable.
Tooling spans Laravel, Node.js, Vue, React, Livewire, Python, AWS, Kubernetes, CI/CD orchestration, and AI agents. Engagements range from greenfield SaaS, ERP modernization, product rescue to automation initiatives.
Domain-driven design, modular monoliths, and microservices balancing velocity with maintainability. Heavy focus on security, observability, and graceful failure patterns.
Human-centric UI systems with component libraries, state machines, and performance budgets. Animations that guide attention without sacrificing clarity.
Designing pipelines that combine AI inference, workflow automation, and infrastructure as code. Observability-first operations with SLOs, tracing, and recovery drills.
Replaced legacy EMR modules with a Laravel + Vue stack, integrating AI triage, HL7 interoperability, role-based access, and audit-grade observability.
Microservices orchestrating procurement, routing, and warehouse automation. Event-driven Node.js services, time-series forecasting, and live control dashboards.
Unified third-party risk scoring with AI anomaly detection, policy automation, and executive reporting surfaces tailored per stakeholder.
Immersive workshops, systems audit, and roadmap aligned to north-star metrics and constraints.
Modular increments, automation-first pipelines, paired reviews, and transparent progress rituals.
Reliability drills, training artefacts, observability setup, and transition playbooks for internal teams.
Data-informed iterations, AI enhancement roadmap, and leadership support as objectives evolve.
Share a few lines about your goals, timelines, and the traction you already have. I’ll reply within two business days with next steps.