Founder-engineer and technical leader focused on AI infrastructure, distributed systems, platform engineering, and secure backend architecture.

I build and scale production-grade mobile and backend systems across consumer and healthcare platforms, with a focus on reliability, observability, cloud-connected architecture, and secure AI-powered experiences.

• AI Infrastructure
• Distributed Systems
• Platform Engineering
• Secure Backend Architecture
• Observability & Reliability
• Cloud-Native Systems
• AI Security Engineering

Languages: TypeScript, JavaScript, Go, Python, SQL
Backend & Data: Node.js, PostgreSQL, MongoDB, Redis, REST APIs
Infrastructure: Docker, Kubernetes, AWS, CI/CD, Cloud Infrastructure
Systems: Distributed Systems, Event-Driven Architecture, Platform Reliability
AI & Security: AI Platform Architecture, Secure AI Systems, RBAC, AuthN/AuthZ
Frontend: React Native, React, Expo, Mobile Architecture

Production AI platform for modern parenting
Stack: React Native, Expo, TypeScript, Node.js, PostgreSQL, AI integrations
Website: nestleai.app
App Store: NestleAI

NestleAI is an AI-powered parenting platform designed to support modern families through daily tracking, memories, insights, reminders, and personalized guidance.

Engineering Focus

• Built a production AI platform using React Native and Expo for iOS and Android.
• Architected backend systems with Node.js and PostgreSQL.
• Integrated AI workflows, analytics, notifications, authentication, and cloud services.
• Designed scalable backend architecture supporting intelligent user experiences and real-time platform behavior.
• Current infrastructure focus includes observability, AI workflow reliability, secure platform design, and scalable backend services.

Large-scale healthcare education platform used by medical professionals nationwide
Stack: React Native, TypeScript, Node.js, GraphQL, CI/CD, Analytics, Cloud Services
Play Store: Hippo Education

Hippo Education is a production medical education platform supporting courses, quizzes, user profiles, progress tracking, content delivery, and CME-based learning experiences.

Engineering Focus

• Lead engineering initiatives for large-scale production platforms.
• Drive technical architecture, platform stability, release strategy, and long-term maintainability.
• Collaborate with backend systems, authentication services, analytics tooling, and cloud infrastructure.
• Contribute to platform engineering decisions involving CI/CD, observability, production debugging, performance, and release automation.
• Support secure application architecture and high-availability user experiences.

Production social booking platform for beauty and wellness services
Stack: React Native, TypeScript, Node.js, MongoDB, Firebase, GetStream, Segment

ListedB is a social booking platform supporting user profiles, service discovery, messaging, booking workflows, analytics, and real-time user engagement.

Engineering Focus

• Designed and developed scalable frontend, backend, and middleware systems.
• Built backend APIs, authentication flows, analytics integrations, and real-time messaging.
• Contributed to architecture decisions involving scalability, platform performance, distributed communication, and production reliability.
• Worked across frontend architecture, backend services, deployments, and operational debugging.

Cross-platform marketplace application built from the ground up
Stack: React Native, Expo, Firebase, Node.js, Real-Time Messaging

LikeNow connects local contractors and customers through real-time communication, geolocation, reviews, notifications, and service workflows.

Engineering Focus

• Built and launched a production-ready cross-platform mobile application from scratch.
• Architected backend systems supporting authentication, geolocation, messaging, notifications, reviews, and real-time communication.
• Worked with cloud-connected services and backend integrations to support scalable user experiences.
• Managed deployments, release cycles, debugging, and operational maintenance.

This section will track focused systems and infrastructure projects as I continue building deeper AI infrastructure and platform engineering work.

• AI Gateway Platform
  Multi-provider AI gateway with model routing, auth, rate limiting, usage tracking, streaming responses, retries, and observability.

• Distributed Job Queue System
  Go-based worker system with retries, dead-letter queues, metrics, logging, and Redis/PostgreSQL persistence.

• Observability Stack
  Prometheus, Grafana, OpenTelemetry, structured logging, dashboards, tracing, and alerting for production-style services.

• Secure AI Agent Platform
  Tool execution boundaries, RBAC, audit logging, policy enforcement, sandboxing concepts, and secure AI workflow design.

I write about the systems layer behind modern AI products, including infrastructure, observability, security, distributed systems, and platform engineering.

• Security Considerations for AI Agents
• Why AI Systems Are Becoming Infrastructure
• Observability for AI-Powered Products
• Building Secure AI Workflows
• Distributed Systems Lessons from Production Apps
• Platform Engineering for Intelligent Systems

I care about building systems that are:

• Reliable in production
• Observable under failure
• Secure by design
• Scalable as usage grows
• Maintainable over time
• Useful to real people

My goal is to operate at the intersection of AI infrastructure, distributed systems, platform engineering, and security while continuing to build production systems that solve real-world problems.

LinkedIn: LinkedIn
GitHub: GitHub
Portfolio: Coming soon
NestleAI: nestleai.app