Backend Platforms
Secure APIs, distributed services, integrations, event-driven systems, and cloud-native foundations that are built to evolve.
Available for engineering consultations
Designing and delivering production software across web, cloud, and AI.
I help organizations design, build, and modernize production software across web applications, backend platforms, cloud infrastructure, and AI-enabled workflows.
My work brings technical clarity to complex initiatives: aligning product goals, shaping scalable architecture, delivering dependable code, and improving the systems teams rely on to ship with confidence.
Product Engineering
Full-stack applications, APIs, integrations, and user-facing features built for business-critical workflows.
Architecture
Scalable backend foundations, clean service boundaries, cloud infrastructure, and delivery practices that support growth.
AI Capability
Practical LLM integrations, automation, structured workflows, and AI features aligned with organizational goals.
What I Build
I work across the full delivery path: understanding requirements, shaping architecture, writing maintainable code, and helping teams ship with confidence.
Web Applications
Responsive frontend experiences using modern JavaScript frameworks, clean interaction patterns, and practical component systems.
AI Features
LLM API integrations, prompt workflows, structured outputs, function calling, retrieval patterns, and agent-style application behavior.
Technology Stack
A practical stack for building, testing, deploying, and improving modern software products.
- Node.js
- TypeScript
- Java
- Spring Boot
- NestJS
- React
- Next.js
- Angular
- React Native
- Flutter
- AWS
- Google Cloud
- Kubernetes
- Docker
- Terraform
- PostgreSQL
- MongoDB
- Redis
- Jest
- Playwright
- GitHub Actions
- LLM APIs
- RAG
- AI Agents
Current Focus
I am focused on building software systems that combine strong engineering fundamentals with practical AI capabilities and reliable delivery.
Engineering Direction
Practical AI, clean architecture, and delivery systems that hold up in production.
My current work sits at the intersection of full-stack product engineering, cloud-native backend design, and AI-supported development workflows.
Production AI Features
LLM APIs, structured outputs, function calling, agents, and RAG patterns designed for real product behavior.
Backend Architecture
Secure APIs, clean service boundaries, reliable integrations, and scalable cloud infrastructure.
Developer Workflows
AI-assisted code review, test generation, documentation, CI/CD improvements, and release automation.
System Quality
Maintainability, observability, security, and architecture decisions that support long-term business use.
Blog
Short notes on practical software engineering, AI application development, and the delivery systems that help teams ship with confidence.
Building AI Features That Survive Production
A practical note on treating LLM integrations like product systems: clear boundaries, measurable behavior, fallback paths, and observability from the start.