Serverless & AI Engineering · AWS Community Builder · Cursor Ambassador · Mentor @ Tech Leads Club · AWS Certified Developer
I design production-grade software and AI engineering workflows for teams building real systems, not experiments. My work connects cloud-native architecture, serverless platforms, context engineering, and LLM-assisted development to create scalable, secure, and reproducible engineering practices.
Currently focused on bridging traditional software architecture with AI Engineering: building agent capabilities, spec-driven development workflows, context-sharing strategies, and practical AI adoption patterns for distributed teams.
I care about evolutionary architectures, pragmatic engineering, developer experience, and turning complex technology into reliable systems that deliver business value.
Agent Skills is a secure and validated skill registry for professional AI coding agents, helping teams extend tools like Cursor, Claude Code, GitHub Copilot, Antigravity and others with reusable, auditable, and production-oriented capabilities. It is part of my work on making AI-assisted software engineering more structured, reproducible, and safe, moving teams beyond experimental workflows into disciplined engineering practices.
- AI Engineering: LLM-assisted development, agent workflows, context engineering, MCPs, RAG, local models, and AI governance.
- Cloud & Architecture: AWS, serverless, event-driven systems, distributed architectures, observability, and cost-aware engineering.
- Software Engineering: TypeScript, React, Node.js, NestJS, Clean Architecture, DDD, CI/CD, and technical leadership.
- Building practical AI engineering workflows for real software teams
- Standardizing agent capabilities through reusable skills and shared context
- Turning “vibe coding” into spec-driven, auditable, and reproducible engineering
- Exploring the intersection of AWS serverless infrastructure and AI workloads
- Mentoring developers and technical leaders on modern software delivery