Full-Stack
Full-stack systems engineer specializing in scalable architectures, CI/CD pipelines, and AI integration. I design, deploy, and optimize production-grade systems — from ERP platforms to AI-driven applications.
Philosophy
The Mindset Behind the Code.
I don't just write code — I build products. My journey started with a fascination for how complex systems interact, which evolved into a career focused on bridging the gap between business goals and technical excellence.
I believe great software is invisible. It should be so intuitive and performant that the user forgets they're interacting with a machine. That philosophy drives every architectural decision I make.
When I'm not architecting systems, you'll find me exploring the latest in AI, contributing to open source, or helping the next generation of engineers find their footing.
Featured Work
Production Systems
Systems I've designed, built, and shipped to production. Each project includes architecture decisions, deployment strategy, and real engineering challenges.
Infrastructure
How I Ship
Systems thinking from local dev to production. Every project ships with a real deployment strategy.
Deployment
Vercel · VPS (Nginx) · Supabase
Zero-downtime deploys, edge functions, managed Postgres, and self-hosted custom architecture
CI/CD
GitHub Actions
Automated lint → type-check → build → deploy pipelines on every push
Automation
Webhooks · Cron jobs · Realtime subscriptions
Auto-scheduling, background sync, Supabase Realtime for live data
Observability
Error Tracking · Logs · Uptime · Alerts
Full observability stack: error tracking with source maps, structured logging, uptime checks, and real-time alerting — every production system is instrumented from day one
Security
Row Level Security · Bot protection · RBAC
Postgres RLS for tenant isolation, permission-based access control, bot protection on public endpoints
✓ Build completed in 23s
✓ Tests passed (142 passing, 0 failing)
✓ Docker image pushed → registry
✓ Deployed to production · 0 downtime
$
Engineering Philosophy
How I Think
Engineering isn't just about writing code. It's about making the right decisions under constraints.
01
Understand the system
Before writing code, I map data flows, user journeys, and failure modes. Architecture diagrams come before component trees.
02
Ship incrementally
I break every feature into deployable increments. Each PR is a complete, tested unit. Big-bang releases are a code smell.
03
Automate everything repeatable
If I do something twice, the third time is automated. CI/CD, data backups, alerts — machines handle the repetitive work.
04
Optimize with evidence
I profile before optimizing. Lighthouse scores, query plans, and real user metrics drive performance decisions — not intuition.
AI Engineering
AI Engineering & Workflow
AI is a tool, not a product. I integrate AI APIs into production systems and use AI-assisted development to ship faster without sacrificing quality.
AI Integration
OpenAI GPT-4 API — content generation, analysis, and embeddings
Google Gemini API — multimodal processing and reasoning
Prompt engineering with versioned prompt templates
Cost optimization through smart caching and model selection
AI Development Workflow
Cursor IDE — AI-assisted coding and refactoring
GitHub Copilot — accelerated development
ChatGPT — architecture planning, debugging, and documentation
AI-powered code review and optimization
Real-World AI Applications
Automated content generation pipelines
AI-assisted data analysis and reporting
Intelligent form validation and user input processing
Natural language to SQL query generation
Get in touch
Have a project in mind? Let's talk.
Open to full-time remote roles, freelance projects, and interesting collaborations. I'll get back within 24 hours.