I design and ship production systems for high-volume operational workflows, with a focus on scalability, reliability, security, and operator-friendly UX.
My experience includes architecting client-facing systems for viral F&B ticketing, distribution operations, and bulk data workflows — the kind where thousands of users compete for limited tickets simultaneously and the system has to stay fast under extreme load. I care about building systems that handle traffic spikes without breaking, remain clear for real operators, and hold up in real business environments.
I use AI as an engineering multiplier, not a substitute for judgment. I define the architecture, constraints, and quality standards first, then use AI to accelerate implementation, testing, and iteration with strict human validation.
My work sits at the intersection of system design, secure engineering, data-heavy backend workflows, and reliable software delivery.
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High-Traffic Ticketing Systems Viral F&B ticketing platforms built to handle massive concurrent demand — war-ticket scenarios where thousands compete in real time
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High-Volume Data Flows Bulk actions, mass update flows, and large-scale record processing designed for performance and control
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Scalable Backends Database-heavy systems, performance-conscious APIs, caching strategies, and data integrity controls
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UX for Real Operators Interfaces designed to stay clear, fast, and dependable in high-pressure workflows
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Secure Systems Field encryption, audit-friendly logging, controlled data access, and validation-first engineering
| Domain | Technologies |
|---|---|
| Systems & Backend | Rust, Go, Python, PostgreSQL, SQLx |
| API & Application | REST, GraphQL, Next.js, Svelte |
| Security & Data | AES-256-GCM, HKDF, HMAC, PostgreSQL, Redis, SQLite |
| Infrastructure | Docker, GitHub Actions, Linux |
| Engineering Workflow | AI-assisted development, automated testing, CI/CD, quality gates |
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Architecture first Design the data flow, constraints, and failure modes before implementation
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Usability matters A system is not finished if it works technically but slows down real operators
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Human-led, AI-accelerated AI improves execution speed, but engineering judgment stays with me
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Reliable by design Validation, observability, and maintainability are built in from the start
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Practical scaling Build for current load, prepare for growth, and avoid premature complexity
Building Enkastela, an open-source field encryption library for PostgreSQL written in Rust.
It brings application-level encryption to PostgreSQL workflows so the database never sees plaintext, with support for authenticated encryption, blind indexes for searchable encryption, key rotation, crypto-shredding, and strong automated validation through tests and CI.
Open to selective consulting and architecture review engagements.
