CRM Platform
Multi-tenant marketing automation and analytics processing millions of records weekly. Includes partitioned PostgreSQL, Horizon queue orchestration, and live telemetry surfaces.
Systems that think
I’m Skyrit Lai — a system architect and full-stack developer who designs high-performance infrastructures that turn complexity into clarity.
Skyrit Lai
System Architect & Builder
Behind the systems
I’m Skyrit — an engineer who thrives on structure and clarity.
I build systems where data, logic, and performance align seamlessly. From multi-tenant platforms to wallet infrastructures, my work focuses on making complexity scalable and decisions measurable.
I believe every great system starts with clarity, not just code.
Architectural Thinking
Systems are modular, observable, and evolution-ready — built to stay resilient beyond version shifts.
Data-Driven Execution
From PostgreSQL partitioning to Redis orchestration, I sweat the latency, concurrency, and 1% gains.
Builder’s Mindset
I learn fast, adapt faster, and iterate until it feels right. Good systems evolve — and so do their creators.
Systems I’ve built and refined
Each build balances architecture, observability, and the human context behind the system.
Multi-tenant marketing automation and analytics processing millions of records weekly. Includes partitioned PostgreSQL, Horizon queue orchestration, and live telemetry surfaces.
Multi-currency wallet ledger for internal FX management with group settlements, profit logic, and concurrency-safe balance upserts.
Prefect-driven orchestration automating churn prediction and deposit growth modeling, fully integrated with CRM enrichment flows.
Zero-downtime CI/CD with Docker Compose, Nginx routing, and color-coded environments for verifiable blue-green rollouts.
Insights & Notes
I document my learning process — not to show what I know, but to understand what I’ve built.
Serving multiple clients from a single codebase demands more than one database connection. I needed tenant isolation that felt seamless for developers while staying observable in production.
Analytics-heavy systems accumulate hundreds of millions of rows. At that volume, predictability matters more than raw speed, so partitioning became the backbone of every large table.
DevOps isn’t automation for automation’s sake — it’s disciplined visibility. I designed a deployment stack that stretches from the Linux kernel to Cloudflare while keeping every switch observable.
Strong engineering starts with understanding. Systems thrive when we know why data exists, not just how to store it.
Toolkit
Minimal tools, maximal leverage.
Frontend
UI flows mirror backend domains with SSR + real-time APIs.
Backend
Modular services layered with queues, caching, and events.
Database
Partitioned data models and concurrency-safe ledgers.
Analytics
Churn and behavior prediction pipelines with feedback loops.
Infrastructure
Bare-metal CI/CD and zero-downtime releases.
Monitoring
Unified tracing, dashboards, and auto-recovery guards.
Let’s build together
I’m open to technical collaborations, architecture discussions, and experimental projects where performance and creativity meet.