Production Python and Rust systems — vulnerability-management platforms, high-throughput data pipelines, and the occasional open-source library that takes lifetimes a little too seriously.
— or read the writing ↓
A mix of production systems I’ve led at work and libraries I maintain in the open. Most are Python or Rust, all care about correctness.
A compile-time dependency-injection framework for Rust, inspired by Axum’s typed extractor model. Procedural and attribute macros generate typed providers for field and constructor injection, scopes, third-party factories, and optional Axum integration—so missing registrations, cycles, and scope mismatches surface before serving requests.
A Model Context Protocol server and client for Lauren applications. Expose any Lauren service as an MCP tool endpoint, or wire remote MCP tools into a Lauren AI agent in one line while keeping schemas, transports, and tool discovery in the framework’s dependency-injected model.
Decorators are one of Python's most powerful metaprogramming tools, widely used in the industry to write cleaner, more maintainable code.
Learn how to protect your FastAPI applications with composable security decorators, lazy dependency injection, and clean architecture using FastAPI Shield.
Discover how self-referencing tables and recursive SQL CTEs can replace repetitive application logic, reduce round-trips, and power subtree filtering and breadcrumb navigation.
Learn how to improve TypeScript's opaque type pattern for better protection when working with encrypted strings and sensitive data.
Learn how to extend Nox with custom decorators and classes to create a more flexible, powerful automation system for your Python projects.
Events Jim Chng attends will appear here.
I’m Jim Chng — a Singapore-based software engineer who started in aerospace, took a long detour through a Ph.D. in electrical engineering at NTU, and ended up writing production Python and Rust for financial institutions.
I build backend systems, developer tooling, and data platforms. At Eastspring Investments I led MAV, a Python data-integrity framework processing up to 113 GB of financial data a day.
On my own time I write Rust crates that take the type system seriously, Python libraries that make FastAPI a little nicer to live with, and the occasional WebAssembly project that puts the whole language in a browser tab.
Led MAV — a Python data-integrity framework processing 2.7 – 113 GB of Bloomberg / Refinitiv / Aladdin data daily across 320+ dataset types. Built the alerting ecosystem and PySpark transformations on Databricks.
Architected CI/CD and MLOps workflows on Jenkins, OpenShift and Kubernetes; integrated MLflow + CDSW for the model lifecycle; stood up REST APIs for serving with stress-testing via Locust.
Built sgTuitionsBot — a Telegram-bot platform that became the market-leading tuition channel in Singapore, with 10 k+ subscribers and 28 k+ matches. Exited via acquisition to a private tuition agency.
Top graduate of Aerospace Engineering 2016, Lee Kuan Yew Gold Medallist, IES Gold Medallist. Plus an MBA from Quantic and a Specialist Diploma from DigiPen for good measure.