Backend & Distributed Systems
Resilient services built for scale — event-driven, observable, and fault tolerant by design.
$ A software studio led by Bhajanpreet Singh — known online as codey-singh. We build resilient backend systems, developer-friendly APIs, and web experiences that hold up under real-world load.
Full-stack capability with a backend and systems bias — everything needed to take a product from idea to production.
Resilient services built for scale — event-driven, observable, and fault tolerant by design.
REST and GraphQL APIs with clear contracts, versioning, and documentation developers enjoy.
Cloud-native architecture, CI/CD, and infrastructure that deploys safely and scales on demand.
Fast, accessible interfaces and full-stack products that turn ideas into polished experiences.
A snapshot of the systems, APIs, and tools that power the products we work on.
A multi-tenant web platform handling millions of requests with high availability and fault tolerance.
View projectREST and GraphQL APIs with comprehensive documentation, monitoring, and a great developer experience.
View projectOpen source tools and documentation that help teams ship faster with fewer surprises.
View projectCodey Singh Technologies Limited is led by Bhajanpreet Singh, a senior software developer with 8+ years building highly scalable web applications across JavaScript, Node.js, cloud infrastructure, and distributed systems.
Today he works at Ceridian Dayforce in Canada, and previously led engineering workstreams at Smartbox and delivered enterprise applications at Cognizant.
The studio is built on a simple belief: great software comes from strong engineering culture, clear documentation, and systems that let teams move fast without sacrificing reliability.
We frame the problem, map constraints, and design a system that can grow with you.
Iterative delivery with reviews, automated testing, and continuous integration.
Safe deployments, observability, and improvements driven by real usage.
Whether it's a new product, a platform that needs to scale, or an API others will build on — we'd love to hear about it.