REST API design
Reusable endpoints that several product modules can share, rather than each feature accumulating its own near-duplicate routes.
An API is the part of a product with the longest life and the highest cost of getting wrong. I build REST APIs on Nest.js and Express with typed contracts, real authorisation boundaries, and the slow work pushed onto background queues where it belongs.
Reusable endpoints that several product modules can share, rather than each feature accumulating its own near-duplicate routes.
BullMQ job queues for work too slow for a request cycle — the FFmpeg video transcoding pipeline behind Vistana is built this way.
Secure OAuth proxies that keep credentials server-side and normalise upstream responses, so provider changes stop at the integration layer instead of reaching your frontend.
Multi-role permission models and Redis-based rate limiting on endpoints that are expensive to serve.
Projects where I have already done this, written up as case studies.
AI-powered customer engagement platform automating conversations, leads and marketing workflows.
Read case study: VoxBox MarketingBrowser-based screen recording and instant video sharing, built end to end.
Read case study: VistanaPublished TypeScript library for diffing WAV audio files and their transcripts.
Read case study: smart-audio-diffReal-time soccer player-performance analytics behind a secure Node.js OAuth proxy.
Read case study: Insider Analytics IntegrationREST APIs for a blogging platform with secure multi-role operations.
Read case study: Blogspot APIREST APIs for automatic device-to-local-storage photo backup.
Read case study: Self-Photos APINest.js once the API will grow beyond a few modules — the imposed structure and dependency injection stop it turning into a pile of route handlers. Express when the surface is genuinely small. I have shipped production systems on both.
Yes. For the Insider sports analytics integration I built a Node.js OAuth proxy that keeps API credentials server-side and normalises responses, so the frontend consumes a stable shape regardless of upstream changes.
Off the request path, onto a queue. Vistana runs FFmpeg transcoding through BullMQ background jobs, so the API stays responsive while processing happens asynchronously and the client polls for status.
If node.js api development is what you need, tell me about the system, the constraints and the timeline.