2024: GenAI APIs and microservices

Fewer repositories, more of them private: 11 in the year, 6 of them private. For the first time more than half the work is not public, which is what it looks like when learning turns into client work.¹

What happened

• LLM-powered APIs. AI-Powered-APIs and GPT Actions in February and March, then two resume tools, a generator and a CV optimiser, in July.²
• Production microservices. An online-mart platform with separate customer and admin APIs in July.
• A real client. A plant-identification app, built in August and reworked as microservices in October and November. It is private, and it is the first line in this record that a customer paid for.
• FastAPI as the backbone. Every AI feature shipped as a documented API.²

The public repositories

Private work

Six private repositories: the online-mart admin API, two resume tools (a generator and a CV optimiser), and three repositories of a plant-identification app for a real client: the app, its microservice, and the identification service.¹ They are counted here and never named.

What this era taught

LLMs are only useful when wrapped in reliable services that a business can call.²

Next: 2025: AI agents.

Footnotes

1. GitHub API, repositories owned by rrizwan98, read 26 August 2026: 11 repositories created in 2024 (5 public, 6 private). ↩ ↩²

2. From Predictive AI to Forward Deployed Engineer: My 6-Year Journey, Raza Rizwan, July 2026. ↩ ↩² ↩³