~/blog
Notes from the field.
Writing on Django, Python, realtime systems and shipping business software that people use every day.
Featured
Founding backend engineer at Qoves Studio
What owning the backend and AI platform of a health tech SaaS looks like in practice: queues, AI processing, reports, subscriptions.
Evaluation and QA at Qoves
How AI output gets checked before a customer sees it: golden sets, tolerance gates, sampled review, and release rules.
OpenCV in production, not in notebooks
OpenCV pipelines that survive real traffic: validation, color handling, bounded memory, and what to measure.
From image analysis to a report customers trust
A computer vision pipeline is only half the product. The report the customer reads is the other half.
Evaluating AI pipelines before customers do
Evaluation sets, structured prompts, and monitoring: how we caught regressions without waiting for support tickets.
A backend security checklist I actually use
Practical hardening for Django and FastAPI services: auth, secrets, uploads, dependencies, and the boring checks that stop most attacks.
startup-founding-engineer
facial-measurements-guide
$ ./start_project.sh