Case studies
Each of these platforms had a different constraint at its centre: throughput, precision, latency or ambiguity. The write-ups follow the architecture rather than the feature list, because the architecture is where the decisions live.
A distributed time tracking and activity intelligence platform: desktop agent, web apps and event-driven microservices, designed and shipped end to end.
Desktop agent
Kafka + dedup
BullMQ + ML API
Cache + dashboards
12
Product components
8
NestJS microservices
100×
Fewer immediate writes
FinTech · Personal Finance Platform
A B2B/B2C personal finance platform used by digital banks, where a rounding error is a customer complaint and downtime is a headline.
100K+
Financial events per day
5
Databases unified
Computer Vision · Real-Time Alerting
Real-time AI workplace safety: enterprise smoke and anomaly detection where the entire value of the system is measured in seconds.
Seconds
Incident to alert
24/7
Continuous inference
AI Platform · Multi-Agent Systems
A multi-agent platform that turns a natural language prompt into a production-ready full-stack application, and code a human can still maintain afterwards.
20+
Engineers led
50%+
Fewer integration issues
Whether it needs designing from scratch or rescuing from its own success, tell me what you’re building and I’ll tell you how I’d architect it.
Open to remote and hybrid work worldwide