Work that proves it.
Three production case studies with the problem, the architecture, and the one metric that proved the work.
Digital advertising, multi-client agency
AdvertMate
60% API latency reduction. Copy time: 2 hours to 8 minutes per client.
Problem
"We were manually writing ad copy for 40 clients. It was 3 people's full-time job."
What we built
A custom CRM platform with AI-assisted content creation, automated client data sync, and faster response performance.
Outcome
60% API latency reduction. Copy time: 2 hours to 8 minutes per client.
60% API latency reduction
Copy time: 2 hours -> 8 minutes per client
US CPA firms / accounting automation
ClearBooks
70% reduction in document processing time. Zero missed line items.
Problem
"Our team spent 6 hours per client per month just parsing documents."
What we built
An AI document workflow that reads records, categorizes information, and flags anomalies before human review.
Outcome
70% reduction in document processing time. Zero missed line items.
70% reduction in processing time
Document workflows compressed without losing accounting detail.
DevOps / SRE teams at scaling startups
PulseOps
Mean time to acknowledge (MTTA) dropped from 14 minutes to under 90 seconds.
Problem
"We found out about incidents from users. Not our own systems."
What we built
A live incident platform with instant alerts, smart issue routing, and faster team coordination during outages.
Outcome
Mean time to acknowledge (MTTA) dropped from 14 minutes to under 90 seconds.
MTTA: 14 min -> under 90 sec
Incident response moved from reactive support to proactive operations.