Selected work

Engineering and AI systems, in production

A sample of engagements across industries. Details are illustrative of the type of work we do and the outcomes we aim for on every engagement.

Fintech

Ledger & payments platform rebuild

The challenge: A growing fintech's monolithic ledger couldn't keep up with transaction volume — reconciliation ran overnight and regularly failed midway through.
Our approach: We re-architected the ledger as an event-driven system with idempotent processing, split reconciliation into parallelizable units, and migrated the dataset with zero downtime.
The outcome: The platform now reconciles continuously instead of overnight, with an audit trail the finance team trusts.

Faster reconciliation

38%

Lower infra cost

Minutes of downtime

Healthcare AI

The challenge: Clinicians were spending hours per week manually cross-referencing notes across systems that didn't talk to each other.
Our approach: We built a retrieval-augmented assistant grounded in the clinic's own records, with strict citation requirements and a human-in-the-loop review step before anything reached a chart.
The outcome: Documentation review time dropped by more than half, with every generated summary traceable back to its source record.

58%

Less review time

40k+

Notes processed monthly

100%

Citation-backed output

Logistics

The challenge: A logistics operator's dispatch system fell over under peak load, forcing dispatchers to fall back to manual routing during the busiest hours.
Our approach: We designed a purpose-built routing engine with a priority queue architecture and horizontal scaling, load-tested to several times peak historical volume.
The outcome: The system now handles thousands of concurrent routing jobs with consistent sub-second response times, even during demand spikes.

3,000+

Concurrent jobs

<200ms

Routing latency

99.99%

Uptime

Developer Platform

The challenge: Engineering velocity had stalled — deploys took days to coordinate, and no one had a clear view into production health.
Our approach: We built a self-service CI/CD and observability platform so teams could ship and monitor their own services without waiting on a central release process.
The outcome: Deploys that used to take days now take minutes, and the platform has been rolled out across a dozen engineering teams.

92%

Faster deploys

Teams onboarded

99.95%

Platform uptime

Tell us about your system and where it needs to go next.