Case studies

Projects

Playbooks, outcomes, and lessons learned from shipping cloud, data, and risk platforms for capital markets and fintech teams.

machine learning gcp

Delivered a global machine learning platform on GCP that detects financial crime faster while cutting infrastructure cost.

Improved model training performance by 25% through targeted platform upgrades.
Cut infrastructure spend by ~20% by eliminating drift across global environments.

cloud modernization gcp

Built a regulated-ready cloud landing zone that moved critical trading workloads to Google Cloud in under six months.

Unified batch and streaming risk calculations with Apache Beam and Dataflow to cut reporting time from hours to minutes.

Big Data Google Cloud Platform

Helped a quant fund cut strategy backtesting from eight hours to 20 minutes and ship new trading signals weekly.

capital markets liquidity

Built a greenfield matching engine that reconciled every cash movement for a tier-one bank’s liquidity and regulatory reporting.

Delivered a production-ready matching engine that reconciled 100% of cash movements for a key legal entity.
Cut reconciliation time from end-of-day batches to near real-time with an event-driven architecture.

All case studies