Portfolio
A working portfolio of enterprise AI systems, agents, and platforms - built and refined in the open. Each project links to the underlying problem, architecture, and impact.
Reference Architecture
Business problem
Move multi-agent LLM workflows from demo to production inside a regulated trading and ops environment.
Technologies
Business impact
Reference pattern adopted for high-stakes operations flows with human-in-the-loop review and full audit trail.
Framework
Business problem
Federate data provisioning across Snowflake and Databricks with contracts, lineage, and access at global bank scale.
Technologies
Business impact
Enabled dozens of business units to self-serve trusted data while shrinking central-team review load.
Operating Model
Business problem
A defensible CAIO operating model for AI risk that keeps pace with the business.
Technologies
Business impact
Framework used to stand up AI governance functions across multiple large enterprises.
Platform
Business problem
Turn quant research notebooks into deployed, monitored services - with reproducibility and automated backtests.
Technologies
Business impact
Cut research-to-production cycle time by an order of magnitude on target strategies.
Accelerator
Business problem
Reusable primitives - retrievers, evaluators, planners, tools - so teams don't rebuild the same wheels.
Technologies
Business impact
Adopted across teams to standardize agent building blocks with shared telemetry.
Case Study
Business problem
Reframe an analytics function around decision quality and decision observability.
Technologies
Business impact
Shifted executive attention from dashboards to decisions, and tied AI investment to decision outcomes.