12 projects across quant engineering, product, and AI.
Unified fragmented collateral exposure data across global vendors into a single source of truth — eliminating ~80% of manual reporting, enabling tracking of $500M+ in daily exposure, and achieving global adoption across risk, legal, and trading teams.
Replaced fragmented spreadsheets with real-time PnL visibility across 10+ global trading desks. Cut reconciliation time by ~75%.
Unified fragmented on-prem and cloud ML workflows into a Kubernetes-orchestrated platform with standardized CI/CD pipelines.
Policy-driven system modeling capital deployment and collateral monitoring for lender-funded investment platforms, with a simulation layer for scenario testing.
Human-in-the-loop evaluation framework for AI agents at Meta — multi-dimensional scoring and feedback loops that improved response quality by ~25%.
Embedded LLM-powered anomaly detection into compliance workflows — cutting audit cycles by 40% and manual review work by 60%.
Automated credit and margin workflows across 33 counterparties — saving $2M+ annually and eliminating 99.5% of manual effort.
Deployed NLP-powered semantic search across a risk analytics platform for 5,000+ users — boosting engagement by 25%.
Unified Bloomberg, Yahoo Finance, and Yieldbook ingestion into a canonical data layer — cutting latency 35% and enabling real-time trade visibility.
Tokenizing real-world bonds into fractional, programmable financial assets — bringing institutional-grade fixed income to retail investors via ERC-3643 compliance standards.
A centralized financial health record that aggregates client data, documents, and AI-generated insights into a single advisor interface — built on GraphRAG.
A multi-agent system for LPs and GPs that continuously monitors portfolios and surfaces actionable nudges for allocation, risk, and liquidity — moving beyond static dashboards.