I pair Purdue-honed data science fundamentals with hands-on platform engineering to orchestrate reliable agents, telemetry, and guardrails that keep enterprise workflows fast, auditable, and secure.
May 2025 - Present · Morrisville, NC
Designing and deploying MCP-orchestrated agents inside a financial data management platform, enabling family offices and RIAs to process reconciliation, reporting, and request routing ~3x faster with <1% failure rates.
May 2024 - May 2025
Automated MFA/OTP retrieval, stabilised 1,000+ nightly jobs to ~99% success, and codified GitHub Copilot onboarding so engineers ship production-ready agents in hours instead of days.
Select achievements
Championed secure-by-default practices with cloud key management and RBAC, built telemetry dashboards that cut manual reruns 90%, and proved AI automation ROI for finance stakeholders.
I translate research into production-grade automation by combining LLM agents with structured telemetry, secure-by-default architecture, and measurable business outcomes.
AI & Automation
Cloud & DevOps
Data & ML
Enterprise Platforms
Purdue University
B.S. Mathematics-Computer Science · Data Science · Applied Statistics · Expected Dec 2025