AI Operations Analyst
I build reliable AI systems and automate operational workflows.
Recent Work
Selected projects demonstrating workflow optimization, AI implementation, and systems automation across fintech, edtech, and B2B SaaS.
Services
I build and optimize operational systems for teams implementing AI at scale. Drawing on production automation experience at Ralph Lauren and AI evaluation work with leading labs, I design workflows that hold up in real organizational contexts.
System Infrastructure & Process Architecture
Build scalable system infrastructure and process architecture for complex operations. Create standardized workflows that maintain consistency while enabling rapid iteration and reliable implementation.
Infrastructure & Automation Systems
Develop infrastructure with standardized components and automation systems. Proven track record reducing handoff errors by 30% and accelerating workflow cycles by 20%.
Information ArchitectureOperations Strategy
Structure complex data and workflows through clear categorization and operational systems. Specialize in making high-density information scannable and actionable for operational teams.
AI Implementation & Workflow Automation
Implement AI-powered automation using modern tools (Claude, MCP) to optimize workflows quickly. Bridge business requirements and technical implementation through systems-focused approach.
Process
I combine systems thinking with hands-on implementation. My solutions work in real operational contexts because I build them with operational teams, not in isolation.
The Operator
Systems Thinking Meets Hands-On Implementation
I started as a jewelry and fashion photographer, where success is measured in composition and light. That obsession with visual precision led me to Ralph Lauren, where I spent 2.5 years as a Digital Technician, acting as the brand's visual gatekeeper between Art Directors' creative vision and the technical demands of global production.
But while the studio ran on established systems, I kept seeing inefficiencies in our production cycles. I built custom JavaScript tools for daily workflows and researched emerging tech to keep us ahead. When I redesigned the logic of a core Ralph Lauren workflow, we increased seasonal production volume while cutting operational costs significantly. That's when it clicked: systemic design could solve massive business problems. I wanted to do more of that, but in a space that was being fundamentally redefined.
By late 2023, AI wasn't a buzzword for me anymore. It was clear that it would redefine how humans and computers interact, and I wanted to be there from the beginning. I started taking on AI operations work while still at Ralph Lauren, designing conversational interfaces and trust systems for early-stage startups. It was a deliberate stress test: could I actually make this transition?
By mid-2024, I had my answer. I left Ralph Lauren, completed Columbia's UX/UI certification to formalize my expertise, and committed full-time to AI Operations. Since then, I've worked with startups building conversational AI for 50K+ educators, trust architectures for finance teams burned by black-box systems, and evaluated frontier models for leading AI labs to understand how AI behaves when it fails.
Here's what I've learned: the hardest problems in AI aren't about polish or features. They're about trust. How do you design systems users can rely on when AI can't promise certainty? How do you make black-box algorithms feel transparent? I've spent the last 18 months intentionally working across AI product categories to answer those questions. Now I'm looking for the right full-time opportunity to apply everything I've learned.
Workflow Automation
AI Implementation
System Operations
Partner with Jay Arora
Ready to architect your next intelligent system