About

My path to product management wasn't traditional. I left college early to build businesses—and quickly realized that launching a company meant learning how to do everything myself. I picked up full-stack development through bootcamps, taught myself marketing, and learned product by necessity: when something broke, I fixed it. When no one showed up, I figured out why.

Over time, that turned into a real skillset: building, shipping, and aligning teams around things that actually work.

Today, I'm an AI Product Manager focused on tying LLMs, automation systems, and product delivery to measurable business outcomes. I care about impact first—whether that's improving roadmap focus, launching internal prioritization tools, or aligning cross-functional teams around the right problem.

My product philosophy is simple: when team goals orbit business goals, things work. When they don't, even "successful" features can quietly fail.

Experience

I’ve worked across zero-to-one startups, internal platforms, and AI consulting teams—where the challenge isn’t just building fast, it’s building with purpose. My work spans the full product lifecycle and go-to-market strategy—from sketching out early prototypes to launching production-ready systems and driving market adoption with measurable business impact.

Along the way, I've delivered projects involving:

• LLMs & Generative AI — real-time content scoring engines, prompt workflows, automation triggers
• AI Systems Planning — internal prioritization frameworks and scoring models adopted org-wide
• MLOps & Model Evaluation — surfaced high-ROI use cases, tracked pilot-to-production success
• User-Centric Interfaces — redesigned onboarding flows and automation experiences to improve adoption
• Cross-Functional Leadership — worked across engineering, design, AI research, and ops to ship fast and stay aligned

I've led distributed, multi-disciplinary teams—including engineers, data scientists, and business stakeholders—and I thrive in ambiguous spaces where technical complexity meets business pressure.

Whether it's launching an AI feature, developing go-to-market campaigns, or untangling a broken roadmap, I'm focused on building what matters—and getting it out the door.

Product

I build AI products that solve real problems, are strategically aligned, and deliver measurable impact.

My approach starts with business outcomes—not novelty. Whether it's planning an LLM-based feature or designing an internal scoring tool, I focus on clarity, iteration, and cross-functional execution. That means fewer "what ifs" and more "what works."

Areas I specialize in:

• AI Product Strategy — aligning roadmap bets with business impact, not feature requests
• LLM & Automation Design — turning GenAI into workflows that users actually adopt
• System Thinking — building reusable frameworks, not one-off tools
• Metrics & Instrumentation — measuring what matters, making it visible
• Stakeholder Alignment — making sure product, engineering, and ops don't talk past each other

If it's not measurable, usable, and connected to company goals, it's not done yet.

Projects