40m/Experience

Experience

My work connects business judgment with hands-on technology. From equity research to firm-wide AI strategy, I learn how teams work, identify the problems worth solving, and help turn a working product into something people use.

1. 2025 to present

   AI and Marketing

   • I help market a cancer treatment device that is still moving through FDA clearance, which means every claim has to hold up before it goes anywhere. Most of that work is positioning and materials: the pitch deck, the public website, and a portal where investors can request access to diligence documents.
   • On the AI side, I look for repetitive work in clinical and operational workflows and automate the parts that are safe to automate, which so far saves the team about five hours a week. What I find most interesting is the constraint itself: in a regulated field, deciding what not to automate matters as much as what you build.
   • I also support investor relations, which keeps me close to how the company explains its science to people outside it.

2. 2026

   Vice President, AI & Innovation at ICR

   • I helped lead and shape the firm's AI strategy across research, training, and figuring out where AI could genuinely help day to day. A lot of the job was listening: sitting with practice teams, learning how they worked, and finding the handful of tasks where a tool would save real time.
   • From there, we built an internal AI platform and a set of custom apps for specific teams, like media monitoring and research tools, usually putting a working prototype in front of people within a few weeks. Underneath it sat a retrieval layer over the firm's document archive, so answers came back grounded in the firm's own material.
   • We measured adoption instead of assuming it. Training was built around each role's real workflows, and usage across the roughly 400-person firm reached about 61%. That taught me more than any single build: a tool only matters if people choose to use it.

3. 2024

   Equity Research Analyst at Manatuck Hill Partners

   • This is where I learned to think in probabilities. The work was forming a view on a company, testing it against the numbers and against management, and being honest about how confident the evidence actually let me be.
   • I researched themes across AI, nuclear energy, and precious metals, took part in management interviews, and helped with portfolio reporting and due diligence. I also built a small system to pull research from many sources into one place, my first real experience building tools for my own work.

4. 2023

   AI product manager at an early-stage healthcare AI startup

   • I worked with a team of four developers on an AI platform for people navigating healthcare careers. I owned product direction, which in practice meant deciding what to build next, writing it down clearly, and keeping the team unblocked.
   • We built on Python, React Native, and MongoDB. It was my first time turning user problems into specs for engineers, and it still shapes how I think about product.

5. 2022 to 2023

   Software product manager at an early-stage software company

   • My first product role. I worked on community and marketing tools for AI companies, including automated marketing products that three clients used.
   • It taught me the basics I still rely on: talk to the people using it, ship small, and watch what they actually do with what you made.