Product Executive · Builder · Technologist
I build enterprise products that move at scale — and AI tools that actually solve problems. Twenty years of shipping things that matter, from $100B contract platforms to Toastmasters dashboards.
About
I started as a software engineer at Fidelity Investments, crossed into financial services at Morgan Stanley, and eventually found product management — the place where technical depth, business strategy, and human insight converge. It turned out to be the sweet spot I'd been circling my whole career.
What's always driven me is something simpler than the résumé suggests: taking processes that are slow, manual, and fragmented, and turning them into streamlined, intelligent systems that move at the speed businesses need. For twelve years at Agero I did that for connected vehicle and roadside assistance platforms serving 115 million consumers. At Amazon and AWS, the problems got bigger — GenAI products, $100B+ contract lifecycle systems, agentic intake workflows, and investment platforms managing billions in annual programmatic funding.
What I do outside of work tells the other half of the story. I build AI-powered tools — dashboards, automation agents, analytics platforms — because I can't help it. The best way to understand where AI is headed is to build with it. Currently exploring ideas at the intersection of geolocation and AI for a project I'll share when it's ready.
AI Projects
A fully agentic job search workflow built on Claude Cowork. Drop a job description into a folder — it scores the role across five weighted dimensions, generates a tailored ATS-optimized résumé if the score clears 75, and archives low-fit roles automatically. Runs on a daily schedule with zero manual intervention.
Why I built this
"I was spending hours manually evaluating JDs and customizing résumés. I decided to build the tool I needed — and in doing so, learned more about agentic workflow design than any tutorial could teach me."
A standalone reference tool presenting 18 verified economic and social outcome metrics for every US president from FDR through Trump II. All data sourced directly from BEA, BLS, Census, and OMB. Deliberately framed as outcomes, not verdicts — no causation implied anywhere. Zero external dependencies, works offline.
Why I built this
"Ongoing debates about presidential economic performance kept running into bad data or obvious framing. I wanted one trustworthy reference — transparent methodology, primary sources only, politically neutral by design."
A hosted web application that automates the end-to-end process of promoting Toastmasters club meetings on Facebook. Reads event details from Google Sheets, generates QR codes, composites flyer images using Python Pillow, and posts to the District 31 Facebook Page — all from a browser, no technical knowledge required.
Why I built this
"The District Director was spending 30+ minutes per club post doing repetitive manual steps. I mapped the workflow, identified every automatable step, and built a tool that any future officer can use with zero training."
A single-file HTML dashboard tracking performance data for all 138 clubs across District 31 Toastmasters (Massachusetts & Rhode Island). Eight tab views, auto-CSV ingestion from GitHub Pages, year-over-year comparison, snapshot trend charts, and drill-down modals per KPI. Used by district leadership to drive coaching decisions.
Why I built this
"Leadership was working from static spreadsheets and couldn't see trends over time. I applied the same product thinking I'd use at work — defined the right metrics, designed for non-technical users, and built something they'd actually open every week."
An incentive program tracker for District 31's District Bucks program, covering three quarterly incentives: Up Your Game (consecutive DCP education points), Membership Building (new member acquisition), and Pathways Level Up (top 5 clubs by unique Pathways completions). Features club drill-down modals and full Education Achievements history.
Why I built this
"Clubs had no easy way to see where they stood in the incentive program mid-season. Visibility drives behavior — once clubs could see their streak and ranking in real time, engagement went up noticeably."
A data-sourced statistical comparison of Federer, Nadal, and Djokovic across 12+ dimensions — Grand Slams, serve and return metrics, Elo ratings, head-to-head records, surface win rates, prime years analysis, and surface simulations. All figures sourced from ATP Tour official data, Tennis Abstract, and primary match charting sources.
Why I built this
"The GOAT debate generates more heat than light. I wanted one rigorous, sourced reference where the data does the talking — same philosophy as the Presidential Dashboard, different arena."
Experience
L6 Technical Product Manager — AWS Investments & Alexa
Built mission-critical financial systems at AWS scale — a contract lifecycle management platform automating Private Pricing Agreements, GenAI intake and routing for the Generative AI Innovation Center, funding and deal-shaping tools for AWS Growth Initiatives, and a two-way sales program matching console used by the entire AWS field sales organization. Also spent time in the Alexa org building the ML data preparation platform used by 3,000+ scientists.
Principal Engagement Manager II
Managed delivery for two tier-1 P&C insurance clients on a smartphone-based driving data platform, covering distracted driving detection, usage-based insurance, crash and claims, and mobile sensor data processing.
Product & Program Management Consultant
Took over a troubled $20M program to migrate Zipcar's reservation platform across North America and the UK. Directed 40 developers, 7 product managers, and 3 UX designers. Delivered the final London market migration on time and under budget. Also led the company-wide transition to Agile, moving 150 product and engineering employees to Scrum within 6 weeks.
Senior Director, Product & Program Management
Twelve years building enterprise products for one of the largest connected vehicle and roadside assistance platforms in the US — serving 115 million consumers in partnership with auto manufacturers and insurance carriers. Delivered a direct access insurance integration that saved $2.7M annually and lifted client satisfaction from 91% to 95%. Identified and resolved a critical billing flaw recovering $10M–$12M annually in previously lost revenue. Spearheaded 10+ connected vehicle integrations with global automotive OEMs and pioneered a first-of-its-kind Visual IVR platform.
Software Engineer · Fidelity Investments (2001–2005) · Financial Advisor · Morgan Stanley (2005–2006) · Financial Consultant · New England Financial (2006–2007)
Started as a software engineer at Fidelity, helping build a $30M B2B platform for registered investment advisors that saved $32M in annual costs. Then crossed into financial services — first at Morgan Stanley, then New England Financial — managing a $3M book of brokerage and retirement assets across investments, retirement planning, estate planning, and insurance. This combination of engineering depth and financial fluency has shaped every product decision since.
Skills
Speaking & Training
Spoke on a GenAI panel at an Amazon-wide conference for engineers, TPMs, PMs, and leaders across the company — sharing perspectives on practical AI product development, agentic workflows, and where enterprise AI is heading.
A one-hour approachable introduction to AI for senior residents at an assisted living facility — no jargon, no fear. Covered letter writing, understanding medical terms, recipe help, and live Claude demos. Designed from the ground up for a non-technical audience.
On making AI accessible
"If you can type a question, you can use AI."
A 60-minute virtual workshop for NYC metro Toastmasters club officers — turning AI tools into real content leverage. Covered magnetic marketing content, NotebookLM podcast generation, video creation, bio polishing, and LinkedIn presence. Every attendee left with a working prompt toolkit.
The session's opening line
"AI doesn't replace your voice. It amplifies it."
Two training sessions for club officers across Massachusetts and Rhode Island — practical, hands-on guidance on using AI tools like NotebookLM, Claude, and others to reduce workload, create better content, and run more effective clubs.