

Product leader & founder building AI products — currently LegendCraft, an AI picture-book company I run solo with a small army of AI agents.
Over six years I've gone from PM to Director to founder, across ML pipelines, real-time ad systems, identity graphs, and consumer AI. I like owning products end to end: strategy, code, and everything between.
Off the clock: tennis, squash, golf, and trails. Four cities shaped me — Milan, Boston, New York, and now Paris.

AI-personalized picture books children keep forever.
LegendCraft turns a child into the genuine hero of a printed, hardcover picture book. Not just a face swap: physical traits, personality, fears, and real-life challenges are woven into the story, so kids — including kids in wheelchairs, with birthmarks, with any hair texture or background — see a truly accurate version of themselves as the legend of their own story.
AI-generated content is generic and disposable; its real power shows when it produces something permanent. LegendCraft bridges the AI world and the physical world — a book a child keeps under their pillow.

An open source framework for automating your job applications, built for the agentic era.
JobFlow automates everything after you find a role you want: a Chrome extension captures job posts into a queue, tailored resumes are generated from sealed blueprints, screening questions are answered from your personal knowledge base, and a local dashboard tracks every application from Queued to Interview.
Generic LLM resume tools hallucinate. JobFlow is local-first and structurally honest — sealed blueprints and ATS whitelists make fabrication impossible by design, not by prompt.

Essays on AI-native building, product leadership, and going zero-to-one solo. Coming soon.
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Founder · 2026 – present
Founded and built LegendCraft alone — an AI-powered personalized picture-book platform, live at legendcraft.io with full e-commerce from AI generation through Stripe checkout to hardcover print fulfillment. The thesis: AI's generative power matters most when it produces something permanent, so children become the genuine heroes of printed stories tailored to their real lives, with representation as a first-class feature.
Architected the whole stack end to end: a React frontend, Supabase backend, and a multi-stage AI pipeline orchestrating Claude for narrative and Gemini for illustration — including solving multi-character visual consistency, the hardest technical problem in AI picture books, plus a 4-metric evaluation model that scores every generated page.
The company runs on a self-built multi-agent AI operating system spanning PM, engineering, growth, and creative agents — one person operating as a multi-person team.
Senior Product Manager · Oct 2025 – Apr 2026
Owned the identity and data infrastructure layer at Vibe.co, a CTV advertising platform, with a mandate to maximize audience addressability for US advertisers.
Built Vibe's CTV Identity Graph from the ground up in direct collaboration with the CTO, integrating bid-stream, demographic, B2B, and publisher identity signals into a single resolution pipeline — and incubated the Account-Based Marketing business unit from concept to near-GA on top of it.
In Q4 2025 launched the first ABM campaign powered entirely by the proprietary graph, bypassing LiveRamp — proof the graph stood on its own. Also established the company's data catalog, governance, and SOX compliance policies.
Lead Product Manager · May 2025 – Oct 2025
Led two modules at Pelico, an AI-driven supply-chain orchestration platform for discrete manufacturers backed by General Catalyst — Microsoft Startup of the Year 2024.
Took a greenfield Inventory Management module from MVP to General Availability within a five-month tenure, onboarding three pilot clients and identifying roughly €1M in inventory-overhang reduction opportunities across them.
Introduced structured agile ceremonies to a team that lacked them, and used AI-assisted prototyping to compress the discovery-to-demo cycle from weeks to days.
PM → Senior PM → Director of Product · Oct 2022 – May 2025
Joined the TV ad-tech company as a PM and was promoted twice in roughly two years, ultimately directing the data science and analytics roadmap, all data partnerships, and a team of three PMs.
Led end-to-end development of Simulmedia's first ML campaign-optimization algorithm, which improved average campaign performance by 32% and was the central driver of CTV revenue growth from $5M to $30M+ over two years.
Directed the build of a proprietary real-time programmatic bidder from scratch — 50,000 QPS at ≤20ms latency in production — and launched an incrementality measurement product spanning both linear TV and CTV that the sales team used to secure $10M+ in renewals and new revenue within three months.
Along the way: a GenAI data-labeling pipeline that became training data for the reach models, a TransUnion data-monetization partnership worth $1M in net new annual revenue, sign-off authority on the $5M annual data budget, and the MVP launch of Skybeam, Simulmedia's self-serve CTV platform for SMBs.
Product Manager · Sep 2020 – Oct 2022
Early PM at Madison Logic, a B2B account-based marketing platform, during its scale from $50M to $200M ARR.
Led the scalability overhaul of the internal campaign automation console, cutting campaign setup time by 70%, then exposed the workflow to clients as a self-service portal whose shared-accountability model reduced refunds by roughly 15%.
Built API integrations with Marketo, Eloqua, and Pardot for closed-loop reporting, and won the company's 2021 Technology Impact Award.
AWorld · Search Fund Accelerator · 2017 – 2020
At AWorld — the sustainability app later selected as the official app of the UN's ActNow campaign — researched and quantified the verified environmental impact of 30+ habits powering the app's impact-tracking engine.
Before that, as a private equity analyst at Search Fund Accelerator in Boston, built financial models for acquisition deal sourcing and increased weekly deal lead generation by 20% while managing a five-person intern team.
Columbia University · Boston University · —
M.S. in Applied Analytics from Columbia University, concentrated in data science and machine learning.
Thesis: an NLP classification model (scikit-learn, NLTK) predicting the political affiliation of tweets with 80% accuracy, using sentiment analysis to map ideological differences across topics.
B.S. in Business Administration from Boston University.







