Experience

  1. Technical Product Manager, AI Deployments

    Harvard Rock Center for Entrepreneurship
    • Managed product development for a global AI mentorship platform used by thousands of entrepreneurs in developing markets in India/LATAM.
    • Worked with engineering and customer support teams to roll out MVP from prototype to live product in three months, and created live dashboard tracking KPIs across key success metrics such as user engagement, retention, and feature adoption.
    • Conducted 50+ user interviews to surface pain points and develop new analytics frameworks supporting product improvements.
    • Ran iterative testing cycles using prompt A/B experiments to increase user engagement and satisfaction, resulting in a 79 NPS score.
    • Defined AI roadmap with cross-functional stakeholders to align user needs, technical feasibility, and organizational goals.

  2. Technical Product Manager, AI

    Arcules Cloud (acq. by Canon Inc.)
    • Managed research, development and launch of a new SaaS product in a new customer vertical in <6 months, contributing $1M in net-new ARR.
    • Defined and tracked core growth metrics in product usage via live dashboards used in weekly executive growth reviews, increasing six-month retention by 12% over a twelve-month period.
    • Conducted unit‑economics analyses on LTV:CAC and payback period across acquisition channels to drive reallocation of 20% of marketing spend to highest‑yield customer segments.
    • Partnered with CEO to identify margin expansion opportunities on SaaS products, contributing to 8% margin uplift through pricing refinement.

  3. Senior Data Scientist

    J.P. Morgan, Machine Learning Center of Excellence
    • Led technical development of new churn-prediction ML models deployed across JPM’s $10B+ deposit base, contributing to an $80M reduction in customer outflows to competitors (Robinhood, ETrade) over twelve months.
    • Partnered with marketing team to design Tableau dashboards tracking retention campaign ROI across high-churn cohorts, enabling data-driven marketing optimizations improving intervention ROI by 12%.
    • Performed customer segmentation research to identify high-LTV cohorts and drive targeted cross-sell strategies for JPM’s other loan products.
    • Implemented A/B testing frameworks to measure impact of product interventions, guiding investments in optimized retention strategies.

  4. Credit Trading Analyst

    J.P. Morgan
    • Created Python and Excel analytical models to evaluate credit investment opportunities in the retail and energy sectors, leading to three realized investments generating $XM in profit to the desk.
    • Developed automated Python‑powered dashboards tracking real‑time credit‑spread movements to surface bond trade opportunities, highlighting spread dislocations directly informing $50M+ in bond trades over an 18-month period.
    • Conducted market-sizing TAM/SAM analyses across retail, industrials, and energy sectors to underwrite turnaround potentials of companies.

  5. Private Equity Analyst, Lower Middle Market Investments

    Pine Ridge Holdings
    • Supported partners with due diligence and LBO valuations in the ABA healthcare sector ($1–$5M EBITDA), leading to two closed acquisitions.
    • Built an ABA market map across CA, AZ, and WA identifying 500+ targets segmented by payer mix and care setting (clinic, home, school).
    • Cold-outreached to ~50 business owners weekly, producing 15% response rate and 1–2 qualified targets per week.

Education

  1. Master of Business Administration (MBA), Class of 2025

    Harvard Business School
    • Coursework: Tech Ops Management, Pricing Strategy, Growth Strategy & Go‑to‑Market, B2B Sales, Digital Marketing, Product Management.
    • Clubs: Entrepreneurship Club, AI Club, Tech Club, Finance Club, Squash Club, French-Speaking Club (President).

  2. B.S. in Economics, B.A. in International Relations, Certificate in Data Science

    Duke University
    • GPA: 3.71/4.00, Dean’s List 3x, 2350/2400 SAT (99th percentile), 95th and 94th percentile GRE Quant and Verbal (168 and 164/170).
    • Clubs: Squash Team (Captain & President), Tech Club, AI Club, Marketing Club, Investment Club, Finance Club.
Skills
Product Management & Growth
Customer Research & User Interviews
MVP Scoping & Go-to-Market
Roadmapping & Delivery
Metrics, KPI Design & Experimentation
Stakeholder Management & Leadership
Software Engineering
Python (pandas, numpy, asyncio)
APIs & Backend (FastAPI/Flask, REST/GraphQL)
Databases & SQL (Postgres, MySQL)
Version Control & CI/CD (Git, GitHub Actions)
Cloud & Containers (AWS/GCP, Docker)
Data Science & Machine Learning
Machine Learning (scikit-learn, XGBoost; model eval)
Large Language Models & Prompt Engineering
Generative AI & NLP
Tableau, Power BI
Data Engineering (ETL, Airflow)
A/B Testing
Awards
HBS Rock Fellowship — $10,000 Summer Grant
Harvard Business School Rock Center for Entrepreneurship ∙ June 2024

Selected for HBS’s Rock Fellowship (≈40% acceptance) to pursue summer entrepreneurial projects. Used the grant to launch and bootstrap two software products:

  • BoostMyRank — 5K users; $2K/mo revenue with ~85% margins. B2B SaaS that automates high-quality backlinks to improve SEO via placements in top publications (e.g., Forbes, Newsweek, CNN). Go-to-market via cold email, TikTok, and word of mouth.
  • StartupLeads — 500 users; $1K/mo revenue with ~95% margins. B2B SaaS providing email leads for founders who’ve just raised capital. Go-to-market via cold email, Reddit, and TikTok.
Harvard Annual Hackathon — 2nd Place
Harvard Business School ∙ March 2024
Won second place and a $3,000 prize at Harvard’s AI-focused annual hackathon, judged by a panel of Techstars leaders and former Harvard and MIT founders. With a team of four, we built a full-fledged marketing site in Framer and a working prototype that used a RAG database trained on the American Medical Association’s corpus of medical codes to predict medical billing codes with generative AI.
Languages
100%
English
100%
French
100%
Spanish
50%
Italian
50%
German