Experience

  1. Sr. Machine Learning Engineer

    Harvard Business School, Rock Center for Entrepreneurship
    • Designed and deployed LLM inference pipelines powering Harvard’s chatbot-led mentorship platform used by thousands of entrepreneurs across India and LATAM, integrating real-time feedback loops for continuous model improvement.
    • Built and productionized recommendation engine matching mentors to entrepreneurs, scaling from prototype to 1K+ alpha users.
    • Developed Spark data pipelines tracking user retention and feature adoption for continuous model evaluation and improvement.
    • Led experimentation with funnel and onboarding optimization, improving activation rates by 30% through data analysis of engagement triggers.

  2. Technical Product Manager

    Arcules Cloud
    • Led technical development and deployment of machine learning and computer vision algorithms using Pytorch and Tensorflow for a new SaaS product contributing $1M in net-new ARR in twelve months.
    • Designed ML systems architecture spanning ETL, feature engineering and inference micro-services serving computer vision algorithms.
    • Defined and tracked product usage growth metrics via live Tableau dashboards used in weekly executive growth reviews. Provided business recommendations to increase engagement and improved six-month retention by 12% over a twelve-month period.
    • Presented data science insights to senior stakeholders with Tableau and contributed to design of firmwide technical product roadmap.

  3. Senior Data Scientist

    J.P. Morgan, Machine Learning Center of Excellence
    • Led data science 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.
    • Performed customer segmentation analysis to identify high-LTV cohorts and drive targeted cross-sell strategies for JPM’s other loan products.
    • 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%.
    • Implemented A/B testing frameworks to measure impact of product interventions, guiding investments in optimized retention strategies.

  4. Credit Trading Analyst

    J.P. Morgan Investment Bank
    • Created Python and Excel analytical models to evaluate credit investment opportunities in the retail and energy sectors, leading to three realized investments generating $1.2M 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