Pl. II Orangutan. Arms longer than its legs; reaches for everything.
Pl. VIII Macacus libidinosus. The plate’s own name for it; mid-stride.
Pl. V Red-tailed monkey. The tail does half the talking.
Pl. XII Silvery marmoset. Pale as paper, with a black tail.
Pl. X L’Hoest’s monkey. A white beard and a chestnut back.
Pl. XVI Hamadryas baboon. A grey mantle like a judge’s wig.
Pl. XIII Andaman macaque. A mother, with her baby at her shoulder.
Pl. XXI Tufted capuchin. A dark cap and a ringed tail.
Pl. XXIV Grey woolly monkey. Holds on with its tail.
Pl. XIX Red-shanked douc. Maroon stockings and white gloves.

Work

Work

What I’ve worked on, and what I’m currently working on.

I graduate in May 2027, and I’m looking for full-time roles where I can keep building. That means product and strategy roles at startups, especially in payments, fintech and AI; founder’s associate and business operations roles, close to the people running the company; and investing roles at venture or growth funds that back those kinds of companies.

  1. Smooth Closing · Austin, TX · September 2026 – presentLead engine and underwriting toolsA cash home-buying company in Austin.
    • Building tools that find properties and underwrite them, so the team can make offers faster
  2. TrustPixel · San Francisco, CA · June – August 2026Product Management Intern, Agent PaymentsAn agentic commerce exchange that turns an authorized agent request into a completed purchase under buyer rules and supplier terms.
    • Defined the 4-layer agentic commerce stack (identity, mandate, policy, receipts) after a build-vs-buy review of 3 vendors
    • Shipped a non-custodial agent wallet on Coinbase CDP, replacing one integration per supplier with a single payment API
    • Built mandate and spend-limit controls into a 7-step payment flow, enforcing signed limits with revocation in under 1 second
  3. HeyTripp · June – August 2026Two-leg payment architectureA startup where an AI agent books your trip.
    • Designed how money moves when the AI books: traveller to platform, then platform to supplier, as two separate legs
  4. Sunny Day Fund · Falls Church, VA · June – August 2025Sales and Product AnalystA fintech offering automated workplace emergency savings to companies like Amazon, Disney and DoorDash.
    • Executed investor due diligence across 40+ fintech VCs using PitchBook, securing 10+ investor meetings
    • Developed credit risk models in Python, using Sunny Day Fund’s financial health metrics to price insurance premiums
    • Analyzed regulation and compliance across 21 state first-time homebuyer savings account (FHSA) programs, mapping tax frameworks for expansion into 8 target states
  5. InkLink · San Francisco, CA · December 2024 – January 2025Growth and Research InternAn early-stage startup building ML-powered onboarding and KYC tools for secure, scalable verification.
    • Ran prototype-led customer acquisition across 5 universities, growing the student user base by 150%
    • Built unit economics models for SaaS pricing, finding room to improve LTV/CAC from 2.8x to 4.1x
    • Created customer lifetime value models in pandas across 4 features, identifying a 12% retention boost worth $150K a year
  6. ITC Limited · Bangalore · May – August 2024Food and Beverage Finance InternA multi-billion-dollar Indian conglomerate working across FMCG, agribusiness and sustainability-focused products.
    • Analyzed the Chinese quick-service restaurant market and 50+ competitors in pandas, finding ways to grow revenue
    • Built a delivery fleet financial model using Excel comps, identifying an 8% efficiency gap against benchmarks
    • Ran operational due diligence on delivery metrics with SQL, proposing a 15% cost cut across 100+ routes
  7. McCombs Department of Finance · Austin, TX · December 2023 – June 2024Research Assistant to Professor John GriffinResearch into financial fraud across healthcare (skilled nursing facilities), pig-butchering scams and cryptocurrency.
    • Analyzed 500+ reports on pig-butchering and crypto fraud, identifying patterns across international schemes
    • Ran regression analysis to test hypotheses for faculty research on financial fraud
    • Synthesized a literature review across 200+ academic sources to sharpen the fraud-detection methodology