Bloomberg L.P.

2x SWE intern (Summer 2023 and Summer 2024). Two different teams: a financial-instruments market feed (junior summer-2023) and a core-products ML classifier for corporate filings (summer-2024). Both worked from Princeton, NJ.

Engagement (compiled)

Summer 2024 - Core Products (DT-CADEA)

Dimension Detail
Role SWE Intern, Core Products
Team DT-CADEA (Data Tech)
Location Princeton, NJ
Outcomes Random Forest ML model for 6K/8K corporate filings - 55% faster classification, 86% accuracy; JIRA workflow tools with 99.9% uptime for 7 teams / 5k+ internal users; led technical design reviews

Summer 2023 - Financial Instruments (DT-FI)

Dimension Detail
Role SWE Intern, Financial Instruments
Team DT-FI (Data Tech)
Location Princeton, NJ
Outcomes Real-time market feed platform (Next.js + React) for treasury bonds - 4x remediation speed; eliminated all user-input crashes; reduced latency and memory; coordinated Linux infrastructure migration; led Agile sprints

Source: Resume, Kevin B. Liu §Experience > Bloomberg

Why Bloomberg Matters in the Arc

  • First serious enterprise SWE exposure (sophomore + junior summers)
  • Two distinct stacks (Next.js market feed + Python/ML classifier) - broad surface area
  • Established the leadership thread on the resume: "Led Agile sprints", "led technical design reviews"
  • Princeton, NJ location meant Kevin didn't relocate - Bloomberg integrated with the Princeton academic life

Open Questions for Kevin

  • Two summers at Bloomberg - was the second a deliberate return, or what other options were on the table?
  • What did you take from Bloomberg that still shows up in how you build?
  • Bloomberg vs. Amazon - culture, work style, ambition density. Honest take?
  • Anyone from Bloomberg who became a lasting connection?
  • The thing about Bloomberg you'd want a younger Princeton CS person to know?

Timeline