Jayden SzetoPersonal Index

Software Engineer

JaydenSzeto.

Computer science & data science at UC Berkeley, class of 2028.

I like making software fast — financial platforms, market-data engines, ML pipelines.

Most days that means Zaimo AI. The rest of the record is below.

01

Experience

20222023202420252026NOW
  1. Dec 2025 —
    Remote

    Zaimo AI — AI Development Intern

    • Made tab loads 35× faster in a financial-planning application through GraphQL caching, parallel data fetching, and leaner state management with Recoil.
    • Built internationalization with dynamic currency conversion, locale-aware formatting, and real-time exchange rates across financial models.
    • Work spans a microservices FP&A platform: Next.js, NestJS, Prisma over MySQL, AWS S3, Docker.
  2. Jun – Nov 2024
    Remote

    QA Wolf — Software & QA Engineering Intern

    • Reviewed 100+ Playwright end-to-end suites for modularity, reuse, and scale.
    • Hunted flaky tests through Chrome DevTools and failure reports; tightened CI/CD runtimes.
  3. Jul – Sep 2024
    San Jose, California

    Foxconn — Automation Support Intern

    • Automated the manufacturing team’s daily reporting with Python, Selenium, and Excel COM, eliminating manual generation.
    • Built a four-worker pipeline that extracts production schedules from internal systems and carries them end-to-end — scraping, formatting, screenshots, automated Outlook distribution.
  4. May 2023 – May 2025
    Pomona, California

    Cal Poly Softcom Lab — Research Intern — Software, Cloud & Mobile Computing

    • Built CareerCompass, an AI job-search application combining geospatial algorithms, NLP, and automated data extraction with real-time job visualization.
    • First-authored a conference paper and earned a provisional patent for the AI job-matching techniques.
  5. Jun – Sep 2022
    Remote

    Carnegie Mellon University — ML Research, Ravikumar Lab

    • Built a causal-inference pipeline over 5,100+ stroke-patient records: propensity-score matching, inverse probability weighting, doubly robust estimation.
    • Validated 200+ random-forest classifiers to 88% cross-validation accuracy; co-authored a paper on treatment-effect estimation.
02

Selected Work

MARKET FEEDSCANNERDASHBOARD12310,000,000 EVENTS / DAY< 100 MS
Plate I — Real-Time Options Flow Scanner, 2024

Real-Time Options Flow Scanner.

Python · Flask · Socket.IO · Multi-threading

A low-latency engine that ingests ten million market events a day, scores every trade against the bid–ask spread, and flags unusual institutional flow — aggregating multi-leg trades into spreads and collars and tracking shifts in Greek exposure, all in under a hundred milliseconds.

  • 10M events / day
  • < 100 ms latency
  • multi-leg aggregation
1 × 1 PXGET /open.gifFLASKOPENS — LIVE
Plate II — Email Tracker, 2023

Email Tracker.

Python · Flask · JavaScript · Chrome Extension API

An end-to-end read-receipt system: a Flask backend serving single-pixel beacons, a Chrome extension threaded into Gmail’s compose flow, and a live dashboard reporting delivery and opens as they happen.

  • 1 × 1 px beacon
  • Gmail extension
  • live dashboard
03

Education

University of California, Berkeley

B.A. in Computer Science & Data Science — expected May 2028

CourseworkStructure & Interpretation of Computer Programs, Data Structures & Algorithms, Foundations of Data Science, Discrete Mathematics & Probability Theory, Linear Algebra & Differential Equations, Multivariable Calculus, Introduction to Quantitative Finance.

THE CAMPANILE
04

Honors

  1. i.

    Kaggle Gold Medal

    7th of 1,849 teams in a research code competition — predicting human preference between LLM chatbots.

  2. ii.

    Published & Patented

    First-authored conference paper and provisional patent for AI job-matching; co-authored paper on treatment-effect estimation.

  3. iii.

    President’s Volunteer Service Award, 3× Gold

    700+ hours teaching tennis, golf, and code.

05

A Year in Commits

Setting a year of commits…
06

Correspondence

For internships, research, or a good problem —

jayden2007@berkeley.edu
GitHub ↗LinkedIn ↗Berkeley, California