Product portfolio NYU, Washington Square · 40.7295° N, 73.9965° W
Michael Wang smiling on the summit of Haleakalā above the clouds
Fig. 01 / Haleakalā, Maui20.71° N

Michael Wang

Michael Wang. Product management, product strategy, user research, growth, go-to-market, data analytics, AI products and fintech.

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(00) About

I’m Michael Wang, an economics student at NYU with a minor in data science.

Studying
B.A. Economics, minor in Data Science, NYU · Expected 2028
Interested in
Product management and strategy
Toolkit
Claude Code, Codex, Grok, Figma, Excel, Power BI, Jira, SQL, Python
Languages
English, Mandarin
Interests
Weightlifting, basketball, golf, cold brews, anime
(01) Projects

Selected projects

Click a project to scroll through it.

010→1 feature · NYU PM Club

WHOOP Calendar Sync

Coaching that fits your real schedule.

14 screens 7 pain points 3 KPIs Open project
02Fintech · Tech@NYU Buildathon

Veraitas

Crypto trading, explained for beginners.

Claude agent Live order book True Markets API Watch the demo
03Machine learning · IBM Z Datathon

CS2 Integrity Watch

Flags possible match-fixing, round by round.

42,009 rounds Brier 0.178 XGBoost benchmark Open project

WHOOP Calendar Sync

Problem
WHOOP’s sleep and recovery advice ignores members’ real schedules.
Proposed solution
Connect a calendar so each check-in fits the member’s schedule.
  1. Research
    Interviewed 10 membersPlus r/whoop, App Store and Google Play reviews.
  2. Synthesize
    7 pain pointsScored on frequency, severity and business impact.
  3. Test
    3 concept interviewsMembers rated week-one connect 7, 10 and 8–9 out of 10.
  4. Scope
    Value vs. effortThree MVP features. Travel mode and the bedtime block wait.
  5. Prototype
    14-screen coded prototypeHTML, CSS and JavaScript, measured from WHOOP’s real UI. Also in Figma.
  6. Privacy
    Busy/free only by defaultOne read-only Google scope, calendar.freebusy. Event names ask for a second consent.
  7. Measure
    3 KPIsConnect rate, check-in action rate, 12-month renewal.
Built withFigmaHTML/CSSJavaScriptGoogle Calendar APIOAuth scopes
Try the prototype Pain points deck
The 7 pain points
  1. Paying for data, not results
  2. Hard to leave, hard to reach a human
  3. Scores I can’t trust or explain
  4. Data without direction
  5. Coach and Journal feel like chores
  6. Auto-tracking misreads real life
  7. Sync and integrations break
What members see
WHOOP AI · 7:02 AM

Busy 8 AM–3 PM and recovery is 64%. 45 minutes of training after 3 PM fits your week.

Told to sleep at 7 PM on a Friday he had plans. He called it “useless.”Nick, WHOOP member
MVP
  • Calendar connection. Read-only, busy or free by default.
  • Schedule-aware check-ins. One a day, tied to a real slot.
  • Busy-week mode. Sleep targets you can hit.
Later
  • Travel mode. Low value for the effort.
  • Bedtime block. Needs write access to the calendar.
Portfolio with live profit and loss Trade page with the live chart and order book Beginner Mode turned on Tap to explain: market cap in plain English The agent explaining one point on the chart Before you buy: every cost from a live quote The agent explaining the live order book The agent answering why SOL is moving, with sources Swing Check: a normal day in dollars
Tech@NYU Buildathon: Shipyard Veraitas GitHub repo
01Live portfolioProfit and loss from real trades.
0:00

Veraitas

Problem
Crypto has a high barrier to entry for people learning to trade.
Proposed solution
A Beginner Mode that explains every number and cost before you trade, and an AI agent that answers in plain English.
  1. Cost check
    Before you buyFee, hidden cost and sell-back value from a live quote.
  2. Market
    Live chart and order bookFrom the True Markets API. Click the chart and the agent explains that move.
  3. Agent
    Claude Haiku with 5 toolssearch_web, get_market, get_portfolio, estimate_buy, prepare_order. Independent calls run in parallel.
  4. Trades
    Real trades, press and hold to confirmSolana and Base, settled in USDC. The agent can prep an order but never place one.
  5. Auto-sell
    Take-profit or stop-lossSet on the buy ticket.
  6. Beginner
    Swing Check and trade receiptsA normal day’s risk in dollars, and a receipt after every fill.
Built withTypeScriptReactNode.jsClaude HaikuTrue Markets APISolanaBase
GitHub repo

CS2 Integrity Watch

Problem
Match-fixing gets caught late, by someone rewatching hours of video.
Proposed solution
Compare a win-probability model with live betting odds every round, and flag maps where the market moves first.
  1. Data
    1,988 pro maps, 42,009 roundsParsed from demos with demoparser2: money, equipment, armor, buy type, side, score.
  2. Market
    12,489 Polymarket events1-minute prices and every fill.
  3. Align
    One clock for both feedsInferred the 64-tick rate and anchored each map on its market’s settlement.
  4. Model
    Logistic regression, isotonic calibrationMatch-level holdout. Brier 0.178 on 9,163 rounds vs. 0.25 for a coin flip.
  5. Benchmark
    XGBoostWe kept logistic regression: its coefficients explain each alert exactly, and SHAP has no s390x build.
  6. Deploy
    IBM LinuxONE (s390x)Ingest, training, scoring and dashboard on one machine. About 9 ms per score, 33 tests.
  7. Alert
    15+ point gap for 2+ roundsOnly when the market moved first. 474 of 1,014 market-matched maps raise nothing.
Built withPythonpandasscikit-learnXGBoostIBM LinuxONEPolymarket API
Watch the video Live dashboard Pitch deck GitHub repo
Win probability by round for Wildcard vs NOMERCY: the market sat near 97% while the model started at 50%, a 47.2-point gap held for 12 rounds, graded high severity
NOMERCY: a 47.2-point gap held 12 rounds, graded high.
Win probability by round for ex-Zero Tenacity vs RUSTEC: a two-round market spike to 45% with nothing to back it up, graded low severity
A two-round spike with nothing behind it, graded low.
(02) Experience

Where I’ve worked

4internships
Rockbridge Growth Equity
Yanfeng
Moonshot (YC S26)
Patlytics
May ’25AugNovFeb ’26MayAugNov ’26
InternshipCurrent
01Aug 2026–PresentPatlyticsProduct & Go-to-Market Strategy InternNew York, NY

Tested the AI agent before launch and built the tools that find new government patent-office contracts.

Patlytics Agent ↗patlytics.ai ↗
02Aug–Oct 2026Moonshot (YC S26)Product & Growth InternRemote, part-time

Turned 20+ user interviews into a shipped AI memory feature, then ran the launch ad tests and creator program.

moonshot.computer ↗Moonshot on LinkedIn ↗
03Jun–Aug 2026Yanfeng Automotive InteriorsCommercial Strategy & Operations InternNovi, MI

Found $1.4M in GM pricing discrepancies and turned a 2–3 day document check into an hour with an AI workflow.

04May–Jun 2025Rockbridge Growth EquityPrivate Equity InternDetroit, MI

Screened deals across 6 subsectors and helped move 2 into partner-reviewed memos.

(03) Resume

Resume

Michael Wang's one-page resume
(04) Reach out

Feel free to reach out!

Emailmichaelwang@nyu.edu
Phone(248) 949-0121
GitHubgithub.com/jialewang0528-gifOpen
LinkedInlinkedin.com/in/michael-wang28Open
Latest project / Veraitas