- Own the main app's trading surface and the infrastructure beneath it, with a focus on derivatives — options, futures and prediction markets.
- Designed and automated the team's internal AI workflows — RAG retrieval, multi-agent orchestration, PRD drafting and working prototypes hosted on the company domain — cutting turnaround on that work by 90%. Built on Claude Code, MCP and the Google Workspace CLI.
- Spearheaded the main referral programme and the welcome bonus, lifting new-user trading volume by 90% and 15% respectively.
- Own compliance for trading onboarding — KYC, AML and anti-fraud — alongside the geographic expansion of trading products into the EEA and additional US states.
James Liu — product manager shipping AI products that compound.
I'm James — a product manager at Crypto.com, building derivatives and trading products. I work where markets, growth and applied AI overlap, turning research-grade models into things people actually keep using.
Experience with
- Based in
- Singapore
- Focus
- Trading & applied AI
- Now
- PM, Crypto.com
- Studied
- Computer Science, NUS
Experience across growth, AI and platform product.
Six years of building — from serverless backends to multi-modal AI platforms, derivatives trading products and a company of my own. The through-line is shipping things that move a number.
- Received full-time conversion in 2024 and a Spot Bonus award in Q2 2025, given to the top 10% of performers.
- Co-led development of a multi-modal AI content generation platform for SEO using LLMs and RAG — wrote the technical specs and worked with a team of 7, increasing unique monthly visitors by 20% over 3 months.
- Co-led Lark's partnership with Perplexity AI, bringing over $20 million USD in value.
- Initiated revamps of over 20 key pages, resulting in a 40%+ increase in conversion rate on average.
- Owned onboarding flow optimisation, user acquisition and first-transaction incentives.
- Directed development of four frontend products, achieving a 35% increase in cart conversion and a 100% improvement in site retention length.
- Spearheaded Stripe 3D Secure and advanced Radar rules, cutting fraudulent transactions by 90% — roughly $20,000 USD saved each month.
- Boosted SEO rankings by 26% and accelerated page load speeds by 20%.
- Led development of a B2B e-commerce SaaS for product discovery and recommendation, distributable across every Shopify store — built in 5 weeks.
- Secured funding from Stanford Startup Society and placed 2nd in the Stanford internal hackathon.
- Grew to 100+ business users with a 5.0/5.0 rating on the Shopify app store.
- Spearheaded frontend development of an internal real-time dashboard for an international client, projected to impact over a million users per year, working directly with clients on evolving software needs.
- Led front-end development for a real-time research data platform at the NUS Tropical Marine Science Institute.
- Contributed to an operational research data platform with multi-layered access and analytics, built for incorporation into national networks.
- Improved application performance using AWS Lambda, S3 and API Gateway for serverless computing.
- Improved security and reduced inbox spam by over 90% by implementing 4 backend features including reCAPTCHA and stricter input validation.
Select a role to read the detail
Things I've built and taken to market.
A founder-led SaaS, an AI scheduling app, a profitable D2C brand and a Web3 analytics tool — each one shipped to real users.
AI · E-Commerce01AskShop.ai
A B2B e-commerce SaaS for product discovery and recommendation, distributable across every Shopify store. Built and shipped in five weeks.
100+ business users · 5.0 rating
Productivity · AI02Calendare
An AI-powered productivity app that automatically schedules events and tasks around your goals, calendar and preferences.
$10K NUS VIP grant
E-Commerce · Health03HerbalBath Singapore
Founded and grew a healthcare product company, leading social media marketing, logistics and sales end to end.
$100K+ yearly revenue · 40% margin
Web3 · Data04NFT Sentiment Predictor
NFT price charts overlaid with predicted prices and market sentiment across customisable time-series parameters.
20+ functional components
What I know, from markets to the stack underneath.
Three domains I've shipped in and three I build with. I started as an engineer and moved into product, so I work across the whole path — discovery, design, implementation and the analytics that tell you whether it worked.
Trading & Markets
- Options
- Futures
- Prediction markets
- Trading infrastructure
- Spot & derivatives
The main app's trading surface and the plumbing underneath it.
Growth & Rewards
- Referral programmes
- Welcome bonuses
- Incentive design
- Onboarding funnels
- Product-led growth
Getting the first trade to happen, then the second.
Risk & Compliance
- KYC & AML
- Anti-fraud
- Geo expansion (EEA, US)
- Stripe 3DS & Radar
- Market onboarding
The unglamorous work that decides which markets you can launch in.
Product & Design
- Jira & Confluence
- Notion
- Figma
- Framer
- Linear
Specs, roadmaps and the boring rigour that makes launches land.
Engineering
- TypeScript
- React & Next.js
- Python
- Node.js
- AWS
Enough depth to write the spec, read the PR and unblock the team.
Data & AI
- SQL
- LLMs & RAG
- Claude Code & MCP
- Multi-agent workflows
- A/B testing
Instrumenting the funnel, then arguing with the numbers.
Four years of computer science, and the detours that mattered most.
Honours in Computer Science at NUS, a year in Silicon Valley with NUS Overseas Colleges, and a habit of entering things I wasn't sure I could win.

National University of Singapore
Bachelor of Computing, Computer Science
Honours (Distinction)
NUS Venture Initiation Programme
Won a $10,000 grant for a technical startup from NUS Enterprise.
National University of Singapore
NUS Overseas Colleges, Silicon Valley
A year-long tech internship programme in San Francisco while studying at Stanford University.
National University of Singapore
2nd Place, Stanford Hackathon
Placed 2nd among 100+ participants at the Stanford Startup Society hackathon.
Stanford Startup Society
Student Mentor, Software Engineering
Top student for CS2103T Software Engineering in Java, then taught the following cohort.
NUS School of Computing
Also
- School of Computing Ambassador2022 — 2025
- School of Computing Leadership Programme2022 — 2024
- Orbital (Independent Software Development)2022
- Citadel Datathon2023
Activities
Building something interesting? Let's talk.
I'm always up for a conversation about product, applied AI, or an idea you can't stop thinking about. I reply to everything.