Moshe Malka
Software engineer and engineering leader in New York City, writing software since 2008.
Today I’m on Goldman Sachs’ Private Wealth platform. Before that I led Peloton’s e‑commerce replatform, built institutional bond trading at ICE, and wrote high‑frequency arbitrage that filled in 26 milliseconds. I lead teams, mentor engineers, ship with AI, and run Quentin Software, a studio that builds software for early-stage teams.

Work
Frontend on the Private Wealth portfolio platform that brokers and high-net-worth clients rely on every day. I own core portfolio-management pages inside a large React, TypeScript and MobX application.
- Built the reusable Control Bar and Currency Picker, now used by 12 teams across the app
- Led the portfolio UX redesign and frontend refactor, aligned with the firm's design system
- Raised unit-test coverage past 80% with Jest, making releases more reliable
- Mentor and onboard analysts on architecture, testing and code quality
- TypeScript
- React
- MobX
- Jest
My solo studio: AI-first product development, prototypes that ship, and fractional CTO work for early-stage teams, covering planning, marketing strategy, integrations and the whole stack.
- Lavita Labs: a diamond-ring design wizard with GPT-4 and Stripe checkout
- Odeliya Probeauty: a full Shopify build, 16 pages with custom sign-in and subscriptions
- uwu Labs: a profile-picture image gallery on React and Firebase
- Cut CI time in half on partner codebases
- Next.js
- GPT-4
- Firebase
- Stripe
- Shopify
Owned large parts of the e-commerce web stack, moved it from React to Next.js and GraphQL, ran the Blockchain/Web3 working group, and drove cross-team launches.
- Moved the store from React to Next.js and GraphQL; Core Web Vitals improved across the funnel
- Guided the design-system team to ship a Storybook component library from scratch
- Led the Guide product launch across product, marketing, content, design, SRE and DevOps
- Rebuilt the home, Bike, Bike+ and Tread pages and cut checkout from 7 steps to 3
- React
- Next.js
- GraphQL
- Storybook
- TypeScript
Marketing and operations software for the coworking platform formerly known as CBRE Hana Workplaces.
- Built a shared component library for the marketing and operations sites
- Set up CI/CD pipelines for faster, safer deploys
- Migrated the sites from React to Gatsby and GraphQL
- Secured the sign-in pages and extended the coworking platform
- React
- Gatsby
- GraphQL
Lead frontend engineer on the Angular request-for-quote application institutions use to trade bonds.
- Built a CUSIP parser that reads bond IDs straight from the clipboard and fills the order form
- Simplified the quote-request workflow for traders
- Angular
- TypeScript
Tech lead on CYA, the customer-facing warranty and claims platform, built for a CPS Central subsidiary.
- Server-side rendering, lazy loading and code splitting brought page loads under 200ms
- Introduced weekly code discussions and an agile workflow to the team
- Built with TypeScript, Angular and Ionic on AWS
- TypeScript
- Angular
- Ionic
- AWS
Lead full-stack engineer on real-time, high-frequency trading and quantitative strategies, where 26 milliseconds mattered.
- Arbitrage trades executing in under 26 milliseconds
- Real-time data and BigQuery analysis of volatility across more than 40 exchanges
- Strategy work that made the trading measurably more profitable
- TypeScript
- Node
- GCP
- Kafka
- BigQuery
Lead full-stack engineer on a car configuration and leasing wizard.
- Built the full wizard on TypeScript, Angular, Node and AWS
- Turned the legacy C# leasing engine into a REST API
- TypeScript
- Angular
- Node
- AWS
- C#
Open source
Typed TypeScript libraries for rates and Treasury math, options, FX and volatility, market structure, startup equity, and a few things off the desk.
32nds
Treasuries don’t trade in decimals. A 10-year note is quoted like 105-16+, and npm had nothing that could read a price the way the market writes it. So I wrote it: exact, because Treasury fractions are powers of two.
import {
parsePrice, formatPrice, tickValue,
} from "32nds";
parsePrice("105-16+"); // 105.515625
formatPrice(99.109375); // "99-03+"
tickValue(1_000_000); // 312.50- us-equity-market-calendar
Market Structure
NYSE / NASDAQ trading calendar — holidays, early closes, sessions
- options-greeks
FX & Volatility
Black-Scholes & Black-76 prices, full greeks, implied-vol solver
- options-expiration
Market Structure
US listed options expiries — monthly, weekly, 0DTE, VIX, holiday-shifted
Shevirah
An interactive web series on Kabbalah, named for the breaking of the vessels. Two works, Klippot and the Tree of Life, and fourteen texts from Sefer Yetzirah to Baal HaSulam, read teaching by teaching.
How it’s built
- Next.js, exported staticServed from GitHub Pages. No CSS framework and no UI library: hand-written CSS and inline SVG.
- Hand-drawn, animated SVGEvery artwork has a second state you reach by looking closer: hover, focus or tap. Reduced motion gets a still frame that still reads.
- Paraphrased from SefariaEach text credits the edition and license it was read from. Every Hebrew term links to its page on Gamatria.
- The Ari’s treeThe Tree of Life places the letters on the Ari’s paths, with correspondences from the Gra’s Sefer Yetzirah, and holds to WCAG 2.2 AA contrast.

Quentin Software
My solo studio: AI-first product development, prototypes that ship, and fractional CTO work for early-stage teams.
Hire the studio- Lavita LabsA diamond-ring design wizard with GPT-4 and Stripe checkout
- Odeliya ProbeautyA full Shopify build, 16 pages with custom sign-in and subscriptions
- uwu LabsA profile-picture image gallery on React and Firebase
What I’m after
- Capital across exchanges
- Data through pipelines
- Interfaces moving portfolios
- People across cities
I’m interested in leverage: the kind you get from code that moves capital, systems that scale without drama, and teams that outlast their founders.
Eighteen years in, the pattern is consistent. I join where the stakes are measured in milliseconds or millions, build the thing, raise the people, and leave the platform stronger than the slide deck said it would be. Lately that means putting AI to work inside real products, not demos.
What I build with
- TypeScript
- React
- Next.js
- Node
- Python
- GraphQL
- Tailwind
- Bun
- WebSockets
- REST
- MongoDB
- Firebase
- AWS
- GCP
- LLMs
- Docker
- GitHub Actions




