climate tech startup backed by Sequoia and Kleiner Perkins. I build end-to-end product features to help companies decarbonize, including the footprint creation flow, large-scale data analysis tools, virtualized tables, and data lineage node graph visualizations over very large datasets.
I helped start "Watershed Labs", the company’s experimental product group, where I prototype AI-first copilot products, including AI-native dashboard and report builders, spreadsheet-like data exploration, and AI-powered data lineage analyst workflows.
– I champion design system and frontend infrastructure/testing improvements, and mentor teammates on frontend engineering best practices.
– Top Cursor user at the company, ranked as a top 0.01 percent Cursor user in San Francisco, and voted “most AI-pilled” person at the company.
Stack: TypeScript, React, Node.js, Temporal, PostgreSQL, DuckDB.
yc-backed (5.5M seed) multiplayer web browser for teams based on chromium. prototyping and building novel browser UIs on top of chromium. Collaboration features included, messaging/chat, multiplayer infinite canvas, notifications, audio calls, collaborative text editor (tiptap/prosemirror), and more.
Technologies: chromium fork with JS/C++ bridge exposing browser functionality (blink rendering, tabs, history, extensions etc.), React, Node.js, Redis Pub/Sub, GraphQL Subscriptions, MongoDB.
Company set out to change how we use computers with each together and mark a dent in productivity software. Although Muddy got some early traction, the company eventually winded down after struggling to find product-market fit, I learned a ton along the way—about building products 0 to 1, pushing browser technology, crafting complex frontends, prototyping and talking to users, dealing with pivots, and where software might go :)
more about what was built here:
https://portfolio.alejandro.pe/muddy
https://portfolio.alejandro.pe/sail
https://feelmuddy.com/ previously https://sail.online/
2019 — 2022
San Francisco Bay Area
Search Team - Responsible for search input (autosuggest and autocomplete), filters (dates, guests, price, amenities etc.) and search API (Typescript, React, CSS-in-JS, Java Microservices). Part of on-call rotation for Airbnb's main web app (node.js, kubernetes etc.)
2022
built new search input experience for I'm flexible 2.0
press:
https://techcrunch.com/2022/05/11/airbnb-categories-split-stays-aircover/
https://www.theverge.com/2022/5/11/23066798/airbnb-lovefrom-jony-ive-redesign-categories-split-stays
2021
built new categories filters for "I'm flexible" and Tech Lead for flexible dates search feature
gave external talk on how Airbnb is building "flexibility into search" https://reengineeringtravel.splashthat.com/
press:
https://www.engadget.com/airbnb-flexible-search-140306311.html
https://www.entrepreneur.com/article/366013
https://techcrunch.com/2021/02/24/airbnb-plans-for-a-new-kind-of-travel-post-covid-with-flexible-search/
https://abcnews.go.com/GMA/Travel/airbnb-launches-flexible-search-feature-travelers-options/story?id=76205967
2019-2020
Built new search bar, multi-step mobile search input flow, and filters (guests, dates, price, amenities, property type etc.) as part of Airbnb's 2020 re-design. Multiple projects on filters architecture foundation, refactoring and rewrite on typescript. Help build new filters for online experiences and UI for nearby destination search as part of COVID-19 response. Prototyping on the future of Airbnb's search experience with a focus on flexibility.
2018 — 2018
San Francisco Bay Area
Design Language System (DLS) Team – Worked on React reusable UI components (design system) and tooling for faster/better UI and JavaScript development. Learned a lot about web infrastructure.
Technologies: JavaScript, React, Webpack, Babel (transpiling, codemods, AST parsing etc.), ESLint, Storybook, Happo (visual diffing).
2017 — 2018
San Francisco Bay Area
selected by venture capital firm Accel and UC Berkeley’s EECS department for personalized mentorship, networking, and industry-relevant curriculum. Accel investments include Facebook, Dropbox, Slack, Spotify etc.
https://techcrunch.com/2017/11/01/accel-launches-uc-berkeley-mentorship-program/
https://eecs.berkeley.edu/resources/undergrads/accel
Education
2015 — 2019
University of California, Berkeley
Computer Science
2015 — 2019