Engineered on Zapier Canvas, participated in full-stack development from React/TypeScript UI to Python/Node.js back end. Helped evolve the product into an AI-powered workflow tool by integrating LLM orchestration, while driving performance gains and robust testing.

· Led React/TypeScript development for Zapier Canvas with real‑time collaboration; integrated Liveblocks to enable multi‑user editing.

· Built Python services for Canvas artifacts; integrated LangChain to translate natural‑language descriptions to automations; introduced safe retries and hand‑offs, cutting setup time ~50%.

· Scaled orchestration with LangGraph (2024) and surfaced agent progress/hand‑offs in UI; reduced automation errors ~30%.

· Improved core UI responsiveness by ~20% via component refactors and data‑fetch optimizations.

· Delivered Node.js webhooks and internal tools to streamline Canvas import/export flows and app integrations, improving developer feedback loops.

Helped build and improve the all-in-one note and planning app during its big growth spurt, focusing on smooth screens and quick syncing for remote teams. Used React for interactive pages, Node for real-time updates, and Python for data sorting.

· Tweaked React for faster page loads and edits in early 2020, cutting delays by 15% as daily users surged amid remote work shift.

· Built Node handlers for live shared doc updates, keeping changes reliable without overwrites during peak growth.

· Added Python analyzers to suggest templates from user trends, helping new sign-ups set up quicker.

· Led React updates to sharing features, launching beta in summer 2021 that sped invites by 20% as users hit 20 million.

· Polished mobile web views with React and Node, scaling for bigger loads without slowdowns.

· Created Python reports to track feature use, guiding updates after $275M raise in Oct 2021.

Worked on software for connected car features and the mobile app, blending user screens with back-end systems to make driving safer and easier. Used React and React Native for interactive displays and app interfaces, Node.js for quick data handling, and Python for checks and reports.

· Led React updates to in-car screens for navigation and media, cutting load times by 10% in 2018 to help drivers stay focused.

· Modernized dealer login and session flows; resolved sync issues and unblocked a deadline‑driven launch.

· Built React Native features for the mobile app, like status checks and remote controls, working on both iPhone and Android from one code base.

· Used Node.js connections for real-time features like remote start via the app, ensuring safe links between cars and servers.

· Analyzed test data with Python from car simulations, spotting issues early during new model rollouts.

· Improved mobile app integrations with React Native for the Lexus Enform App Suite, making phone-to-car setup simpler and rolling out updates for 2019 models.

· Scaled back-end systems with Node.js for more users, supporting growth in electric and hybrid vehicles.

· Worked on security checks with Python to keep data safe in the app, tying into company goals for reliable tech in luxury cars.