# Joshua Strickland

> Senior Full‑Stack Engineer | React/TypeScript & React Native | Node.js · Python · Rust | LLM Orchestration & Evaluation (LangChain/LangGraph)

Location: United States, United States
Profile: https://flows.cv/joshuastrickland

I’m a senior full-stack engineer and junior vibe coder who enjoys building systems that feel fast, reliable, and intentional. To me, great software isn’t only about clean architecture or low latency, it’s about the overall flow: the small details that make a product responsive, trustworthy, and enjoyable to use. My work spans web, mobile, and AI-driven systems, with a focus on measurable reliability (latency, error rates) and developer workflows that keep teams shipping quickly without compromising experience.

## Work Experience
### Senior Software Engineer @ xAI
Jan 2024 – Present | United States

### Full Stack Engineer @ Zapier
Jan 2022 – Jan 2024
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.

### Software Engineer @ Notion
Jan 2020 – Jan 2022
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.

### Full Stack Engineer @ Lexus
Jan 2016 – Jan 2019
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.


## Education
### Bachelor of Science in Computational Science
ITT Technical Institute
Jan 2013 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/joshua-strickland-2b3483292

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Source: https://flows.cv/joshuastrickland
JSON Resume: https://flows.cv/joshuastrickland/resume.json
Last updated: 2026-03-22