# Steven DeMartini

> Software Engineer at Linear

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/stevendemartini

Software engineer passionate about tackling complex challenges that drive real-world impact and improve lives.

Extensive full-stack, product-focused expertise—from backend architecture and scientific instrument automation to devops and frontend user experience. Eager to learn rapidly and craft solutions to yet-unsolved problems.

## Work Experience
### Software Engineer @ Linear
Jan 2025 – Present | San Francisco Bay Area
Building Linear's agent platform

### Lead Software Engineer @ Stealth moonshot, nuclear fusion
Jan 2020 – Jan 2025 | San Francisco Bay Area
• Boosted R&D efficiency by >10x for a 40+ person science and eng team, with tools conceived and built 0-to-1
• Created a web app that dramatically improved collaboration and traceability, featuring real-time collaborative docs and slides, interactive high-performance charting, LLM/RAG-based assistance, Jupyter server management, inventory tracking, search, and more  (Python, Django, PostgreSQL, GraphQL, TypeScript, React, Yjs CRDTs, JupyterHub)
• Developed a scientific automation platform with real-time GUI applications, modular low-code components, and extensive hardware integrations, shortening research iteration cycles from months to days while enabling otherwise intractable experiments  (FastAPI, Pandas, asyncio, React, WebSockets, VISA, gRPC)
• Overhauled measurement data collection and analysis, co-designing a high-performance partitioned database schema to handle heterogeneous time series data with live monitoring  (PostgreSQL, SQLAlchemy, Grafana)
• Open-sourced and maintain a rich text editor library, github.com/sjdemartini/mui-tiptap, used in production  (TypeScript, React, Tiptap/Prosemirror, CSS)
• Founded and managed the software team, defining strategy and providing mentorship

### Staff Software Engineer @ Airbnb
Jan 2019 – Jan 2020 | San Francisco Bay Area
• Architected geospatial systems and a web application to monitor large-scale disasters and power Airbnb’s Disaster Response & Relief program, increasing operational efficiency 10x and enabling 3x more activations than the prior five years combined
• Developed scalable Java services to expand and improve Airbnb’s Open Homes humanitarian efforts
• Launched home booking flows for disaster evacuees on iOS and Android, self-learning both platforms in my personal time to maximize our impact, ultimately driving >50% of future bookings

### Senior Software Engineer @ Airbnb
Jan 2016 – Jan 2019
• Became a founding member and Security Lead of the Anti-discrimination Product Team, driving engineering and shaping user-facing features
• Created new backend infrastructure to support data scientists’ experiment analysis in an environment with restricted access control

### Software Engineer @ Airbnb
Jan 2015 – Jan 2016
• Led multi-team engineering efforts to revamp Airbnb’s identity verification, introducing new guest onboarding and reservation flows to improve trust and safety

### Software Engineer @ Yelp
Jan 2014 – Jan 2015 | San Francisco Bay Area
• Expanded and improved the Yelp Reservations (SeatMe) restaurant reservation management system
• Developed interactive real-time SPAs for the restaurant floor, daily reservation lists, and calendar, using custom sync code with a Python/Django/PostgreSQL backend and Backbone.js frontend
• Overhauled JavaScript infrastructure to use JS modules with dependency management
• Created a client-side local storage sync queue to prevent data-loss during internet connectivity problems
• Built new responsive public-facing pages: the SeatMe home-page and consumer reservation-booking flow

### Software Engineering Intern @ Redfin
Jan 2013 – Jan 2013
• Built Redfin’s first mobile-web search page, expanding access to its second-most visited page

### Student Researcher, Software Engineer @ UC Berkeley Air Quality Engineering Research Group
Jan 2010 – Jan 2012
• Designed and created a MATLAB-based graphical, interactive computer application for extensively analyzing vehicle emissions data
• Improved data analysis precision, while cutting time required for analysis by a factor of five or more
• My software was used for data analysis for multiple publications, including my two publications listed below

### Research Assistant @ Lawrence Berkeley National Laboratory
Jan 2011 – Jan 2012
• Research assistant to Margaret Torn and Sebastien Biraud on Carbon Cycle Analysis
• Evaluated aircraft-based measurements of carbon dioxide for determining carbon fluxes
• Ensured error-free data collection and processing of continuous flux measurements

### United Nations Foundation Liaison @ The World Bank
Jan 2011 – Jan 2011 | Washington, D.C.
• Research assistant to Dan Kammen on Clean Cookstove Deployment in Developing Countries
• Researched financing, design, health effects, and carbon impacts of advanced cookstoves projects
• Coordinated interaction with the UN Foundation's Global Alliance for Clean Cookstoves


## Education
### BS in Electrical Engineering and Computer Science
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/sjdemartini
- GitHub: https://github.com/sjdemartini/
- Portfolio: https://stevendemartini.bandcamp.com
- Portfolio: https://youtube.com/user/sjdemartini/

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Source: https://flows.cv/stevendemartini
JSON Resume: https://flows.cv/stevendemartini/resume.json
Last updated: 2026-04-11