# Austin Ray > AI DevX @ Ramp Location: New York, New York, United States Profile: https://flows.cv/austinray ## Work Experience ### Staff Software Engineer @ Ramp Jan 2025 – Present | New York City Metropolitan Area AI DevX team lead ### Senior Software Engineer @ Ramp Jan 2024 – Jan 2025 | New York City Metropolitan Area Employee Experience; AI DevX (starting Apr 2024) ### Technical Lead @ SaxeCap Jan 2019 – Present | San Francisco Bay Area • Spearhead end-to-end technical development for AI/ML-driven B2B SaaS products • Lead technical hiring process, developer onboarding, code reviews, architectural discussions, daily standups, SDLC enforcement, dev environment standardization, and mentorship programs • Foster culture applying DevOps best practices, including CI/CD pipelines, automated testing, and monitoring/alerting • Productize generally useful features, grow data platform, standardize internal data model, and package common code • Adapt cloud infrastructure to support product growth while maintaining performance and minimizing costs • Develop web apps in React + Flask for customer decision support, task prioritization, analytics, and data capture • Integrate with enterprise data warehouses, ERPs, CRMs, third-party APIs, and miscellaneous data silos. Build and maintain complex Python data pipelines powering user-facing dashboards and automated outreach systems • Build custom datasets on proprietary data to develop applied AI/ML models, deploying using MLOps best practices --- About Saxecap: SaxeCap is a multi-strategy AI IP development and investment firm. As the leading AI-oriented firm in private equity, we utilize proprietary AI & automation software to drive enterprise transformation and conduct levered buyouts. We presently work with over a dozen leading PE firms and several dozen enterprises to drive topline growth and margin expansion through AI & automation. Contact us to learn more.• ### Backend Engineer, Data Scientist @ Stella.ai Jan 2016 – Jan 2018 | Redwood City, California • Developed a system to score 200MM potential candidate-job pairings and select 10-20K to send to candidates as daily job recommendations, formulated as a constrained maximum flow problem, solved using networkx in Python • Built manual review dashboard to streamline internal recruiter team workflows and automate ML dataset expansion • Engineered data pipelines and set up cloud infrastructure (e.g. Airflow) for sourcing jobs, extracting features from candidate resumes and job descriptions, making recommendations, and submitting & tracking job applications • Built integrations with job boards and applicant tracking systems. Built and maintained Stella's internal data model • Innovated foundational AI/ML recommender systems, directly accounting for 30% of hires facilitated by Stella ### Software Engineering Intern @ MuleSoft Jan 2016 – Jan 2016 | San Francisco, CA • Worked with AngularJS to develop internal, front-end interfaces for administrators • Wrote back-end functionality for these interfaces in Java, serving this functionality via RESTful API endpoints (via JAX-RS) • Wrote Python and Javascript code for MongoDB migrations ### Research Assistant @ Stanford University Jan 2016 – Jan 2016 | Stanford, CA • Developed convolutional neural networks for segmentation of lung tumors ### CS 107 Course Assistant (TA) @ Stanford University Jan 2015 – Jan 2015 • Taught labs, held office hours, graded assignments/exams ### Molecular Technician @ Emerald Therapeutics Jan 2015 – Jan 2015 • Developed DNA folding simulation software • Developed a suite of code profiling/debugging tools for other coders at Emerald to use • As part of the Mayfield Fellows Program at Stanford: Met with Emerald executives and wrote responses to topics on entrepreneurship ### Research Intern @ Stanford-Brown iGEM Team Jan 2013 – Jan 2013 | NASA Ames Research Center • Executed restructuring plan that streamlined workflows, promoted individual accountability, and solidified the team’s organizational hierarchy • Submitted economic analysis of DNA synthesis-use in labs w/ steps to cut costs & improve productivity • Developed and completed four projects → DNA-silver nanowires, de-extinction of ancient protein, CRISPR-Cas probiotics, chromogenic reporter system → http://2013.igem.org/Team:Stanford-Brown • Earned gold medal at regional jamboree; advanced to/competed in world championships ### Research Intern @ Stanford University Jan 2012 – Jan 2012 | Stanford, CA • Genetically engineered one HALO-tagged & two mutant forms of DNA Gyrase • Paid internship under Stanford University’s Bioengineering Research Experience for Undergraduates ## Education ### Master’s Degree in Computer Science Stanford University Jan 2015 – Jan 2018 ### BS degree in Chemical Engineering Stanford University Jan 2011 – Jan 2015 ### Computer Science University of California, Berkeley Jan 2010 – Jan 2010 ### High School Branson Jan 2007 – Jan 2011 ### Center for Talented Youth Camp - Chemistry The Johns Hopkins University ## Contact & Social - LinkedIn: https://linkedin.com/in/aray7 --- Source: https://flows.cv/austinray JSON Resume: https://flows.cv/austinray/resume.json Last updated: 2026-03-22