# Steven Rogalsky

> Software Engineer | Statistics, Data Science, Machine Learning, Full-Stack Engineering

Location: San Francisco, California, United States
Profile: https://flows.cv/stevenrogalsky

I am a data-driven Software Engineer with over 8 years of experience in developing, testing, and deploying scalable and performant web and native applications. I have a master of science degree in statistics and a strong background in statistical analysis, machine learning, and system design.

Currently, I am a Senior Software engineer at Apple, where I work on exciting problems in triage automation, AI, and machine learning to help drive growth in Apple Services like Music and TV.

## Work Experience
### Senior Software Engineer @ Apple
Jan 2024 – Present | Cupertino, California, United States
- Design scalable Next.js and Python applications to file bugs and triage marketing campaign issues, reducing engineering effort by an estimated 50% year-over-year
- Enhance data pipelines and create AI agents that allow stakeholders to gather insights with natural language
- Develop supervised learning models using BERT and TF-IDF + MLP to predict bug root cause at 85% accuracy

### Software Engineer @ Family Proud
Jan 2021 – Jan 2024
- Spearheaded migration to Apollo GraphQL that eliminated cold starts and decreased request latency by 90%
- Implemented collaborative filtering and a bipartite graph neural network in Python and PyTorch for
recommendation, increasing new user-to-content engagement by 20%
- Established a scalable data collection pattern in React Native for Mixpanel analytics, allowing product
decision-makers to understand customer needs

### Software Engineer 2 @ Intuit
Jan 2019 – Jan 2021 | Greater San Diego Area
- Developed automated end-to-end test suites, introduced logging and alerts, and created Splunk
dashboards for tracking usage data, which helped to maintain a 99.9%+ user interaction success rate
for React micro-frontends
- Led the technical implementation and A/B testing of a new and improved payment experience in
TurboTax Online, collaborating with stakeholders to drive over $2 billion in revenue
- Created a shared form component library, enhanced CI/CD pipelines, and improved documentation /
tech hygiene which increased quality, velocity, and scalability and expanded team ownership

### Full Stack Engineer @ SolidProfessor
Jan 2015 – Jan 2019
- Modernized the platform’s REST API with a layered backend and created a performant authentication
service utilizing JWTs, which reduced development time and addressed scalability issues
- Leveraged SQL for report generation, introduced Google Analytics and heat-mapping, and owned a
data pipeline to Amazon Redshift, resulting in analytics-driven UX decisions which significantly
boosted subscription conversion
- Substantially improved app performance by optimizing SQL queries, caching high-frequency requests,
and implementing best practices for Vue and Angular frameworks

### Student Assistant @ UC San Diego Extension
Jan 2013 – Jan 2015
- Performed quality assurance for online courses in the Blackboard system
- Prepared video lectures with PowerPoint and Adobe Presenter and managed course files on video fileservers
- Assisted instructors with recording software

### Hospitality Clerk @ UCSD Conference Services
Jan 2012 – Jan 2012
- Greeted, checked-in, and provided directions for guests
- Operated a register and kept logs for equipment


## Education
### Master of Science - MS in Statistics
San José State University
Jan 2021 – Jan 2023

### Bachelor of Science - BS in Computer Science
UC San Diego
Jan 2010 – Jan 2015


## Contact & Social
- LinkedIn: https://linkedin.com/in/srogalsky

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