Xiaofan Jin
@xiaofanjin3
Senior software engineer building scalable, production-grade systems across fintech, retail, and AI.
United StatesWhat I'm looking for
I am a senior software engineer with 10+ years building scalable, production-grade systems across fintech, retail, and AI startups. I design event-driven services, ML-integrated workflows, and responsive real-time user interfaces that deliver measurable business outcomes.
At SoFi I developed and scaled a Loan Platform supporting $5.1B in originated personal loans, built partner-facing interfaces and routing engines, and integrated ML detectors to reduce manual reviews and fraud exposure. At Amazon I led engineering for DashCart, improving checkout throughput and edge UI responsiveness while integrating real-time item classification.
I have deep expertise in Java, Python, Go, React, GraphQL, and cloud-native infrastructure (AWS, Terraform, ArgoCD), and a strong track record of improving reliability, reducing latency, and increasing automation and test coverage.
I am collaborative and detail-oriented, experienced mentoring engineers, leading cross-functional design reviews, and delivering systems that balance operational visibility, security, and customer-focused execution.
Experience
Work history, roles, and key accomplishments
Developed and scaled the Loan Platform supporting $5.1B in originated personal loans, increasing non-balance-sheet revenue contribution by 22% and reducing partner abandonment by 11%. Implemented Java-based LoanRoutingEngine and React/TypeScript partner interfaces to cut latency and improve partner throughput.
Led engineering for Amazon Dash Cart features supporting 750K+ transactions across 60+ stores, improving contactless checkout adoption by 38% and reducing UI rendering latency by 61%. Built real-time item registration and vision-based classification to achieve sub-300ms SKU recognition and 99.1% accuracy.
Software Engineer
Noonum
Jun 2017 - Dec 2017 (6 months)
Built graph ingestion and entity-linking pipelines to accelerate thematic indexing, cutting graph build time by 58% and enabling concept-to-company scoring for thematic portfolio construction. Deployed analytics notebooks to support early customer pilots and investor demos.
Education
Degrees, certifications, and relevant coursework
Northeastern University - Seattle
Master of Science, Computer Science
2016 - 2018
Completed a Master's degree in Computer Science focusing on advanced software engineering and applied machine learning from 2016 to 2018.
University of Washington
Bachelor of Science, Mathematics
2013 - 2016
Completed a Bachelor's degree in Mathematics with coursework supporting quantitative and analytical foundations from 2013 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
Skills
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