
Shree Bohara
Software Engineer @ QuinStreet
I build full-stack products and tools for evaluating AI systems
About Me
I'm a Software Engineer at QuinStreet in San Francisco, working on Pond, a consumer insurance platform. I joined as an intern in June 2025 and became a full-time engineer in June 2026. My work spans React interfaces, Spring Boot services, streaming AI features and observability. Outside work, I build codebase retrieval, voice interfaces and agent-evaluation tools. FaultLab is a team-built, AI-assisted project that separates saved evidence from fresh tests. My algorithmic options trading system is an engineering project with live execution disabled. I completed my M.S. in Computer Science at USC in May 2026. I like software that makes uncertainty visible and gives people a clear way to check what happened.
Skills & Technologies
Languages
AI & LLM
Backend
Frontend
Data
Cloud & Observability
Testing
Experience
Software Engineer
QuinStreet
Jun 2026 - Present · San Francisco, CA
- •Built an incident-analysis pipeline that groups production errors and grounds model analysis in source files. It runs in dev and stage while observing production data.
- •Designed and shipped a consent-state workflow with idempotent capture, transactional audit records and post-commit notification handling.
- •Built a notification-preference migration with dual-write support and value-by-value verification of dev and stage backfill batches.
Software Engineer Intern
QuinStreet
Jun 2025 - Jun 2026 · San Francisco, CA
- •Co-architected the platform and built multi-step onboarding with address autocomplete, dependent vehicle selection and policy-document import.
- •Built the rating engine in Java and Spring Boot to connect the product's insurance workflow to rate APIs.
- •Built the conversational advisor's Spring WebFlux streaming backend and React interface, including progressive rendering and in-chat coverage changes.
Software Engineer Intern
DeepTek Medical Imaging
Jun 2023 - Jan 2024 · Mumbai, India
- •Built health-record exchange APIs and interfaces in Node.js, React and MySQL, standardizing records around FHIR resources.
- •Improved service responsiveness with query optimization and Redis caching, and added structured logging and distributed tracing.
- •Built clinical-document classification and record matching using classical NLP, edit distance and phonetic encoding.
Education

University of Southern California
Master of Science in Computer Science
2024 - 2026 · Los Angeles, CA
Featured Projects
View AllLet's Connect
Working at QuinStreet. Happy to discuss software, AI systems and engineering projects.