Junior Full-Stack Software Engineer specializing in scalable backend systems
Sunnyvale, CASoftware Engineer Intern3 years experienceJuniorTechnologyWeb DevelopmentSaaS
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About
Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.
Experience
Software Engineer InternNova Works Corporation
Instructional Student AssistantCalifornia State University, San Bernardino
Software Engineer InternDevLabs Technologies
Education
California State University, San Bernardinomaster, Computer Science (2025)
Cambridge Institute of Technologybachelor, Computer Science (2022)
Key Strengths
End-to-end feature ownership from UI/architecture through production deployment
AI/ML API integration (Hugging Face) with robust validation, error handling, and response normalization
Production backend design in FastAPI (versioned REST, JWT auth, structured service layers)
Polished React + TypeScript UX with strong attention to micro-interactions and typed API contracts
PostgreSQL schema design and iteration (refactoring for multi-analysis, constraints, indexing, pagination)
AWS production operations and CI/CD (Docker on EC2, RDS, CloudWatch, GitHub Actions)
Incident/scaling troubleshooting: reduced latency ~30–50% by moving blocking external calls to async with timeouts/retries
Shipped full-stack lead capture + account creation flow end-to-end in Next.js (App Router + TypeScript)
Clear separation of reads (Server Components) vs writes (Client -> Route Handler) for security and performance
Post-launch ownership: monitored API logs/DB performance, fixed edge cases (duplicates), improved validation/error handling and UX
Improved dashboard load time ~30% by reducing bundle size, memoizing expensive computations, and moving fetching to Server Components
Designed Postgres relational model with constraints/indexes; optimized queries with composite indexes validated via EXPLAIN ANALYZE
Built durable onboarding workflow with retries/idempotency using unique request IDs, DB constraints, and transactional writes
Production-quality defaults: strong typing, modular code, tests on critical paths, structured logging and performance monitoring
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