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Sanskar Pandey

Entry-Level Full-Stack Software Engineer specializing in web apps and cloud

Indore, IndiaFrontend Application Development Intern1 years experienceEntry-LevelWeb DevelopmentTechnologyHigher Education
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About

Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.

Experience

Frontend Application Development InternSnap Computer Systems Pvt. Ltd
Teaching AssistantShri Govindram Seksaria Institute Of Technology and Science
Software Engineering InternGenesis Information Technologies Pvt. Ltd
Java Full Stack DeveloperApex Systems
Java Full Stack DeveloperInfobeans

Education

Cleveland State Universitymaster, Computer Science (2025)
Shri Govindram Seksaria Institute Of Technology and Sciencebachelor, Computer Science (2023)
Shri Govindram Seksaria Institute of Technologybachelor, Computer Science Engineering (2023)

Key Strengths

  • Shipped and owned a real-time order tracking feature end-to-end using Firebase/Firestore
  • Designed Firestore schema with status history for auditability and debugging
  • Improved reliability by enforcing atomic updates and validating state transitions (state machine approach)
  • Frontend performance optimization: reduced re-renders by splitting static vs dynamic components; achieved <600ms page load and smoother live updates
  • Security-focused implementation: tightened Firebase security rules (customer read isolation, staff-only updates)
  • Database performance tuning with composite indexes; validated improvements via EXPLAIN ANALYZE on larger datasets
  • Built resilient backend workflow patterns with retries (transient vs permanent) and idempotency keys to prevent duplicate side effects
  • Production-quality practices: testing pyramid + observability with structured logs, correlation IDs, and key metrics
  • Throughput scaling via parallelizing independent tasks with concurrency control; reported ~40% throughput increase

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Languages

English

Skills

CC++JavaPythonJavaScriptSQLHTMLReactReact.jsNode.jsExpressFlaskSpring BootSpring Data JPAGit