Vinay Negi

About

Computer Science student with a strong foundation in data structures and algorithms, building production-grade backend and full-stack systems. Experienced in AWS-based automation, distributed applications, and client-facing freelance delivery.

Experience

• Software Development Engineer Intern
  Dell Technologies
  Jun 2026 – Jul 2026
• Web and App Developer
  Aug 2025 – Jan 2026
• Full Stack Developer Intern
  Jun 2025 – Jul 2025

Education

• Bachelor of Technology
  Manipal Institute of Technology
  Computer Science · 2023 – 2027

Skills

• SQL <3 months
• C <3 months
• CSS <3 months
• FastAPI <3 months
• HTML <3 months
• Python <3 months
• Java <3 months
• JavaScript <3 months
• Node.js <3 months
• Tailwind CSS <3 months
• React <3 months
• React Native <3 months
• TypeScript <3 months
• Next.js <3 months
• Jetpack Compose <3 months
• Appwrite <3 months
• API Integration Understanding <3 months
• CI/CD <3 months
• Agile Methodologies <3 months
• Go <3 months
• Distributed Systems <3 months
• Expo <3 months
• PRISMA <3 months
• Express <3 months
• Drizzle ORM <3 months

Tools / apps / platforms

• Amazon Web Services AWS <3 months
• Android Studio <3 months
• Firebase <3 months
• Git <3 months
• GitHub Actions <3 months
• MongoDB <3 months
• PostgreSQL <3 months

Projects

• DropIt – Cloud Storage Platform
  React, React Native, Appwrite, Go, TypeScript

  Built a cross-platform, horizontally scalable cloud storage system serving 150+ users with 1000+ weekly uploads. Designed a conflict-resolution algorithm for real-time sync, reducing data conflicts by 95%. Built an analytics dashboard for usage, activity, and file-interaction insights to support data-driven decisions.

• Psychometric Test Web App
  Next.js, Tailwind CSS, PostgreSQL, Prisma, TypeScript, tRPC

  Built a candidate psychometric evaluation platform supporting 10,000+ concurrent test attempts without data contention. Optimized query execution paths, cutting response latency by 35% through algorithmic query restructuring and index tuning. Engineered fault-tolerant error handling, data validation, logging, and CI/CD pipelines with monitoring, ensuring zero-downtime production rollouts.

• RepoReview – AI Codebase Q&A
  Next.js, Tailwind CSS, PostgreSQL, Prisma, Gemini API

  Built an AI-powered codebase Q&A platform using Next.js, Tailwind CSS, PostgreSQL (pgvector), Prisma, and the Gemini API, enabling semantic search and context-aware answers over ingested GitHub repositories. Built an automated ingestion and embedding pipeline with RAG-based querying and per-file Gemini API summarization for onboarding-friendly code documentation.