Naveen Nampally

About

Third-year computer science undergraduate and software engineering intern with hands-on experience building backend services, APIs, and AI/LLM workflows. Works on full-stack projects involving distributed systems, databases, and modern web development.

Experience

• Software Engineer Intern
  DAM – Defence Against Misinformation
  Sep 2026 – Present
• Developer Intern
  NextGen Unicorn
  — – Present

Education

• B.Tech in Computer Science
  MVSR Engineering College
  Computer Science · 2024 – 2028
• Intermediate (MPC)
  Alphores Inter College
  MPC · 2022 – 2024
• Secondary School Certificate (SSC)
  KHS Mancherial
  2022

Skills

• C <3 months
• Express.js <3 months
• Python <3 months
• CSS3 <3 months
• JavaScript <3 months
• Node.js <3 months
• React <3 months
• API Integration Understanding <3 months
• HTML5 <3 months
• RAG <3 months
• Embeddings <3 months
• JWT Authentication <3 months
• Bullmq <3 months

Tools / apps / platforms

• Docker <3 months
• Git <3 months
• GitHub <3 months
• MongoDB <3 months
• MySQL <3 months
• PostgreSQL <3 months
• Postman <3 months
• Redis <3 months

Projects

• TaskFlow – Distributed Job-Processing Platform
  Node.js, PostgreSQL, Redis, BullMQ, Docker

  Built a fault-tolerant, horizontally scalable distributed job-processing platform. Designed distributed workers with atomic conditional updates, graceful shutdown, exponential backoff retries, stale lease detection, API idempotency, priority-based queues, real-time event monitoring, worker health tracking, and system metrics.

• AI Second Brain – RAG-Powered Knowledge Retrieval System
  Node.js, Express.js, OpenAI GPT-4 API, JavaScript

  Developed a RAG system for semantic search and AI-generated responses. Implemented embedding-based similarity search and integrated an LLM to generate contextual answers from retrieved knowledge.

• NeuralBI – AI-Powered Data Visualization Dashboard
  Node.js, Express.js, MySQL, Chart.js, OpenAI GPT-4 API

  Engineered a natural language to SQL pipeline with around 85% query accuracy across 5 schema types. Built backend query execution and automatic chart selection for interactive dashboards.

• E-Pet Daycare Platform Full Stack Web Application
  Node.js, Express, MongoDB, JavaScript

  Built REST endpoints for listings, cart operations, bookings, and session management. Secured authenticated routes with JWT and refresh tokens, and designed MongoDB schemas for users, pets, and bookings.