Sriniketh

About

Computer Science graduate with hands-on experience building web applications using the MERN stack, TypeScript, and REST APIs. Strong foundation in frontend and backend development, databases, authentication, and performance-focused application design.

Experience

• Full-Stack Web Development Trainee
  Gradious Technologies
  Jul 2025 – Jan 2026
• Intern
  NRSC – ISRO
  Oct 2024 – Dec 2024

Education

• Bachelor of Technology in Computer Science and Engineering
  Sri Indu College of Engineering and Technology
  Computer Science and Engineering · 2022 – 2026
• Intermediate
  Narayana Junior College
  2020 – 2022
• Secondary Education (SSC)
  Bhashyam High School
  2014 – 2020

Skills

• SQL
• CSS
• Express.js
• HTML
• Python
• JavaScript
• Node.js
• React
• TypeScript
• JWT
• API Integration Understanding
• RBAC
• Mongoose
• Bullmq
• zod

Projects

• Loan Management System ↗
  HTML, CSS, JavaScript, Node.js, Express.js, MongoDB, Mongoose

  Developed and deployed a full-stack loan management application with separate customer and administrator workflows, authentication, and role-based access control. Built RESTful APIs for loan applications, EMI calculation, loan approval/rejection, customer management, user administration, and profile management. Implemented an admin dashboard for managing users and loan applications, including approval, rejection, status tracking, analytics, and system settings. Migrated the application from its earlier SQL-based implementation to MongoDB using Mongoose and integrated the deployed frontend and backend services.

• NexusHire – AI-Powered Job Application Tracker
  React, TypeScript, Node.js, Express.js, MongoDB, Redis, BullMQ

  Built a multi-tenant SaaS platform for tracking and managing job applications with secure JWT authentication and role-based access control. Designed and implemented RESTful APIs using Node.js and Express.js with MongoDB for user, application, and workflow management. Implemented Redis caching and BullMQ background jobs for email notifications, AI-powered analysis, and automated task scheduling. Improved application reliability and performance using Zod schema validation, rate limiting, structured logging, and MongoDB indexing.

Courses & certifications

• Machine Learning in Python · SWAYAM
• An Introduction in Artificial Intelligence · Great Learning
• Full Stack Development · Gradious Technologies