About

Electronics & Communication Engineering graduate with Cisco CCNA 1–3 certification and hands-on telecom exchange experience, seeking Network/NOC Engineer roles in Bangalore. Built and deployed 3 IoT and embedded systems projects, including a predictive maintenance model that achieved 90%+ fault-classification accuracy across 500+ industrial motor samples with SCADA integration.

Experience2

1. BT

   Telecom Network Intern

   Jul 2024 — Present

   BSNL Telecom Exchange

   Documented live switching systems and optical fiber infrastructure across a full enterprise telecom exchange, mapping network topology to CCNA-level routing, switching, and fault-isolation procedures. Connected classroom CCNA theory to production-grade networking equipment, gaining real-world exposure.

2. AT

   Software Development Intern

   Feb 2024 — Present

   Accent Techno Soft Pvt. Ltd.

   Delivered 2+ production websites using HTML/CSS/JavaScript through iterative, version-controlled Git workflows. Collaborated cross-functionally with design and QA teams using agile-style task handoffs and code review processes.

Projects3

• AI-Based Predictive Maintenance System for Industrial Motors

  Engineered a fault detection model on 500+ labelled motor data samples (temperature, vibration, current), achieving 90%+ classification accuracy. Designed a real-time monitoring dashboard with threshold-based alerts and SCADA integration for industrial-grade fault visibility.

  • Python
  • Machine Learning
  • SCADA Integration

• Water Quality Testing & Monitoring System

  Built a multi-sensor system integrating pH, TDS, temperature, and turbidity sensors, triggering automated alerts within 30 seconds of threshold breach. Sustained 24/7 continuous data logging for 2–4 weeks, validating hardware stability under real-world environmental variation.

  • ESP8266
  • 4-Sensor Array
  • Continuous Data Logging

• Automated Plant Watering System

  Built a soil-moisture-driven irrigation system with 30-minute sensing intervals, eliminating manual watering through precision scheduling. Deployed remote monitoring via the Blynk app; maintained fault-free operation for a full academic semester.

  • ESP8266
  • Blynk
  • Remote Monitoring

Education1

• KI

  B.E.

  2022 — 2026

  KPR Institute of Engineering & Technology, Coimbatore (Anna University)

  Electronics & Communication Engineering