Summary
Overview
Work History
Education
Skills
Languages
Certification
Projects
Timeline
Generic

Dilan Udunuwara

Networking And Mobile Computing Student
Kuliyapitiya

Summary

Motivated Networking and Mobile Computing student with hands-on experience in IoT-based projects, embedded systems, and networking solutions. Proficient in developing solutions using ESP32, Python, and various IoT platforms. Looking for an internship to apply my technical knowledge and gain industry experience in networking and mobile computing.

Overview

2
2
Certifications

Work History

Intern

  • Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
  • Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
  • Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
  • Sorted and organized files, spreadsheets, and reports.

Education

Bachelor of Science - Information Technology

Horizon Campus
Sri Lanka
04.2001 -

Skills

  • Networking: TCP/IP, DNS, DHCP, VPN, Cisco Routers/Switches
  • Programming Languages: Python, C, JavaScript
  • Embedded Systems: ESP32, Arduino
  • IoT Platforms: Wokwi, ThingSpeak
  • Mobile Computing: Android Development, Mobile App Deployment
  • Software/Tools: Git, Docker, Wireshark, GNS3
  • Machine Learning: TensorFlow, Keras

Languages

English, sinhala
Native language

Certification

Cisco Certified Network Associate (CCNA) (following)

Projects

IoT-Based Intelligent Traffic Management System

  • Designed a real-time traffic management system using ESP32 and Python on the Wokwi platform.
  • Developed sensor networks to monitor and manage traffic flows efficiently.
  • Leveraged IoT for real-time traffic monitoring and analysis.

Water Quality Monitoring System

  • Implemented a water quality monitoring system using IoT sensors to measure pH, dissolved oxygen, and temperature.
  • Built an embedded solution using ESP32 for real-time data collection and alert systems.
  • Integrated AI models to predict water quality issues for aquascaping tanks.

Timeline

Bachelor of Science - Information Technology

Horizon Campus
04.2001 -

Intern

Dilan UdunuwaraNetworking And Mobile Computing Student