Chalana Sangeeth
Electrical & Electronic Engineer (UG)
ML | AI Enthusiast
Undergraduate Engineer specializing in Electrical and Electronic Engineering and machine learning
Undergraduate Engineer specializing in Electrical and Electronic Engineering and machine learning
I am Chalana Sangeeth, an undergraduate in Electrical and Electronic Engineering at South Eastern University of Sri Lanka, with a passion for AI, ML, and automation. I enjoy working on projects that combine electronics and intelligent systems.
I have experience in IoT automation, AI model training, and Flutter app development. With certifications in Supervised Machine Learning and a Python programming internship, I am eager to expand my skills and explore innovative technologies.
B. Sc. Engineering (Honors) in Electrical and Electronic Engineering (UG)
Embilipitiya,Sri Lanka
Sinhala , English
IoT, Machine Learning , AI ,App Development
As a Software Engineering Intern at Digital Platform - Sri Lanka Telecom, I contributed to full-stack development for a product management system. My role involved implementing features using Flutter, Dart,ensuring seamless API integrations, and participating in agile development cycles and team code reviews to enhance code quality.
I gained hands-on experience with Flutter, Dart, API handling, and Git, strengthening my skills in front-end and back-end development, database management, and version control while working in a collaborative development environment.
PowerProx is a web-based asset management system for tracking and maintaining Rectifiers, Generators, Batteries, SPDs, and UPS systems.
During my training, I worked as a team member, contributing to feature development, UI enhancements, and API integrations using Flutter and Dart, improving inspection processes and asset updates.
Designed and implemented a water level indicator and Automatic & Smart Switching system using Nodemcu, Flutter, and Firebase with my own created Mobile Application. It can show real-time Water Level and control switches using a Mobile application and alerts show in real-time.
🚀 Developed a route optimization system using Flask, Dijkstra’s algorithm, and Google Maps API to find the fastest and shortest travel paths based on distance and time.Ideal for travelers, delivery services, and tour planners to save time and fuel by optimizing multi-stop routes.
Feel free to reach out to me for collaboration or job opportunities. I'm currently available for internships and part-time positions.
