Keerththipan Anantharajah

Keerththipan Anantharajah has a strong background in machine learning development and embedded system engineering. In 2018, they joined SenzMate IoT Intelligence as a Machine Learning Engineer, where they worked on various projects related to car damage estimation, stock counting, hand wash pattern identification, pest identification, yield prediction, moisture prediction, anomaly detection, and real-time environmental forecasts. Keerththipan utilized technologies such as Yolo, SSD, Lstm, NLP, Bi-Lstm, CNN-Lstm, Resnet, Mobilenet, Efficient Net, Regression Models, ARIMA, LightGBM, and Web Scraping. Additionally, they developed a watchband device for hand wash detection using ML models. In 2020, Keerththipan joined SenzAgro Solutions as an Embedded System Engineer, focusing on firmware development for IoT monitoring devices and sensors, particularly in real-time data collection from multiple sensors.

Keerththipan Anantharajah began their education at St. John's College, Jaffna, where they studied Mathematics from 1999 to 2013. Following this, they attended Uva Wellassa University of Sri Lanka from 2015 to 2019, earning a Bachelor's degree in Science and Technology with a specialization in Mechatronics. Currently, they are pursuing a Master's degree in Artificial Intelligence at the University of Moratuwa, starting from 2020.