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Algorithm Development Engineer (Intern), R&D Team
Factorem Pte Ltd• May 2021 - June 2021
Worked independently to develop price prediction engine using geometrical computation and computer vision through cleaning and preprocessing quotation datasets, consisting of textual and 3D data, used in training of multi-input machine learning models. Contributed to technical documentations and conducted comprehensive software testing to ensure code quality for usage by the company and R&D team.
Research Intern
DSO National Laboratories• January 2020 - December 2020
Worked on an engineering project titled “Deep-Learning Driven IoT System for Noise Pollution Analysis on Marine Biodiversity” constructing an AI-enabled IoT Model for Long Term Underwater Noise Pollution Monitoring comprising a cost-effective, low maintenance solar-powered Recording System with a Raspberry Pi microcomputer, wireless transmission of data from the hydrophone to a Google Cloud Platform backend storage, a Multi-Label Convolutional Neural Network (CNN) Classification for classification of marine sound events specific to the coast of Singapore and a website display for data visualisation and real-time monitoring.
Research Intern
DSO National Laboratories• March 2019 - December 2019
Worked on an engineering project titled “Soundscape Deep-Learning Driven IoT Model for Smart City Noise Monitoring” aiming to construct a Soundscape Internet of Things (IoT) model capable of reducing time and effort in the process of noise surveillance, by providing information about sounds present around a particular location using Artificial Intelligence (AI) at the core to classify sound accurately.
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