Singapore
A system architect, with 13 years of experience, has a deep interest in machine learning and artificial intelligence. Has an interest in pursuing relevant knowledge to keep up to date in this fast-paced changing environment. Aspiring to be a machine learning engineer with deep knowledge of the latest technologies.
Focus on building recommendation engines and transfer to the industry partners. Translate emerging technologies from research institutes to the production environment. Exploring cloud-native development approaches and technologies to deliver more effective enterprise solutions. Technology expertise: - Docker, Kubernetes - Nginx, RabbitMQ - Google Cloud Platform, Amazon Web Service - ElasticSearch, MongoDB, Neo4j - Spring Boot, Swagger Machine Learning: - Recommendation System
Technical consultant for Machine Learning and Data Analytics projects. Machine learning engineer / Data Analyst in several data analytics projects which include data centre operation analytics, predictive maintenance in manufacturing and ACMV analytics in buildings. Deep-dive in reinforcement learning (DQN, DDPG, A3C) as part of technology exploration. Technology expertise: - Python (Pandas, Numpy, Sckit-learn, Matplot, Seaborn, Plotly, Tensorflow) - Tableau Machine Learning: - Time series analytics - Reinforcement Learning
Technical consultant for Data Privacy Technology. System architect in Data privacy project which includes integrating Data Privacy Technologies into a common platform. Lead a team of software developers and adopted SCRUM to deliver a functional Proof-of-Concept system within 6 months. Technology expertise: - Jenkins, Artifactory, JIRA, Git, Maven - Sencha, AngularJS - Java, Tomcat, Hibernate
In-source staff for Defence Science Technology Agency (DSTA) and DSO National Laboratory (DSO). Experience in system architecting and integration with knowledge of full-stack development. The main role is to work with research scientists to understand their research work and translate into a functional system. Acquire domain knowledge in NLP, Decision Support System, Ontology through exposure to projects. System development and integration of various technologies for the following project: - Bayesian Inference System - Information Extraction and Resolution System - Information Search and Operational Research System Technology expertise: Back-end - Java web service, RESTful web services - MySQL, PostgreSQL, Neo4j, ElasticSearch - PostGIS, OpenGeo, ArcGIS - VMWare, VirtualBox - Network/Server configuration - HTCondor Front-end - Javascript, ExtJS, JQuery, D3.js - Java application - Eclipse-plugin