Ee Yeo Keat Email & Phone Number

Singapore

Working on research and development projects centered around Artificial General Intelligence (AGI), with a specific emphasis on addressing computer vision challenges and elevating inference capabilities through advanced reasoning techniques.

Remotely

- Conduct research and development on AI research project funded by the Ministry of Science, Technology and Innovation (MOSTI) Malaysia- Developed an analytical dashboard with predictive analytics to transform the raw data from multiple sources into a comprehensive overview.- Leveraged various unsupervised machine learning techniques for clustering analysis on the COVID-19 cases in Malaysia and proposed a novel clustering algorithm to handle temporal geospatial clustering problems.- Developed regression and classification models to predict the incoming potential high-risk region and next most probable outbreak cluster which could benefit the optimization of limited medical resources.- Improved dynamic risk stratification coupled with satellite image analysis by using deep learning models including ResNet.Publication: “Geospatial Features Influencing the Formation of COVID-19 Clusters” (Accepted)Publication: “Spatial-Temporal Cluster Analysis Method for Density-based Clustering and Growth Measurement to Manage Local Outbreaks of Infectious Diseases” (under review)

Remotely

- Wrangled with daily COVID-19 cases data from multiple sources and constructed geospatial dataset for data scientist team to train the machine learning prediction algorithms.- Optimized the codes that function to construct the comprehensive analytical dataset, which reduced process time by 10%.- Performed reverse geocoding by using Google Maps Platform API to retrieve millions of coordinates address, then collected population density information and nearby Point-of-Interest.

Selangor, Malaysia

- Conduct research works on deep reinforcement learning methods such as DQN, recurrent based DQN to optimize multi-objective problems in recommendation environments. Awarded 1st place as best colloquium presenter.Publication:” Multi-Objective Deep Reinforcement Learning for Recommendation System” (under review)- Conducted novel research on employed deep reinforcement learning approaches in stock market trading tasks.Publication: "LSTM Based Recurrent Enhancement of DQN for Stock Trading" 2020 IEEE Conference on Big Data and Analytics (ICBDA), 2020, pp. 38-44, DOI: 10.1109/ICBDA50157.2020.9289832.- Collaborated with domain experts and solved data analysis problems in cross-disciplinary projects included learning analytics, chemical compound, and bioinformatics by leveraging various machine learning techniques with python as the primary language.

Remotely

- Led the research team to design and develop a prototype of a learning community platform as a long-term research product.- Developed and deployed React web application in Google Cloud Platform (GCP), backed with machine learning based recommendation engine.

Selangor, Malaysia

- Developed various web applications for clients from wide range of industries to improve their business operation by using Laravel as core framework.- Worked on full-stack development which involved front-end and backends of application, from front-end UI until database, and ensures application successfully operating in production.- Initiated, proposed and developed inventory & employee management system that improved company internal operation to higher effectiveness.- Co-founder of the STEM education learning platform in Malaysia and contributed to support more than 200 primary & secondary students kick-started their programming journey through asynchronous learning by using the platform.- Took the initiative to propose and developed a prototype of the vehicles management system that allows vendors and outsourced drivers to monitor the status of at least 50 lorries (next coming inspection date, road tax expired date, vehicle insurances date).- Daily used technologies language included HTML, CSS, JavaScript, Laravel, Bootstrap, MySQL.

Selangor, Malaysia

- Initiated and drove digital transformation in the business and contribute to increment of more than RM 300,000 of the company’s revenue within one year in 2020.- Led cross-functional teams to adopt digitalization and improved the company’s core business operations by leveraged digital tools.- Extended the business sales channel to many online platforms and increased customer base.- Initiated data collection process to prepare for data analytics in the future.- Identified the gap in existing products and services and planned the long-term strategic objectives to enhance business performances.

Selangor, Malaysia

- Provided process engineering support to Semiconductor Final Test Operations.- Optimize products yield, quality, productivity, and cost by evaluating, troubleshoot and improve existing methods and processes.- Worked collaboratively with wide range personalities to handle critical quality issues and supported ship quality products on time to avoid customer production line down. For example, CQC EOS issue, critical VM defects, untested unit from upstream.- Managed new products (NPI) test qualification process by comprehensive documentation (CAB, MRAT, FMEA), buyoff machine and presented data in plant CAB quorums.- Leaded MDR team in quality issues root cause investigation for determined necessary containment and corrective actions.- Worked as a team achieved goal 30% reduction in critical I8D/MWWC/Zero human-related quality issues and improved productivity.

Physics Department In Faculty Science, Upm

- Educate students on the physics fundamental theory of the experiments before they hands-on.- Demonstrated proper use of equipment and techniques to conduct practical experiments.- Supervised students during their laboratory practicals to ensure compliance with health and safety rules.- Communicate with students during experiments and provide feedback on their performance.

Malacca, Malaysia

- Set up and controlled various type of tester for product quality assurance.- Performed functional test on hardware assembly products from the production line.- Collaborated with production management and improved efficiency of production line.- Identified and diagnosed the defects on PCBA that caused failure in functional test.- Collected data for analysis and prepared comprehensive report of failure analysis.- Studied PCB schematic design and performed debugging.- Managed and optimized production flow.- Supported production line and operation process.

Selangor, Malaysia

- Dealt with multiple departments in executing plans for the event.- Coached head of departments for operation and planned job scope for their department.- Coordinated effective communication flow between multiple departments.

Selangor, Malaysia

- Led cross-functional team to organized the event successfully and achieved an amount of 500 audiences participated in the event.- Solved critical problems such as venue reservation issues by negotiated a settlement with authorities.- Engaged with external company for event sponsorship.- Prepared presentation to Student Affairs Division Officer.

Master'S Degree, Science (Intelligent Systems), 4.00

Research area focus on using deep reinforcement learning approaches to handle multi-objective optimization problem in recommendation.

Bachelor Of Science (Honours) Major In Instrumentation Science, Electronic, 3.839 / 4.00

Activities and Societies: Yinzi Acoustic Music Workshop, Music Club in UPM Jan 2015 - Dec 2015 Position: President

Malaysian Higher School Certificate (Stpm), Physics

Activities and Societies: Executive member of Prefects Top Board in school. Gained various leadership award. Actively participated.

Malaysian Certificate Of Education (Spm), Science

Activities and Societies: An active member of St John Ambulance Malaysia. Actively involved in interschool activities and also.