Experience

SAM audio

• Retail
• 1 - 100 Employee

• Chief Executive Officer / Co-Founder

  • Aug 2020 - Present



Monetary Authority of Singapore (MAS)

• Singapore
• Banking
• 700 & Above Employee

• Assistant Director, Economic Surveillance & Forecasting

  • 2018 - Oct 2021

  Natural Language Processing and Economic Nowcasting Model using Machine Learning (scikit-learn & tensorfow). Developed Django web applications that can provide real time monitoring of news (unstructured data, unsupervised learning - using various techniques such as Latent Dirichlet Allocation and page rank) and perform macroeconomic indicators forecasting (supervised learning on structured data, using Random Forest Ensemble and Deep Recurrent Neural Network). Natural Language Processing and Economic Nowcasting Model using Machine Learning (scikit-learn & tensorfow). Developed Django web applications that can provide real time monitoring of news (unstructured data, unsupervised learning - using various techniques such as Latent Dirichlet Allocation and page rank) and perform macroeconomic indicators forecasting (supervised learning on structured data, using Random Forest Ensemble and Deep Recurrent Neural Network).



Land Transport Authority (LTA) Singapore

• Singapore
• Truck Transportation
• 700 & Above Employee

• Senior Engineer, Data Application

  • 2016 - 2017

  - First-hand experience in leading a team of engineers to break new ground through developing data analysis capabilities for Singapore Rail Transport System (RTS). - Works include developing Python and Machine Learning tools that translate alarm/event logs and operators’ records into engineering insights, thereby achieving reliability engineering objectives through predictive maintenance. - Successfully captured various warning signs such as rolling stock emergency brakes, platform screen door imminent failures, power tripping sequences and tracks geometry alignment. - High proficiency in Python, Jupyter, Panda/Numpy libraries and machine learning library (Scikit-Learn). - Proficiency in Tensorflow (deep learning).



FMC Technologies

• Oil and Gas
• 700 & Above Employee

• Product Design Engineer

  • 2013 - 2016

  - Successfully developed award winning Vortex Induced Vibration Fatigue (VIV) Analysis Suite STARFIRE (in Java) that are able to provide industrial grade accuracy in riser lifespan prediction (benchmarked with MIT SHEAR7) - STARFIRE has been awarded Research & Innovation Award from NUS and received favorable review from Norwegian riser specialists. - Experienced in performing global riser analysis. Offered recommendations in areas such as tension optimization, drilling envelope, hang-offs, excessive BOP axial movement and wave & VIV fatigue assessment. - High proficiency in riser analysis software (Flexcom, Shear7) - Solid product engineering knowledge on subsea technologies (Completion System, Manifold & Pipelines, Riser System, Intervention System, Control System & Drilling System) - Solid understanding of offshore equipment processes such as Component Testing, Factory Acceptance Testing (FAT), Extended Factory Testing (EFAT), System Integration Testing (SIT) and various maintenance activities such as Shell’s Preservation, Storage & Maintenance (PSM) - Rich experience in collaborating with clients (Shell, Murphy, Chevron, Petronas) - Rich experience in creating detailed engineering documents, drawings and various design calculations - Knowledge in design codes API 6A, API 17D, ASME B16.9-2012