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Research
My primary research interests lie in natural language processing (NLP),
especially in its Adversarial Attack
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Education Background
Shanghai Jiao Tong University, China
MSc in Computer Science with
GPA 3.18/4.0
Research interests: Natural Language Processing, Adversarial Attack
Sep. 2020 - March. 2024
Asia Pacific University, Malaysia
BSc (Hons) in Software Engineering with First Class Honours
Apr. 2015 - Nov. 2018
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Research Experience
- Khai Jiet Liong, Hongqiu Wu, Hai Zhao. "Unveiling
Vulnerability of Self-Attention". COLING
2024 [PDF]
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Work Experience
Advanced Vision Analytics Pte Ltd, Singapore
Software Engineer / Machine Learning Engineer
May. 2022 - Jan. 2023
Descriptions
- Design and optimize the data visualization of SolarSens, and develop the SolarSENS dashboard
and its modules,
including automated meter reading, bill generation, inverter control scheduling, and work
orders.
- Perform data retrieval, analysis, and caching to generate accurate business dashboards and
visual reports. Implement
machine learning algorithms to predict energy loss in solar panels' efficiency.
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Project
Advanced Vision Analytics Pte Ltd, Singapore
Frontend and Backend for SolarSens Screenshot
May. 2022 - Jan. 2023
Proficient in Python, Angular, Cypress, Redis, SQL, Thingsboard, Docker, Digital Ocean,
Nginx
FastAPI, and Flask.
Key accomplishment
- Streamlined the deployment process, achieving deployment time of under 3 minutes and
integrating frontend testing
tools to minimize production errors.
- Implemented query caching using Redis to alleviate the server load on Thingsboard,
optimizing website performance for
Vietnamese clientele. Resulted in faster loading speed and reduced network latency.
- Applied query optimization techniques, such as query statement rewriting and efficient
query
syntax, to enhance the
execution plans and significantly improve query response time.
- Participate in the development of a web-based self-provisioning wizard for edge IoT
devices Screenshot,
collaborating with a team to create a configuration server. Simplified the deployment
process, enabling on-site technicians to handle the setup, while allowing remote work
for
company engineers during large-scale deployments (over 500 edge devices).
Advanced Vision Analytics Pte Ltd, Singapore
Machine Learning Module Screenshot
Python, SQL, Thingsboard, Docker, Scikit-learn, eCharts
Sept. 2022 - Jan. 2023
Key accomplishment
- Developed a data extraction, transformation, and loading pipeline to gather data from
over 800 edge devices in Vietnam,
Malaysia, and Singapore.
- Collaborated with cross-functional teams to design and optimize data visualization in
SolarSens.
- Co-designed and implemented machine learning algorithms for data analysis, including
energy prediction models to
estimate efficiency loss in solar panels due to factors like shading and dirt
accumulation.
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Micellaneous
I am a Malaysian Chinese and I develop webapp in my free time.
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