About me
I am a Master of Science in Computer Science (MSCS) student at Georgia Institute of Technology, specializing in Machine Learning, with a strong focus on applying AI to financial risk management and security. My work involves developing innovative AI solutions to mitigate risks and enhance decision-making in fintech. Given my interest in enhancing security and transparency in financial systems, I am also exploring the potential of blockchain technology and how AI can be leveraged within it for risk management. I am eager to contribute to research opportunities in these areas.
Teaching Experience
- Graduate Teaching Assistant - Georgia Institute of Technology (Apr 2025 – Present):
Assisted in teaching CS7280 Network Sciences, where I conducted tutorials, graded assignments, mentored students.
Previous work experiences
- Senior Data Scientist - Advance.AI (Singapore):
- Deployed machine learning models using AWS ECR, increasing deployment efficiency by 15%.
- Built an automated feedback loop with AWS S3 and AWS Glue, reducing model retraining cycle from months to weeks.
- Provided explainability for model predictions using LIME and SHAP, enhancing stakeholder trust and facilitating model adoption by 20%.
- Developed pipelines to monitor model performance and integrated real-time alerts into Lark, resulting in a 25% reduction in critical incident response time.
- Data Scientist - Jewel Paymentech (Singapore):
- Led fast prototyping and end-to-end productionization of trained models for POCs, accelerating new business initiatives by 30%.
- Gathered requirements, developed full ML systems, and trained text classification/anomaly detection models, deploying them as APIs/Kafka consumers.
- Built an in-house interactive dashboard using Bokeh, enabling the fraud team to monitor web content changes and reduce manual review time from weeks to days.
- Containerized all projects using Docker, ensuring seamless scalability and portability.
Education
- Georgia Tech, Atlanta (Jan 2025 – Present):
- Master of Science in Computer Science (MSCS), Specialization: Machine Learning.
- Expected Graduation: December 2025
- Relevant Coursework:
- CS7643 Deep Learning
- CS7280 Network Sciences
- CS7641 Machine Learning
- CSE6242 Data and Visualisation Analysis
- CSE6140 Computational Science and Engineering Algorithms
- CS8803 Introduction to Blockchain
- Nanyang Technological University, Singapore (Aug 2014 – May 2018):
- Bachelor of Science (Honours) in Mathematical Sciences, Minor: Computing and Data Analysis.
- Relevant Coursework:
- Algorithms and Computing I, II, III (MH1401, MH1402, MH2401)
- Introduction to Computational Thinking (CE1003)
- Probability and Introduction to Statistics (MH2500)
- Stochastic Processes (MH3512)
- Introduction to Data Science (CE9010)
- Data Structures (CZ1007)
Programming Skills
| Category | Skills |
|---|---|
| Languages | Python, C++, SQL, Matlab, R, Java, JavaScript |
| Frameworks | PyTorch, Scikit-learn, XGBoost, LightGBM, Keras |
| Web Technologies | Flask, Scrapy, Puppeteer, Selenium |
| Platforms | Docker, AWS Cloud, Google Cloud Platform (GCP) |
| Databases | Neo4j, Postgres, MongoDB |
Languages
| Language | Level |
|---|---|
| English | Fluent |
| Mandarin | Fluent |
| Malay | Proficient |
CV
Find attached the PDF version of my resume:
resume
Update: 2024/12/08
Contact me
For any inquires, you can reach me via email: k.x.chong95@gmail.com