I am a machine learning engineer with nearly 3 years of industry experience and a Master’s in AI Systems from NUS. I focus on the full ML lifecycle — model design, training, evaluation, deployment, monitoring, and iteration — and I’m hands-on with PyTorch, Scikit-learn, and Keras for supervised, deep, and reinforcement learning. I have shipped production-grade systems on AWS with CI/CD, observability, and security scanning.
I’m comfortable optimizing algorithms for both accuracy and efficiency, integrating ML into existing systems, and documenting workflows. I have an active interest in forex, crypto, and decentralized finance, and I’m keen to apply ML in financial services domains.
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