Experienced Machine Learning (ML) Engineer (Data Science, Generative AI and Software/Full-Stack). MEng Computer Science graduate at University College London. Fluent in English, Chinese and Malay. Open to roles in ML/AI Engineering. Acquired Microsoft certifications of AI-900, AI-102 and DP-900.
Education
- Minor in Intelligent Systems
- Integrated Masters - Direct continuation from Bachelor's Degree
- Treasurer of UCL Portuguese Speaking Society 22/23
Experiences
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Pipeline External Corrosion: ML. Built pipeline external corrosion depth & length prediction models of >90% accuracy.
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Pipeline Freespan Formulation: ML. Built subsea pipeline height & length prediction models of >70% accuracy.
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HIP: Computer Vision. Working person and safety compliance detection with vLLM.
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Worked with CI/CD integration and cloud deployment in production on Azure for all projects.
- Tech Stack: Python, MLFlow, Docker, SQL, Azure, SonarCloud, DevOps, Git
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Console Application: Full Stack. Interface implementation and API gateway token authorisation.
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Model Hub: Cloud. RESTful endpoint protection for user/admin API key authentication.
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Deployment: Compiler Engineering. Introduced the RocM backend for AMD hardware support.
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Ivy ML Models: Applied Lead. Expanded the collection from scratch to 15+ within 4 months.
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Ivy Transpiler: MLE. Introduced features of native compilation and cross-framework NumPy code compilation.
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Ivy Framework: Software Engineering. Introduced exception handling, global properties, sparse arrays, and frontend APIs.
- Tech Stack: Python, C++, Nvidia CUDA, AMD RocM, Tailwind CSS, Node.js, React.js, Next.js, TypeScript, Fast API, Flask, Prisma, Alembic, SQL, Docker, GCP, AWS, Git, Transformers, Linux
Projects
September 2023 - April 2024
- Diffusion based Music-conditioned Image Generative AI
- Transformer based Image-conditioned Music Generative AI
- Tech Stack: Python, Pillow, NumPy, SciPy, PyTorch, Transformers, Diffusers, Matplotlib, Git
- Applied PageRank and HITS for analysing key driver in the evolution network.
- Analysed the community structure of the network with modularity.
- Tech Stack: Python, NetworkX, NumPy, Matplotlib, Git
- Explored the effect of different RL algorithms in competitive vs. cooperative MARL settings.
- Algorithms: Advantaged Actor-Critic (A2C), Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimisation (PPO)
- Tech Stack: Python, OpenAI Gym, Stable Baselines 3, Pandas, Git
Tech Stack
os
framework
cloud/web
others
Languages
Fluent
English, Chinese, Malay
Limited
Korean, Japanese