<aside> 👋 Hello! Welcome to my profile 🤓 I'm a Software Engineer at BlackRock Investment & Portfolio Solutions, leading full-stack projects to advance investment and portfolio analyses. My focus area for the past few years has been in Software Engineering, Machine Learning and Data Science, but I'm also skilled in Manufacturing and Fluids Engineering 🚀

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Right to work in the United Kingdom and Hong Kong without sponsorship

Contact

📧 [email protected]

🔗 linkedin.com/in/james-wk-lee/

👾 github.com/jameslee98331

Education 🎓

Imperial College London

2023 | **MSc in Machine Learning and Data Science - Distinction

• 2 years of part-time study alongside full-time work to develop in-depth theoretical knowledge and practical skills in Supervised, Unsupervised, Deep and Reinforcement Learning, and Bayesian statistics and Big Data Analysis using Hadoop and PySpark.
• Projects
  • “Understanding the Asymptotic Inconsistency of Mixture Models under Misspecification” supervised by Professor Nick Heard, investigating the technical challenges of Bayesian clustering, with an application focus on single-cell RNA sequencing data
  • “COVID-19 Tweets sentiment analysis” by fine-tuning LLMs from Hugging Face 🤗
  • Other Deep Learning projects include
    • Variational auto-encoders for image generation
    • Transformers and RNNs for text topic classification
    • CNNs for image classification in PyTorch

University of Cambridge

2023 | MA (Cantab)

2020 | MEng and BA in Manufacturing Engineering - Distinction

• 2 years of specialised training in manufacturing engineering, with a focus on manufacturing automation using robotics and machine learning.
• 2 years of general engineering education in mechanical, structural, materials, thermal and fluids, electronic and electrical, computer, and information engineering.

Professional Experience 💼