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Dylan's Notepad

CS + Mathematics @ NUS | ML & Data @ Infineon | Graduating in May 2027

Welcome to my humble abode. Feel free to explore!

National University of Singapore (NUS)
  • Double Degrees in Computer Science (GPA: 4.35) and Mathematics (GPA: 4.13)
  • NUS Merit Scholarship
Technical University of Munich (TUM)
  • Exchange Semester at School of Computation, Information and Technology
  • Courses attended: Fundamentals of AI, Machine Learning, Efficient Algorithms and Data Structures II, Natural Language Processing
Raffles Institution
  • GCE A Levels - 6 As
  • Physics, Chemistry, Mathematics, Economics, General Paper, Project Work
Infineon Technologies
Machine Learning and Data Analytics Intern
  • Implementing ETL pipeline and dashboard for visualising operational data, facilitating real-time analysis.
  • Prompt engineering and behavioural control of LLMs for a domain-knowledge chatbot, reducing technicians' workload.
  • Development of end-to-end user-defined model training and validation pipeline for prediction.
Rakuten Viki
Data Analytics Intern
  • Designed and created dashboards for business insights and key metric tracking.
  • Assisted in QA testing for database migration - manual testing on staging servers and real-time aggregate checks on production.
Speedoc
Data Analytics Intern
  • Formulated ETL pipeline for primary data ingestion used in key visualisations.
  • Designed and executed data integration from multiple sources to improve operational processes.
  • Handled cross-departmental data reporting - invoice activity monitoring and doctor/nurse utilisation tracking.
Fine-Tuning Models for Entity-Aware Machine Translation
  • Fine-tuned pre-trained models for English↔German and English↔Turkish translation, focusing on accurate named entity translation.
  • Utilised HuggingFace's transformers library for dataset loading, model training, and evaluation.
  • Tech Stack: Python, transformers (HuggingFace), WandB, Colab
Facial Identification and Emotion Classification
  • Utilised OpenCV to identify faces through a live video stream.
  • Implemented and trained a CNN using TensorFlow to classify emotions on identified faces in real-time.
  • Tech Stack: Python, OpenCV, TensorFlow

I'm Dylan - a CS + Mathematics student at NUS, expected to graduate in May 2027.

Languages:   Python, SQL, Java, LookML, C, C#, MIPS
Tools:       Git, VS Code, Colab, Looker, Tableau, MongoDB, MySQL, OpenShift
Libraries:   Pandas, NumPy, HuggingFace Transformers, TensorFlow, OpenCV, Plotly, Streamlit
dylanwong.com