Leung Kin Lam
Hku Data Science Bsc | ML | NLP
Research techniques in deep learning and built question answering model with near state of the art result. Experienced in building various NLP and Computer Vision tasks. Skilled in deep learning, machine learning, statistics, problem solving, and programming. Extremely willing to learning , passionate in latest tech and quick learner.
この先やってみたいこと
未来
Research and Apply Artificial Intelligence to build smart intelligence system for society.
The University of Hong Kong
Decision Analytics
- Machine Comprehension on SQuAD Dataset
- Built an end-to-end bidirectional attention with self-attention deep neural network model to perform machine comprehension on SQuAD - Applied Natural Language Processing (NLP) techniques such as LSTM, bi-directional attention flow, self-attention, character CNN, Pointer Network, ; Model trained using TensorFlow framework. - Achieved near state-of-the-art result (75.9 F1 score) on dev set compared using single model.
- Sentiment Analysis on Stanford Treebank Dataset
- Building end-to-end neural network using improved LSTM (DC-BiLSTM), biattentive classification network and enhanced word embeddings (Contexualized word vectors).
Emos Technologies3ヶ月
Data Scientist Intern
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Built Chinese sentiment and emotion analysis models by collecting, preprocessing and analysing Weibo post data, applying state-of-the-art NLP research result in model building. Achieved 40% increase in performance.
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2 Easy Limited8ヶ月
Artificial Intelligence Developer（インターン）
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- Built automated, algorithmic agency portfolios web scraping system in Python - Facilitated client and agency matching process by building text-based image search system - Built Recommendation engine for finding similar vendors based on their skills and descriptions.