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Leo Zhang • Peerlist

•Trained a transformer encoder from scratch jointly in Python with a feedforward classifier to predict speech authorship achieving over 85% accuracy.
•Pre-trained a GPT-like decoder from scratch for unsupervised learning in word prediction using Python, achieved perplexity metrics below 400 with a training dataset of less than 200 KB.

Transformer Based Speech Text Processing – Report – Code

Algorithm Development

Natural Language Processing (NLP)

Effective Communication in English

Analytical Skills

Deep Learning

Econometrics

Machine Learning systems

Research Skills

Project Management

Finance