Austin Light

Bachelor's

Computer Science

Innowise Group

Full Stack AI Engineer

- Remote - Participated in developing Large Language Model based on GPT, BERT and FLAN-T5 with parameter efficient fine-tuning (PEFT) to ensure task specific requirements - Led the successful implementation of LoRA fine-tuning for a healthcare question answering chatbot, achieving superior performance in clinical information retrieval - Developed Machine Learning (ML) model particularly Long-Short Term Memory (LSTM) with Python and Matlab to predict financial time series, outperformed 1.2% than up-to-date forecasting models with low latency - Tutored junior engineers to build Deep Neural Network (DNN) models and encouraged them to do without any library and framework - Participated in developing web applications by integrating machine learning architectures into both front-end and back-end systems, enriching user experiences and enabling data-driven functionalities at all levels of the application stack