a*************l

• 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.

• As a team member, I played a pivotal role in the development of an image classification task tailored for educational purposes in the biology field, specifically focusing on categorizing various species of plants and flowers, thus contributing to the creation of a valuable resource for botanical education and fostering a deeper understanding of biodiversity and ecological principles through innovative technology. • Designed and trained state-of-the-art Machine Learning (ML) models for Natural Language Processing (NLP) tasks, such as sentiment analysis, named entity recognition, and machine translation, achieving high accuracy and performance through meticulous model architecture design and training. • Participated in optimizing model architectures and hyperparameters, also effective algorithm to achieve superior performance metrics in machine learning tasks with Python and PyTorch as well as Tensorflow. • Experienced in leveraging Machine Learning (ML) methodologies to construct phonetic representations, involving tasks such as feature extraction, modeling, and analysis to effectively capture and represent speech patterns and phonetic nuances.