I am passionate about Artificial Intelligence and Machine Learning, focusing on creating comprehensive end-to-end machine learning solutions. My expertise includes Data Analytics, Data Engineering, Large Language Models (LLMs), Generative AI (GenAI), prompt engineering, and deep learning. If you want to know more about my work experience, please visit my linkedin profile. LinkedIn
- MS in Data Science, University of San Francisco (2023-2024)
- BS in Statistics, University of California, Los Angeles (2014-2019)
- Co-Founder, RehearsAI
- Data Scientist Intern, UCSF Medical Center (Current)
- Machine Learning Engineer Intern, CXApp (2023-2024)
- Data Engineer, Rock15 Inc. (2019-2022)
- AI Scientist Intern, Rock15 Inc. (2018-2019)
- Building an AI mockup interview system as part of my startup project, focusing on creating a robust and intelligent product using the latest advancements in APIs for Speech-to-Text (STT) and Text-to-Speech (TTS), Generative AI, and LLM fine-tuning. RehearsAI
- Enhancing hospital Length of Stay (LOS) predictions at UCSF Medical Center using BERT models to analyze doctor's notes.
- House Price Kaggle Competition - Top 5
- Time Series Analysis Competition - Top 3
- Deep Learning - Animal Multi-Classification With MongoDB, GCP, and Apache Airflow
- Article Recommendation with Flask App
- Customer Churn Analysis