Noah Shen Email & Phone Number

San Diego, CA, US

• Fine-tuned Language Model Systems (LLMS) to translate natural language prompts into SQL statements, enabling streamlined querying from users to Google's BigQuery.
• Performed statistical analysis on millions of Electronic Medical Records data and implemented Natural Language Processing (NLP) techniques to improve Text2SQL datasets.
• Enhanced medical company product analysis by designing and implementing SQL indexes, Python data processing, and data visualization, enabling insights into efficacy and cost savings of procedures and drugs for patients.

Evanston, Illinois, United States

• Supervised by Professor Jessica Hullman
• Implemented computer vision techniques using OpenCV to assess the efficacy of data visualization formats in aligning with human perception.
• Developed machine learning pipelines in Python and R to systematically generate data and build supervised learning models utilizing PyTorch and Tensorflow for enhanced efficiency.

• Streamlined value extraction from hyperscaler data by developing predictive machine learning models and advanced algorithms in Kubernetes and Docker.
• Discovered and identified solutions for classifying unknown workloads in data center environments for cloud service providers (AWS, Azure, Google Cloud) using change point detection and Euclidean techniques (see.
• Initiated research of a machine learning parameter tuning algorithm for Meta’s caching engine, Cachelib.

Irvine, California, United States

• Advised by Professors Hal Stern and Naomi Kaplan Damary
• Assist in creating valuable methods capable of understanding how lay jurors interpret the presentation of forensic evidence.
• Develop statistical algorithms and methodologies in Python to predict the reliability of juror choices and the strength of witness statements.
• Create simulations to interpret differing scenarios and their effects on the original data set.

Irvine, California, United States

• Reinvented faculty and student tools by creating test plans, performance of tests, and documentation of outcomes.
• Established the transition to automated test cases via Selenium WebDriver in Python to help reduce manual testing.

Irvine, California, United States

• Lead student discussions and helped students individually to understand course concepts.
• Worked closely with professors and graduate students to facilitate and enhance student learning.

Irvine, California, United States

• Developed and refined features of the Circle K website.
• Updated existing HTML/CSS code to display properly on a new interface.

San Diego, California, United States

• Researched various soccer clubs and colleges, creating new methods of storing contact information and statistics for future use.
• Helped develop a website to organize clients accordingly.

Master Of Science - Ms, Computer Science

Coursework focus in Machine Learning and Data Visualization

Bachelor Of Science - Bs, Computer Science

Specialization in systems and software. Coursework focuses on algorithms and machine learning.

Bachelor Of Science - Bs, Mathematics

Specialization in Data Science with experience in applied and physical mathematics.