Michael Sipes

B.S./M.S. in Computer Science, University of Southern California.

Interested in computer systems, algorithms, databases, and machine learning.

My projects are original work - guided by curiosity and built with a mix of hand-written code and natural language programming with AI.

Education

University of Southern California

M.S. in Computer Science2025 - 2026

B.S. in Computer Science2021 - 2025

Relevant Coursework: Machine Learning, Natural Language Processing, Analysis of Algorithms, Data Structures, Computer Systems, Operating Systems, Internetworking, Web Technologies, Software Engineering, Database Systems

Experience

RingCentral

AI Software Engineering Intern

June 2024 - August 2024

Built a retrieval-augmented generation system to detect and consolidate duplicate content across a knowledge base of 2,000+ articles.
Conducted interviews with article writers, understood their workflow challenges, and defined technical requirements for the solution.
Implemented the solution by generating semantic embeddings with OpenAI and storing them in Supabase (pgvector extension) to enable similarity search.

Active Owners Fund

Financial Analyst Intern

May 2023 - August 2023

Performed credit analysis through sophisticated financial modeling to support debt fund analysts.
Developed machine learning models using cross-validation, linear and logistic regression, regularization, clustering, random forests, gradient descent, and neural networks.
Learned PyTorch for deep learning, covering neural network classification, computer vision, custom datasets, transfer learning, and model deployment.