Software Engineer with an M.S. in Computer Science and experience building AI/ML systems, backend APIs, cloud data pipelines, and user-facing applications. Skilled in Python, C++, TypeScript/JavaScript, GCP/AWS, hybrid retrieval, and end-to-end ownership from data ingestion through deployment.
Built and deployed Notipala, an AI memory and research assistant combining hybrid retrieval, knowledge graphs, and tool execution. Designed its AI/backend architecture, memory pipelines, authentication, and cloud deployment using FastAPI, React, GCP, and Cloudflare.
notipala.com
Master of Computer Science focused on algorithms, machine learning, deep learning, software engineering, and database systems.
Built reproducible ML and GCP-based ETL workflows for manufacturing optimization, model evaluation, and faster experiment iteration.
Built monitoring, anomaly detection, defect classification, and root-cause analysis workflows for semiconductor process improvement.
Published research on process modeling with small data integration using deep convolutional autoencoder-based embedding methods.
Completed military service before returning to graduate study and technical work.
Built the analytical and engineering foundation that still shapes how I approach data, experiments, and technical problem solving.