Summary
Sal Aguiñaga is a senior data scientist and manager with 11+ years of experience building scalable AI solutions that blend graph technologies, applied ML/NLP, and deep learning across cyber, healthcare, and life sciences. He holds a Ph.D. in computer science and has led both research and product efforts—ranging from developing cognitive memory graph engines to advising on graph grammars and quantum-ready ML with Qiskit. At Deloitte he drives global cyber projects centered on graph AI, and his background in electrical engineering and hardware design gives him a rare systems-level intuition for signal processing and algorithmic performance. Colleagues rely on him for translating cutting-edge research (graph neural nets, knowledge graphs, graph rewrites) into operational products, and outside work he’s an avid runner and sailor who values time with his family.
11 years of coding experience
23 years of employment as a software developer
University of Notre Dame - College of Engineering
No degree. General, No degree. General at Northwestern University
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Notre Dame
Bachelor of Science (B.Sc.) Electrical Engineering, Bachelor of Science (B.Sc.) Electrical Engineering at Northern Illinois University
English, Spanish