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CTO of AI at MORSE Corp
AI-focused executive who scales AI systems from research to production. I partner with senior leadership to translate frontier AI into revenue, margin, and market share, building the strategy, teams, and operating cadence that turn innovation into repeatable outcomes. My background spans the full stack of AI delivery: from setting company-wide roadmaps and governance frameworks to hands-on engineering depth in LLMs, agentic systems, and MLOps. I'm most energized at the intersection of technical credibility and business impact, where rigorous evaluation, responsible deployment, and real-world feedback loops compound into durable competitive advantage.
New Mexico State University
Doctor of Philosophy (PhD), Astronomy and Astrophysics
January 1, 2014 – June 1, 2017
New Mexico State University
Master's degree, Astronomy
January 1, 2014 – January 1, 2017
Penn State University
Bachelor of Science (B.S.), Astronomy and Astrophysics
January 1, 2007 – January 1, 2011
MORSE Corp
CTO of AI
April 1, 2022 – Present
Columbia, md
Spectrum Labs
Lead Machine Learning Engineer
August 1, 2021 – April 1, 2022
Columbia, MD
MORSE Corp
AI Lead / Data Scientist / Machine Learning Engineer
August 1, 2017 – August 1, 2021
Greater Boston
New Mexico State University
Teaching Assistant
August 1, 2011 – May 1, 2014
Las Cruces, New Mexico, United States
Penn State University
Undergraduate Research Assistant
August 1, 2008 – May 1, 2011
State College-DuBois Area
Cultural Fit Analysis
The candidate's career trajectory from academic research to CTO of AI, with significant roles in machine learning engineering and data science, indicates a strong drive for innovation and impact. Their experience in both startup (Spectrum Labs) and established (MORSE Corp) environments, along with a focus on building and scaling teams, suggests adaptability and a proactive approach. However, the target role of 'Data Analyst' is a significant mismatch with their senior leadership and engineering background, which could lead to underutilization of their advanced skills and potential dissatisfaction with the scope of work. While their analytical skills are strong, the specific day-to-day responsibilities of a Data Analyst might not align with their strategic and architectural expertise.
Soft Skills & Operational Fit
The candidate's experience as CTO of AI and Lead Machine Learning Engineer demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills. Their background in academia also suggests strong problem-solving and research capabilities. The descriptions indicate a focus on operationalizing AI, building robust systems, and driving business impact.