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Engineering Executive | Scaling Global SaaS Platforms | Cloud Infrastructure & Payments | AI/ML Strategy
As Vice President of Engineering, I lead technology strategy, innovation, and execution for a leading SaaS company in the hospitality industry. With over two decades of experience in cloud computing, software development, and enterprise architecture, I’ve built and led high-performing teams while ensuring consistent, on-time delivery of technology initiatives. Working across industries such as retail, finance, healthcare, insurance, manufacturing, and education, I have driven technology transformations that enhance performance, reliability, and cost efficiency. I have scaled engineering teams from a handful of engineers to more than three hundred and successfully navigated economic downturns with strategic efficiency. Taking a pragmatic, results-driven approach, I align technical priorities with business goals to ensure solutions deliver maximum value within a reasonable timeframe. Beyond engineering leadership, I have played a key role in M&A due diligence, leading technical assessments of acquisition targets. I’m also deeply invested in AI/ML, combining formal coursework with independent study in neural networks, LLMs, reinforcement learning, NLP, and computer vision. My focus is on opportunities where technology leadership drives real business outcomes — scaling platforms, building high-performing global organizations, and applying AI to create meaningful product and competitive differentiation.
Indiana University Bloomington
BA, Computer Science, Germanic Studies
January 1, 2002 – January 1, 2006
innRoad
VP of Engineering
January 1, 2022 – Present
innRoad
Senior Director of Engineering
January 1, 2020 – January 1, 2022
innRoad
Director of Engineering
November 1, 2017 – January 1, 2020
Avanade
Group Manager
September 1, 2006 – November 1, 2017
Greater Chicago Area
Mathematics for Machine Learning and Data Science Specialization
DeepLearning.AI
June 25, 2026 – Present
MCTS: .NET Framework 2.0, Windows Applications
Microsoft
June 25, 2026 – Present
Generative Adversarial Networks (GANs) Specialization
DeepLearning.AI
June 25, 2026 – Present
MCTS: BizTalk Server 2006, Custom Applications
Microsoft
June 25, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 25, 2026 – Present
Natural Language Processing Specialization
DeepLearning.AI
June 25, 2026 – Present
MCTS: .NET Framework 2.0, Distributed Applications
Microsoft
June 25, 2026 – Present
MCPD: Enterprise Application Developer
Microsoft
June 25, 2026 – Present
Machine Learning Specialization
DeepLearning.AI, Stanford University
June 25, 2026 – Present
MCTS: .NET Framework 2.0, Web Applications
Microsoft
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong commitment to engineering leadership and organizational growth, particularly within the SaaS and hospitality tech sectors. Their experience in building and leading globally distributed teams indicates adaptability and an understanding of diverse work environments. The certifications in Machine Learning and Deep Learning, while not directly tied to their recent roles, suggest a continuous learning mindset and an interest in emerging technologies, which could be a positive cultural fit for an innovative organization. However, the lack of diverse project experience outside of innRoad and Avanade might indicate a narrower exposure to different organizational cultures or technical stacks, which could be a minor area for consideration.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, strategic thinking, and operational management skills, including fostering collaboration, driving process improvements, and navigating market challenges. Their progression through various leadership roles at innRoad and their Group Manager role at Avanade suggest a strong operational fit for senior engineering leadership, emphasizing team growth, delivery consistency, and strategic alignment.