I am a systems thinker with a polymath mindset. My career has been shaped by a curiosity to understand how complex systems work — whether they involve technology, people, data, or business operations.
My journey began in game analysis, progressed through design and development, and ultimately evolved into architecting business and revenue systems for enterprise organizations. Along the way, I developed a deep interest in artificial intelligence and machine learning. During my undergraduate studies, I pursued coursework in AI and Machine/Deep Learning, which led me to further research in graduate school. My work included parallelizing neural networks using CUDA, and building large-scale sentiment analysis pipelines.
Today, I operate at the intersection of business strategy and technology. My work spans digital strategy and transformation, program and product management, agentic system design, and the architecture of Go-to-Market ecosystems. I partner closely with sales, marketing, operations, and executive leadership teams to design and optimize the systems that drive growth, efficiency, and decision-making.
Across every domain I have worked in, I have found the same truth — great systems are built on clarity, feedback, adaptability, and disciplined simplicity.
Whether optimizing a game economy, training machine learning models, deploying intelligent agents, or transforming a global commercial organization, my focus remains the same: designing systems that scale, endure, and create measurable value.
Expertise Education Experience