With 10 years of experience, I worked across the entire spectrum of ML/AI development. My journey in AI started with marketing and data science, where I used machine learning to drive insights and shape business decisions. That passion for data led me to ML engineering, where I built models and pipelines, and then to ML platform engineering, where I focused on scaling AI systems. Now, as an MLOps/LLMOps Lead at MasterControl, I’m driving efforts to operationalize machine learning in a way that truly matters.

At MasterControl, we work on life-changing products, technology that impacts healthcare, quality management, and industries where precision and reliability are critical. The AI systems we build don’t just optimize metrics; they contribute to products that make people’s lives better. Leading MLOps here means ensuring that machine learning isn’t just cutting-edge but also trusted, scalable, and impactful in the real world.

With a background that spans data science, ML engineering, and infrastructure, I’m passionate about building scalable, efficient, and production-ready AI systems. My focus is on bridging the gap between research and deployment, ensuring that machine learning models don’t just work in a lab but deliver real-world impact.