PyOhio 2026
Dinky is an AI/ML Engineer with over 4+ years of industry experience building production-grade machine learning systems and intelligent enterprise applications. Her work focuses on the full cloud-to-production ML lifecycle, with hands-on expertise in MLOps infrastructure, generative AI agent development, large-scale data pipelines, and real-time IoT data systems across cloud platform. She holds a Master's in Computer Science from Cleveland State University and currently develops ML systems and AI agents at Pile Dynamics Inc., where she applies machine learning to geotechnical engineering challenges at production scale. She also serves as a Research Assistant at Women in AI, contributing to emerging work in applied AI and agentic systems. An upcoming speaker at the Grace Hopper Celebration, she is an active voice in the Greater Cleveland tech community through her involvement with Women in AI and ACM-W Professional Chapter. She is passionate about making the path from experimentation to production more accessible for practitioners at every level, and about helping technical women navigate career transitions with clarity, strategy, and confidence