I specialize in Applied AI & ML with a deep focus on Computer Vision, Earth Observation (EO), and Maps. Having navigated the shift from an M.S. at Georgia Tech to senior roles at TomTom, HERE Technologies, and Worldline, I’ve learned that the biggest challenge in ML isn't the research—it's making models work reliably in production. I help engineers and organizations move past the "tutorial phase" and solve real-world architectural bottlenecks. How I can help: Career Strategy: Navigating the path from student to Senior/Staff ML Scientist. Technical Sounding Board: Reviewing architectures for Computer Vision, Geospatial AI, and EO pipelines. Production-Ready ML: Moving from notebook-based experiments to scalable, deployable solutions. Mock Interviews: High-signal feedback based on Tier-1 tech standards.