Schedule a call with a Leland team member who can help you explore your options.
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Work with an experienced ML engineer to build the skills needed to take AI from prototype to production, reliably and at scale. Possible uses of coaching sessions, but not limited to: - ML model deployment and serving infrastructure - Experiment tracking and model versioning tools - Automated deployment pipelines for machine learning - Model monitoring, drift detection, and alerting - Feature store design and data pipeline automation - Cost optimization and inference efficiency at scale - AI code review on your production ML systems
A clear understanding of the MLOps lifecycle from experiment tracking to production monitoring
Hands-on knowledge of key tools and platforms used by ML engineering teams
The ability to design monitoring systems that catch model and data issues early
Skills to build and maintain production ML systems independently
Coaching delivered via live sessions and .
Services included:
Technical Skills
AI Research
Model Development
ML Ops & Deployment
AI Code Review
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
Get help with AI Research, AI Fundamentals, and .

Joined March 2026
Break Into AI/ML Engineering With a Google Senior Engineer's Guidance
Welcome to my profile! With a Ph.D. from Rutgers University and extensive experience as a Senior Software Engineer at Google, I specialize in AI and machine learning engineering. My career has been dedicated to building robust data frameworks and models, from enhancing safety features at Uber to curating geo data at Foursquare. At Google, I focus on data understanding and discovery, leveraging graph technologies to drive insights at scale. Whether you're looking to break into AI/ML engineering or advance your career, I'm here to guide you through the complexities of this dynamic field. Let's connect and chart a path to your success!
5h - 8h of coaching