Schedule a call with a Leland team member who can help you explore your options.
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This coaching package is designed to give you applied AI/ML skills. By the end, you’ll have built an end-to-end ML project and gained experience with real data and frameworks. Possible uses of coaching packages, but not limited to: • Dataset exploration: prepare and analyze data • Tool mastery: hands-on practice with PyTorch or TensorFlow • Guided build: train and tune a model on a dataset • Deployment basics: run your model in a test environment • Documentation: record your process for iteration • Next steps: roadmap for production-level ML Outcome: By the end, you’ll have a complete ML project—including dataset, trained model, and results—plus the skills to advance into production-level ML.
An end-to-end ML project
Hands-on experience with PyTorch/TensorFlow
A tuned, working ML model
Documentation and next-step roadmap
Coaching delivered via live sessions.
Services included:
Model Selection and Evaluation
Model Deployment
Fine-Tuning & Custom Models
Skill Building
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
Get help with AI Fundamentals, Prompt Engineering, and .

Joined June 2026
Build production-ready AI and ML systems
I bring hands-on experience in AI, machine learning, data science, and production-grade GenAI engineering, with a focus on building practical solutions that solve real business problems. My experience includes designing and implementing AI-powered applications, RAG systems, LLM-based analytics tools, and agentic solutions that help teams automate workflows, retrieve knowledge, and generate insights from enterprise data. I have built agentic AI solutions using different frameworks and implemented them in production environments. I have worked across the full lifecycle, from problem definition and prototype development to model integration, evaluation, deployment, and scaling. My experience also includes implementing key production components such as memory, observability, traceability, human-in-the-loop workflows, evaluation, and guardrails. I can help customers understand not only the concepts behind AI and ML engineering, but also the practical architecture and implementation steps needed to move from prototype to reliable production-ready AI systems.
5h+ of coaching