Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
Work directly with an expert to develop the strategy and skills to bring AI capabilities to your engineering organization, whether you're a tech lead, engineering manager, or senior engineer. Possible uses of coaching sessions, but not limited to: - AI tooling evaluation and adoption strategy for engineering teams - Building team-wide AI standards, guidelines, and best practices - AI code review frameworks and quality processes for teams - Running AI upskilling sessions for your engineers - Designing AI-augmented engineering workflows - Measuring and demonstrating ROI of AI adoption for your team
A clear AI adoption strategy tailored to your engineering team's needs
Practical frameworks for evaluating and implementing AI tooling at the team level
The skills to lead AI upskilling and level up your engineering team's capability
A measurement approach to track and demonstrate the impact of AI on your team
Coaching delivered via live sessions and .
Services included:
Technical Skills
AI Research
AI System Design
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 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