AI Adoption Strategy
I evaluate use cases, help you select appropriate models, and establish internal policies for responsible AI adoption.
- Use-case assessment
- Model selection guidance
- Governance frameworks
- ROI planning
LLM Training & Advisory
I help engineering teams and organizations adopt large language models with clarity, rigor, and measurable outcomes — from strategy and governance to hands-on enablement.

I'm a software engineer with seven years of experience designing scalable backend systems, microservices, and data-intensive platforms.
My work focuses on helping you integrate LLMs into your workflows responsibly — combining my engineering background with practical AI adoption strategies.
I offer everything from executive briefings and team workshops to ongoing advisory on tooling, architecture, and governance.
I design structured programs for engineering leaders and development teams.
I evaluate use cases, help you select appropriate models, and establish internal policies for responsible AI adoption.
I deliver hands-on workshops on AI-assisted development tools including Cursor, Copilot, and agent-based workflows.
I design robust prompt patterns, evaluation frameworks, and guardrails for your production LLM applications.
Schedule an initial consultation to discuss your objectives and define a tailored engagement.
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