I work across DevOps, cloud operations, security and business automation. Through Yellow Lotus Consulting Group, I help small businesses implement useful systems and understand how to run them. My experience includes a Cart.com client contract delivered through Yellow Lotus, not separate direct employment.

Start with the Deployment Starter for application delivery, recovery and three cloud reference paths, then the Datadog proof for offline observability checks.

I am interested in DevOps and CloudOps roles where reliable infrastructure, clear incident response and practical automation matter. These public examples show how I approach problems, document decisions and make work easier to inspect and hand off.

• Kubernetes reliability reconstruction: a local recreation of reliability problems, with deployment configuration, incident analysis and a runbook. It is not a copy of a client's production environment.
• CloudRiskIQ: a security decision-support demo that organizes sample findings, explains risk scores and exports evidence for human review. It does not certify compliance.

Start with the Deployment Starter and the staff workshop and pilot package. Both explain what is included and what still needs review before real business use.

I offer implementation help with automation, business workflows and practical AI tools. Optional training can accompany a deployment so staff can use the tools, check their outputs, protect business information and know when to ask for human review.

• Lead workflow demo: sample enquiries, prioritization and draft follow-ups, with an approval step before consequential action.
• AI training framework: safe-use materials, a facilitator guide, source-checking lab, assessment and supervised-pilot handoff. No measured client training results are claimed.
• Agent workflow demo: a small example of checkpoints, recovery states and human approval.

These are bounded demonstrations, practice projects or incident reconstructions. Read each project's implemented scope, tests and limitations before using it. Public code is not evidence of production deployment, client savings or a certification.

Client source code, credentials, private records and production infrastructure are not portfolio material. Public examples use synthetic or deliberately sanitized inputs. AI-assisted work is reviewed against code and evidence; tooling attribution is preserved.

• Deployment Starter: local inventory API, recovery procedures, staff training and AWS/GCP/Azure reference paths. Cloud paths are not live deployments.
• Datadog observability proof: synthetic dashboard and monitor configuration with local consistency tests.
• LogRhythm detection proof: synthetic authentication-event investigation and tested detection logic, not an exported vendor rule.
• CTERA operations proof: synthetic fleet and backup checks with documented adapter boundaries.

Visit Yellow Lotus Consulting for consulting enquiries and the public proof index for more examples.