Selected Work

Selected work across enterprise delivery, modernization, and grounded AI systems.

Some engagements are anonymized for confidentiality, but the decision patterns are real: executives need clarity, teams need sharper architecture judgment, and AI systems need more than a convincing demo.

Insurance Organization

Enterprise conversational AI deployment

Large organization, senior stakeholder alignment, and a real path from discovery to operational rollout.

The work covered more than solution design. It included shaping the engagement with senior stakeholders, translating requirements into a durable delivery plan, and helping move the system into a production setting.

Context

1,000-person organization pursuing enterprise conversational AI.

Role

Worked across discovery, technical framing, rollout planning, and production execution support.

Focus

Architecture fit, stakeholder translation, delivery discipline, and operationalization.

Value

Helped leadership move from concept interest to an executable production path.

Retail Modernization

Executive briefings and AI vendor assessment for a 100+ store environment

Modernization work where architecture, vendor fit, and operating impact all mattered at once.

Supported executive-facing communication during modernization efforts and helped evaluate third-party AI vendor fit, including questions around operating impact, technical reality, and downstream delivery risk.

Context

Regional grocery platform with meaningful operational complexity.

Role

Prepared leadership briefings and supported third-party vendor review.

Focus

Architecture fit, vendor claims, modernization constraints, and risk exposure.

Value

Gave decision-makers clearer signal around technical fit and likely operating consequences.

Grounded AI Systems

Evidence-bound retrieval and agentic platform work

Examples where the work moved from architecture review into hands-on delivery of grounded AI systems.

Built and designed systems using Azure OpenAI, FastAPI, LangGraph, PostgreSQL/pgvector, citation validation, report generation, and permissioned tool patterns. The emphasis was always on production-minded behavior, not novelty for its own sake.

Context

Knowledge workflows, document QA, and multi-agent orchestration patterns.

Role

System design, API architecture, retrieval pipeline design, and implementation leadership.

Focus

Grounding quality, tool governance, report generation, and reliable orchestration.

Value

Created systems that privileged evidence, control, and operational clarity.

Open the evidence-bound document QA brief

Open the Kairosys agentic platform brief

Open the learning platform delivery brief

Get in touch

If your situation looks similar, feel free to reach out.

Bring the decision, the constraints, and the biggest source of uncertainty. I can usually tell quickly whether the right move is technical diligence, a readiness review, an architecture review, or a more hands-on engagement.

Contact View Engagements

Need background? Review experience, principles, and the kind of work I tend to take on. Need point of view? Browse articles on diligence, production readiness, and control design.