Technical Decision Review is a fixed-scope advisory engagement for leaders who need an independent view of architecture, delivery risk, security/compliance readiness, or engineering capacity before making a major commitment.
A fixed-scope, two- to three-week engagement providing an independent assessment of technical risk, key tradeoffs, and recommended next steps.
System structure, C#/.NET and Node.js services, SQL databases, AWS and Azure architecture, APIs, distributed systems, Docker/Kubernetes, SaaS architecture, high availability, disaster recovery, modernization risk, and maintainability signals.
Relevant when A platform is becoming difficult to change, reliability is slipping, or leadership needs an independent view before legacy or cloud modernization.
Planning, release discipline, CI/CD, quality controls, delivery governance, operating cadence, team capacity, accountability, and execution risk.
Relevant when Delivery is unpredictable, releases are risky, or leadership needs to understand whether process, controls, or capacity are driving the problem.
Compliance posture, operational controls, security practices, DevSecOps readiness, technology governance gaps, technology risk, and remediation sequencing.
Relevant when A company is preparing for SOC 2, responding to customer security requirements, or checking documented controls against actual engineering practice.
Evaluate cloud AI/LLM pipelines, Python and Node.js integration decisions, APIs, model evaluation, prompt architecture, serverless reliability, observability, governance, structured and unstructured data handling, vendor lock-in risk, and production readiness.
Relevant when An AI initiative is being evaluated for investment or acquisition, an existing pipeline has reliability concerns, or leadership needs an independent read on an AI vendor claim.
A concise written assessment of the technical evidence reviewed.
Prioritized concerns, with severity and decision relevance made explicit.
What the findings mean for the investment, platform, roadmap, or operating decision.
Concrete next steps for remediation, sequencing, or further diligence.
Optional readout for leadership, investors, boards, or transaction stakeholders.
Operating experience across regulated platforms, due diligence scenarios, and compliance-driven technical reviews.
Served as long-term technical advisor and architect for a mission-critical custom transaction platform processing $1B+ in annual transaction volume across AML and fraud-sensitive workflows. Ongoing architecture, risk, and delivery oversight since 2012.
Led SOC 2 Type II audit readiness and ongoing governance in regulated environments. Covered operational controls, security practices, engineering standards, and remediation sequencing.
Two decades of production engineering across fintech, insurtech, healthcare, and payroll in environments where architecture decisions, delivery practices, and compliance posture are subject to investor, regulatory, and legal scrutiny.
Architected and oversaw production LLM pipelines processing 1M+ insurance documents annually, achieving 97%+ document-level accuracy across structured and unstructured workflows. Covered model selection, prompt architecture, pipeline reliability, data handling, and production readiness.