Proven Delivery Across Industries
Cross-industry experience where velocity, compliance, and scale all have to coexist.
Technology leadership looks different in a regulated MedTech environment than it does in a PE-backed SaaS company. I have led engineering organizations across both, and I bring that depth to every engagement - understanding the constraints, the stakeholders, and the outcomes that actually matter in each context.
Private Equity and PE-Backed Companies
Post-acquisition through exit readiness
PE environments demand a technology leader who understands value creation, operates under board scrutiny, and connects every engineering initiative to the EBITDA line. I have partnered directly with operating partners to assess, restructure, and scale portfolio company technology.
- Post-acquisition technology risk assessments delivered in 30-60 days
- Value creation roadmaps tied directly to business outcomes
- Technical due diligence for both buy-side and sell-side transactions
- AI readiness positioned as a platform valuation factor at exit
- Board-level communication in the language of operating partners
B2B SaaS
From growth-stage to enterprise scale
Multi-tenant SaaS platforms at scale have specific architectural and operational demands that most generalist CTOs underestimate. I have led platforms serving enterprise customers at 99.995% uptime, managed 100,000+ concurrent users, and led the monolith-to-microservices transitions that unlock growth.
- Multi-tenant architecture scaling to enterprise customer requirements
- 99.995% uptime with SRE practices and intelligent monitoring
- Monolith-to-microservices transformation at growth stage
- AI-native features improving customer retention and expansion revenue
- Engineering velocity improvements measured through DORA metrics
FinTech and Financial Services
PCI compliance, high availability, fraud detection
Financial technology is where compliance, security, and availability converge under the highest possible scrutiny. I have led engineering organizations processing over $500M in annual payment volume, built PCI DSS-compliant platforms, and implemented fraud detection and anomaly monitoring systems that protect both the business and its customers.
- PCI DSS compliance architecture and security posture management
- $500M+ annual payment volume processed on platforms I have led
- High-availability transaction processing with sub-second SLOs
- Fraud detection and real-time anomaly monitoring integration
- Secure API design for banking and financial service integrations
MedTech and Healthcare
HIPAA compliance, regulated AI, clinical integration
Healthcare technology requires a different kind of engineering discipline - one where compliance is not a checkbox and AI deployment demands human-in-the-loop safeguards. I have led platforms serving over 2 million patients and deployed regulated AI in telehealth environments where the stakes are clinical, not just operational.
- HIPAA-compliant architecture serving 2M+ patients
- Regulated AI deployment: virtual triage, symptom analysis, ambient listening in telehealth
- Human-in-the-loop AI safeguards appropriate for clinical contexts
- Clinical system integration: EHR, HL7, FHIR interoperability
- PHI security posture and audit trail compliance
EduTech and Education
Scale, accessibility, student data privacy
Education platforms face extreme traffic spikes during enrollment and exam periods, strict student data privacy requirements, and accessibility standards that cannot be treated as optional. I have led engineering for platforms serving 100,000+ concurrent users and built the CDN and caching strategies that make global content delivery reliable at scale.
- 100,000+ concurrent users at peak load - architecture built for burst capacity
- CDN strategy and caching for global, low-latency content delivery
- FERPA and COPPA student data privacy compliance
- WCAG 2.1 accessibility compliance as a first-class engineering concern
- AI-assisted personalized learning features with appropriate governance
Enterprise and Global Engineering Teams
Distributed teams, IDPs, organizational scale
Large engineering organizations require a different kind of leadership - one focused on reducing coordination costs, building the platform infrastructure that enables autonomy, and measuring team health with data rather than gut feel. I have led 175+ engineers across time zones and built the internal developer platforms that make global delivery sustainable.
- 175+ engineers led across onshore, nearshore, and offshore teams
- Internal developer platforms removing cross-timezone friction and toil
- DORA metrics for distributed team health and velocity measurement
- AI-native workflows adapted for globally distributed delivery models
- Engineering culture and mentorship programs that scale with org growth
What Stays Consistent Across Every Industry
The industries are different. The constraints are different. The regulatory frameworks are different. What does not change is the approach: measure outcomes, build for reliability, and connect every technical decision to the business result it enables.
Compliance as Architecture
PCI, HIPAA, FERPA, SOC 2. I design compliance into the platform from day one rather than retrofitting it under audit pressure.
AI That Fits the Context
AI in healthcare requires different safeguards than AI in SaaS. I build governance frameworks appropriate to the risk profile of each industry and each use case.
Outcomes Over Activity
Sprint velocity is not a business metric. I track deployment frequency, reliability, cost trajectory, and business impact - the numbers that mean something to the board.
Bring Industry-Proven Leadership to Your Team
Whether you are in a regulated industry, a PE-backed environment, or a high-growth SaaS company, I bring the cross-industry depth and the execution track record to make your technology a competitive advantage.