Engineering leader focused on building reliable products, AI-enabled systems, and strong engineering organizations.
I have more than eight years of software engineering experience, including approximately three and a half years in formal engineering leadership. My work has spanned healthcare logistics, financial technology, mobile applications, backend services, APIs, Salesforce, machine learning, platform infrastructure, observability, security, and compliance.
I am particularly interested in turning ambiguous operational problems into clear technical systems and using AI to improve both software products and the way engineering teams build them.
I have served as an Engineering Manager at Cube, an FP&A software platform for finance teams, and as Director of Engineering at Rapid Medical Logistics.
- At Rapid Medical Logistics, I led 10 engineers and 2 designers across mobile, Salesforce, backend, API, and machine-learning-related systems supporting a nationwide healthcare logistics platform with more than 100,000 monthly transactions.
- Engineering quality and delivery improvements reduced critical defects by 70% and increased team velocity by 25%.
- I helped lead HIPAA and SOC 2 Type II readiness efforts that concluded with zero audit findings.
- At Cube, I managed a seven-person engineering team focused on data fidelity, production reliability, customer recovery paths, and AI-assisted engineering practices.
- Earlier at SS&C, I worked on MFD, a managed financial-data API built with FastAPI, RedisGraph, NetworkX, MongoDB, and Kubernetes, helping reduce API latency by 40%.
A notebook-first course that develops language models from first principles through concrete, executable Python examples.
- AI and language-model systems
- Backend and distributed-system architecture
- Healthcare and operational technology
- Developer productivity and AI-assisted engineering
- Observability, reliability, and incident prevention
- Technical quality, security, and compliance
- Translating ambiguous business problems into executable technical plans
- Developing engineers and technical leaders
- Improving architecture and engineering standards
- Building effective delivery and code-review practices
- Connecting technical decisions to customer and operational outcomes
- Creating responsible and measurable uses of AI in engineering
I am especially interested in hands-on engineering leadership involving AI-enabled products, backend and platform systems, and complex operational workflows in healthcare, fintech, and other reliability-sensitive or regulated environments.