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David Sigal
Executive-level Software Engineering Leader specializing in Healthcare AI
Los Angeles, CAFounder15 years experienceExecutiveHealthcareHealthcare ITTelehealth
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About
Backend engineer who has built end-to-end data and platform systems across domains: a Scala/Java media data warehouse with a custom query language and Elasticsearch search, plus production security patterns (RBAC, RLS, audit trails) including a telehealth platform. Also demonstrated strong operational rigor by using feature-flagged side-by-side migrations and by catching ecommerce checkout edge cases that were dropping revenue.
Experience
FounderPhoenix AI
Team LeadRocket Doctor
OwnerSigal Consulting
Senior Software EngineerDrop
Senior Software EngineerZignal Labs
Software EngineerEnder Technology
Education
University of California at Santa Barbarabachelor, Computer Science (2010)
Key Strengths
- Designed and built a media data warehouse with ingestion, storage, query compiler, and search index
- Cost-focused architecture decisions (AWS selection; open-source Elasticsearch vs commercial)
- Storage tiering strategy based on data age to balance latency/availability vs cost
- Security-first API approach (schemas, best-practice auth, encryption, audit trails/logging)
- Risk-managed migrations using side-by-side deployments, feature flags, and data integrity verification
- Implemented RBAC for a telehealth platform with auditability and domain-aware permissions
- Identified ecommerce checkout failure modes causing revenue loss and added upstream data validation (e.g., shipping data)
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