I'm a Software Engineer who loves getting my hands dirty—whether it’s building resilient multi-region systems, sweating the details in a complex UI, debugging hardware at the signal level, or doing the glue work that keeps teams aligned and shipping.
I work on Dovetail's AI-powered customer insights platform, shipping features across infrastructure, AI capabilities, and enterprise functionality.
Recent highlights:
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Built our MCP (Model Context Protocol) server from scratch, working directly with customers like Canva, Moody's, and Reuters to enable LLMs to access research insights and data. Now serving several thousand requests per week. Featured in our Dark Mode launch webinar and keynote.
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Led our Data Portability system—a year-long project that eliminated manual data migrations entirely. Engineers were previously spending 2+ days per week on manual migrations. This enabled self-service cross-region moves for compliance and directly unblocked $100K+ enterprise contracts.
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Helped establish AI development practices across engineering, including the gold master pattern for feature generation and multi-agent workflows that saved hours per feature and became team-wide practice.
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Key player in our Auth0 migration, owning login flows, backend integration, and authentication capabilities for enterprise customers. Also helped create authentication for our outset.ai integration.
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Relocated to SF to establish our enterprise engineering team (0→2), focusing on authentication, custom deployments, and technical escalation.
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Built our Channels feature with RAG-based chat over user data, established observability standards, and optimized our video processing pipeline—cutting AWS costs by $21k/month.
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Shipped Translation (AWS Translate)—featured in our Insight Out keynote—Multi-Region architecture (US/EU/AU), and various features across the stack from infrastructure to UI during my tensure here at Dovetail.
