Ethan Zhou
@ethanzhou
Senior software engineer specializing in scalable systems and AI-enabled products.
What I'm looking for
I am a senior software engineer with deep experience building scalable, production-grade systems and AI-enabled products. I designed and led full-stack development of a Copilot product using React, TypeScript, and Java microservices, engineered RAG pipelines with GPT-4 and Qdrant, and integrated OpenAI and Gemini models into marketing tools to accelerate personalized content generation.
Previously, I built real-time market data systems in C++ and Redis that handled millions of updates per second with sub-5 ms latency, migrated serialization to FlatBuffers to cut message size and parsing time significantly, and implemented Kafka-based publish/subscribe middleware to support massive fan-out. I also containerized and automated microservice deployments with Docker and Kubernetes and created monitoring dashboards that improved incident response and uptime.
I consistently focus on performance, reliability, and developer productivity: I drove CI/CD standardization, mentored engineers, rolled out platform improvements across teams, and co-launched marketplaces and libraries that reduced feature delivery time and increased adoption. I seek opportunities to deliver high-impact systems and AI-driven products at scale.
Experience
Work history, roles, and key accomplishments
Led full-stack development of HubSpot Breeze Copilot using React, TypeScript, and Java microservices, streamlining CRM workflows for 250K+ users and reducing hallucination rates by 40% via RAG pipelines with GPT-4 and Qdrant.
Built real-time market data systems in C++ and Redis handling millions of updates/sec with <5ms latency and zero data loss; migrated serialization to FlatBuffers reducing message size 70% and improving parsing 10×.
Education
Degrees, certifications, and relevant coursework
Bowdoin College
Bachelor of Arts, Computer Science
2014 - 2018
Completed a Bachelor of Arts in Computer Science with coursework and projects focused on systems programming, distributed systems, and performance optimization.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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