Summary
Christopher Collier is a senior software engineer and AI-focused technical leader based in Boston with over two decades of development experience and 13 years in roles spanning research and production. Currently at Google DeepMind, he works on NLP, generative language models, and natural speech interfaces, building on prior systems experience at Fitbit, Amazon Alexa, and large-scale geospatial and API platforms. He combines hands-on engineering—designing high-throughput data stores, search and NLP pipelines, and experiment frameworks—with architectural leadership that guided distributed systems processing billions of events per day. Known for shipping pragmatic, well-constructed software, he pairs a background in architecture (BA) with an MS in Computer Science to bridge product design and scalable engineering. Avid about GenAI cloud solutions, he brings a rare mix of voice/speech modeling expertise and production-grade systems design.
13 years of coding experience
15 years of employment as a software developer
MS, Computer Science, MS, Computer Science at Tufts University
BA, Architecture, BA, Architecture at Connecticut College