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I'm a full-stack engineer with over 8 years of experience working at tech giants like Google and Amazon. I specialize in building scalable, secure cloud-native applications using languages like Go, Python, and JavaScript frameworks. I'm passionate about performance, usability, and creating impactful features for millions of users. Throughout my career, I've developed AI/ML platforms, recommendation systems, and developer tools integrated with major products like Search, Bard, and Alexa. I enjoy collaborating across teams to bring innovative solutions to life and constantly improving platform accessibility and monitoring.…I'm a full-stack engineer with over 8 years of experience working at tech giants like Google and Amazon. I specialize in building scalable, secure cloud-native applications using languages like Go, Python, and JavaScript frameworks. I'm passionate about performance, usability, and creating impactful features for millions of users. Throughout my career, I've developed AI/ML platforms, recommendation systems, and developer tools integrated with major products like Search, Bard, and Alexa. I enjoy collaborating across teams to bring innovative solutions to life and constantly improving platform accessibility and monitoring.

Will Taylor

Full Stack Developer, Cloud Developer, AI Engineer, +2

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I'm a full-stack engineer with over 8 years of experience working at tech giants like Google and Amazon. I specialize in building scalable, secure cloud-native applications using languages like Go, Python, and JavaScript frameworks. I'm passionate about performance, usability, and creating impactful features for millions of users. Throughout my career, I've developed AI/ML platforms, recommendation systems, and developer tools integrated with major products like Search, Bard, and Alexa. I enjoy collaborating across teams to bring innovative solutions to life and constantly improving platform accessibility and monitoring.…I'm a full-stack engineer with over 8 years of experience working at tech giants like Google and Amazon. I specialize in building scalable, secure cloud-native applications using languages like Go, Python, and JavaScript frameworks. I'm passionate about performance, usability, and creating impactful features for millions of users. Throughout my career, I've developed AI/ML platforms, recommendation systems, and developer tools integrated with major products like Search, Bard, and Alexa. I enjoy collaborating across teams to bring innovative solutions to life and constantly improving platform accessibility and monitoring.

Available to hire

I’m a full-stack engineer with over 8 years of experience working at tech giants like Google and Amazon. I specialize in building scalable, secure cloud-native applications using languages like Go, Python, and JavaScript frameworks. I’m passionate about performance, usability, and creating impactful features for millions of users.

Throughout my career, I’ve developed AI/ML platforms, recommendation systems, and developer tools integrated with major products like Search, Bard, and Alexa. I enjoy collaborating across teams to bring innovative solutions to life and constantly improving platform accessibility and monitoring.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Software Engineer at Google

May 1, 2020 - May 1, 2025

Led development on the Gemini platform tools powering Search, Bard, and Workspace LLM integrations for 1000+ engineers. Managed ML developer services on Google Cloud used by over 10K developers monthly. Designed various UIs and APIs such as the Prompt Tuning Interface, Multimodal Input Panel, and Model Output Viewer, enhancing performance and user experience. Implemented scalable infrastructure components using Go, Angular, Firebase, Kubernetes, and CI/CD. Maintained 90%+ test coverage and enhanced platform accessibility. Collaborated across teams to define schemas, safety policies, and IAM configurations for multitenant architectures.

Software Development Engineer at Amazon

November 1, 2016 - May 1, 2020

Redesigned Amazon's recommendation engine using deep learning models, improving CTR by 12%. Developed the Personalized Recommendation System serving over 300M users, utilizing Java, Go, Python, and cloud services. Built various tools like Recommendation Ranking Editor, Model Output Visualizer, and Contextual Signal Dashboard to support model deployments and monitoring. Enhanced A/B experiment setup to reduce configuration time by 40%. Delivered backend and frontend components with React, SageMaker, DynamoDB, and AWS Lambda. Implemented uptime and fallback solutions ensuring 99.9% system reliability.

Software Engineer at Google

May 1, 2025 - July 14, 2025

Led development of the Gemini platform tools used in Search, Bard, and Workspace LLM; enabled 1,000+ engineers to deploy AI features leveraging scalable applications using Go, Angular, and Firebase. Orchestrated ML developer services on Google Cloud adopted by 10K+ developers/month, utilizing Terraform, Kubernetes, and IAM policies in a multi-tenant architecture. Built numerous features including a Prompt Tuning Interface managing 200+ deployments/day, a Multimodal Input Panel processing 30K+ inference sessions/month, and the Model Output Viewer visualizing streamed inference data. Improved system performance, accessibility, and monitoring using Prometheus, OpenTelemetry, and CI/CD pipelines. Maintained 90%+ test coverage and collaborated cross-functionally on schemas and safety policies.

Software Development Engineer at Amazon

May 1, 2020 - July 14, 2025

Redesigned Amazon's recommendation engine using deep learning models, improving CTR by 12%. Contributed to a personalized recommendation system serving 300M+ users with distributed systems. Developed tools for recommendation ranking, model output visualization, and contextual signal processing handling millions of daily signals. Delivered a model deployment console managing 200+ model launches yearly, and ensured high uptime with fallback rule management. Improved A/B experiment setup UI reducing setup time by 40%. Created embedding similarity tuning tools and feedback collection systems integrated with model retraining.

Software Engineer at Google

May 1, 2025 - July 29, 2025

Spearheaded the development of Gemini platform tools powering Search, Bard, and Workspace LLM integrations, enabling over 1,000 engineers to deploy AI features. Managed ML developer services on Google Cloud used by 10,000+ developers monthly. Designed multiple Angular-based interfaces and APIs handling tens of thousands of daily users. Improved system performance and accessibility, maintained high test coverage, and enabled real-time monitoring and multitenant IAM configurations in collaboration with product and infrastructure teams.

Software Development Engineer at Amazon

May 1, 2020 - July 29, 2025

Redesigned Amazon's recommendation engine using deep learning models to improve CTR by 12%. Developed personalized recommendation systems for over 300 million users, created React tools for configuration deployment and visualization of live ML models. Built dashboards processing millions of signals daily and managed model deployments and A/B experiment setups. Ensured high uptime with fallback rule management and gathered user feedback to facilitate model retraining.