Michael Miller Email & Phone Number
Who is Michael Miller? Overview
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Michael Miller is listed as Senior Software Engineer at Amazon, a company with 734811 employees, based in West Babylon, New York, United States. AeroLeads shows a matched LinkedIn profile for Michael Miller.
Michael Miller previously worked as Senior Software Engineer, React + Next.js at Amazon and Software Engineer, React + Node.js at Netflix. Michael Miller holds Bachelor Of Science, Computer Science from National University Of Singapore.
Email format at Amazon
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About Michael Miller
Senior Software Engineer with over a decade of experience, specializing in frontend development with a strong focus on React and Node.js, and backend expertise in Python. Proven track record working at top-tier companies like Amazon, Netflix, and Uber, delivering high-performance, scalable applications for millions of users. Adept at leading cross-functional teams, building dynamic UIs, and optimizing backend services for seamless user experiences.
Michael Miller's current company
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Michael Miller work experience
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Senior Software Engineer, React + Next.Js
Current- Spearheaded the development of a responsive, high-performance product detail page using React, Redux, and TypeScript, improving page load speed by 30%.
- Collaborated with cross-functional teams to implement GraphQL APIs for enhanced data fetching, integrating with Apollo Client on the frontend and AWS Lambda on the backend.
- Enhanced the shopping cart experience by developing dynamic features using Next.js, Styled Components, and Webpack, resulting in a 25% increase in user engagement.
- Built robust backend services using Node.js, Express, and MongoDB, improving API response times by 40% through efficient database queries and caching strategies.
- Integrated DynamoDB, AWS S3, and Lambda for serverless architecture, enabling a scalable and fault-tolerant checkout system used by millions of customers daily.
- Improved front-end performance with Web Workers, Service Workers, and Lighthouse optimizations, reducing page load times and enhancing user experience on mobile devices.
Software Engineer, React + Node.Js
- Developed a highly scalable, modular UI using React, GraphQL, and Emotion.js, improving content browsing speed and user engagement by 20%.
- Led the implementation of server-side rendering for the video streaming platform using Next.js, Node.js, and Redis, which enhanced SEO and reduced time to first byte (TTFB) by 40%.
- Enhanced the Netflix recommendation engine UI by integrating Vue.js, TypeScript, and RxJS, improving performance and real-time data updates across multiple devices.
- Optimized video playback experience by implementing WebAssembly, WebSockets, and Canvas API, improving video buffering time and resolution adaptation for global users.
- Modernized backend services for content delivery using Python (Flask), MySQL, and ElasticSearch, reducing API response times by 35% and improving the resilience of data-intensive operations.
- Architected a micro-frontend system with Webpack Module Federation, React, and AWS Lambda, enabling faster deployment cycles and better team collaboration for feature updates across various Netflix services.
Software Engineer, React + Angularjs
- Developed dynamic user interfaces for the Uber Rider app using AngularJS, Bootstrap, and Sass, improving overall user satisfaction and boosting retention rates by 15%.
- Implemented real-time ride tracking features using React, WebSockets, and D3.js, enhancing the accuracy and responsiveness of the in-app maps for millions of users.
- Collaborated on building a high-performance payment processing system using Node.js, Express, and MongoDB, reducing transaction errors and increasing payment reliability by 25%.
- Improved the driver onboarding process by developing a mobile-first web application using Vue.js, Axios, and Firebase, reducing the time to onboard new drivers by 30%.
- Optimized the UberEATS order management system by implementing Ember.js, GraphQL, and Apollo Client, enhancing order handling and improving load times by 20%.
- Streamlined backend operations by integrating Node.js, RabbitMQ, and Redis for managing real-time ride requests and responses, improving system scalability and reliability under heavy load.
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts for 734811 employees →
Dillon Dennison
Colleague at AmazonSpringdale, Arkansas, United States, United States
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Ramesh Kumar Ramesh Kumar
Colleague at AmazonJaipur, Rajasthan, India, India
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Tim Gallimore
Colleague at AmazonNashville, Tennessee, United States, United States
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Ayush Pandey
Colleague at AmazonLucknow, Uttar Pradesh, India, India
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Iqra Shahzadi
Colleague at AmazonLahore, Punjab, Pakistan, Pakistan
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Simon Lawrence
Colleague at AmazonHyderabad, Telangana, India, India
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Mariah Ramos
Colleague at AmazonBuffalo, New York, United States, United States
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Arghiropol Amalia
Colleague at AmazonIaşi, Romania, Romania
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HR
Hunter Reimers
Colleague at AmazonBethany, Oklahoma, United States, United States
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Sufiyan Khan
Colleague at AmazonBhopal, Madhya Pradesh, India, India
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Michael Miller education
Frequently asked questions about Michael Miller
Quick answers generated from the profile data available on this page.
What company does Michael Miller work for?
Michael Miller works for Amazon.
What is Michael Miller's role at Amazon?
Michael Miller is listed as Senior Software Engineer at Amazon.
Where is Michael Miller based?
Michael Miller is based in West Babylon, New York, United States while working with Amazon.
What companies has Michael Miller worked for?
Michael Miller has worked for Amazon, Netflix, and Uber.
Who are Michael Miller's colleagues at Amazon?
Michael Miller's colleagues at Amazon include Dillon Dennison, Ramesh Kumar Ramesh Kumar, Tim Gallimore, Ayush Pandey, and Iqra Shahzadi.
How can I contact Michael Miller?
You can use AeroLeads to view verified contact signals for Michael Miller at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Michael Miller attend?
Michael Miller holds Bachelor Of Science, Computer Science from National University Of Singapore.
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