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Kevin Lee
Senior Software Engineer
XXXX@XXXX.XXX
Cordova, TN
kevinleewy
PROFILE
Senior software engineer with 8 years of comprehensive fullstack development experience and 3
years as a senior machine learning engineer, possessing deep expertise in building scalable
applications and implementing AI-driven solutions. Proven track record of leading development
teams, mentoring engineers, and delivering high-impact solutions that integrate machine learning
capabilities with modern web technologies while maintaining exceptional code quality and system
performance.
EDUCATION
Master's Degree of Electrical Engineering
2018 – 2022 | Stanford, CA
Stanford University
Bachelor of Science of Electrical Engineering and
2012 – 2014 | Berkeley, CA
Computer Science
UC Berkeley
Bachelor of Science of Engineering
2011 – 2012 | Cupertino, CA
De Anza College
PROFESSIONAL EXPERIENCE
Senior Machine Learning Engineer
07/2022 – Present | Cupertino, CA
Apple
Participated in the development of large language models and implemented advanced NLP
•
solutions for Apple's ecosystem, achieving 40% improvement in user interaction accuracy.
Architected distributed machine learning systems using TensorFlow and PyTorch, deploying
•
models across Apple's global infrastructure with 99.9% uptime.
Led cross-functional teams in developing computer vision solutions for facial recognition and
•
augmented reality features, achieving 95% accuracy in real-time processing.
Designed and implemented automated ML pipelines using Apache Airflow and Kubeflow,
•
reducing model deployment time from weeks to hours.
Developed recommendation engines using collaborative filtering and deep learning
•
techniques, increasing user engagement by 35% across Apple services.
Built real-time inference systems using TensorRT and Core ML, optimizing model performance
•
for iOS devices while maintaining battery efficiency.
Implemented A/B testing frameworks for ML model validation, ensuring statistical significance
•
and reliable performance metrics.
Collaborated with product teams to translate business requirements into machine learning
•
solutions, driving innovation across multiple product lines.
Senior Software Engineer
03/2018 – 06/2022 | Sunnyvale, CA
Claris
Led architectural decisions for enterprise-scale applications, implementing microservices
•
patterns and event-driven architectures using Node.js and React.
Designed and developed high-performance APIs with RESTful APIs and GraphQL endpoints
•
handling millions of requests daily, implementing caching strategies and load balancing for
optimal performance.
Built responsive single-page applications (SPAs) using React hooks, Redux state management,
•
and modern CSS frameworks while optimizing bundle sizes and Core Web Vitals.
Integrated blockchain smart contracts using Web3.js and Solidity, connecting decentralized
•
applications with traditional fullstack architectures.a
Built microservices architecture using Rust's Actix-web framework and Go's Gin framework,
•
achieving 5x performance improvement over previous Node.js implementations.
Implemented containerized applications using Docker and Kubernetes, setting up CI/CD
•
pipelines with GitHub Actions for automated testing and deployment.
Optimized application performance through code splitting, lazy loading, and implementing
•
service workers for progressive web app capabilities.
Built real-time features using WebSocket connections and implemented server-side rendering
•
(SSR) for improved SEO and performance.
Designed and implemented comprehensive testing strategies using Jest, React Testing Library,
•
and API testing frameworks for robust application quality.
Implemented comprehensive security protocols including OAuth2, JWT tokens, and role-based
•
access control, ensuring enterprise-grade security standards.
Developed real-time collaborative features using WebSocket connections and Redis pub/sub,
•
enabling live user interactions across multiple sessions.
Architected database solutions using PostgreSQL and MongoDB, implementing complex
•
queries, indexing strategies, and data migration pipelines.
Integrated third-party services including payment gateways, analytics platforms, and cloud
•
storage solutions, ensuring seamless data flow and reliability.
Designed and implemented comprehensive monitoring and observability solutions using
•
Prometheus, Grafana, and ELK stack, reducing mean time to resolution (MTTR) by 70%.
Led technical architecture reviews and mentored development teams, establishing coding
•
standards and best practices for scalable application development
Web App Developer
12/2017 – 02/2018 | Sunnyvale, CA
Fortinet
Built RESTful APIs and backend services using Node.js and Express.js, supporting
•
authentication and authorization systems for enterprise security applications.
Implemented frontend components using React.js and modern CSS frameworks, ensuring
•
cross-browser compatibility and accessibility standards.
Integrated with Fortinet's security APIs and third-party services, developing features for
•
network monitoring and threat detection dashboards.
SKILLS
Languages — Javascript, Typescript, Python, PHP, Go, Rust, SQL, HTML5, CSS3 | Frontend —
React.js, Next.js, Vue.js, Angular, Redux, NgRx, Tailwind CSS, SASS, LESS | Backend — Node.js,
Express.js, Nest.js, FastAPI, Django, Flask, Actix-web, Gin, GraphQL, Microservices, Apache Kafka,
RabbitMQ, Redis Pub/Sub, WebSocket, Socket.io | Databases & ORM — PostgreSQL, MongoDB,
MySQL, Redis, DynamoDB, Prisma, TypeORM, GORM | Cloud & DevOps — AWS (EC2, S3,
Lambda, ECS, EKS), Docker, Kubernetes, Terraform, Github Actions, Jenkins, CI/CD | Security —
OAuth2, JWT, CORS, HTTPS | Testing — Jest, Cypress, Mocha, Chai, TDD, ESLint |
Blockchain & Web3 — Web3.js, Ethers.js, Solidity, IPFS, MetaMask Integration | AI & ML —
PyTorch, TensorFlow, Hugging Face Transformers, CNN, OpenCV, Pandas, NumPy, MCP, LLMs,
RAG, NLP, MLOps, Amazon SageMaker, Apache Airflow, Apache Spark, OpenAI API, LangChain,
XGBoost, MLflow, Kubeflow, TensorRT, Core ML, CLIP Kevin Lee
Senior Software Engineer
XXXX@XXXX.XXX
Cordova, TN
kevinleewy
PROFILE
Senior software engineer with 8 years of comprehensive fullstack development experience and 3
years as a senior machine learning engineer, possessing deep expertise in building scalable
applications and implementing AI-driven solutions. Proven track record of leading development
teams, mentoring engineers, and delivering high-impact solutions that integrate machine learning
capabilities with modern web technologies while maintaining exceptional code quality and system
performance.
EDUCATION
Master's Degree of Electrical Engineering
2018 – 2022 | Stanford, CA
Stanford University
Bachelor of Science of Electrical Engineering and
2012 – 2014 | Berkeley, CA
Computer Science
UC Berkeley
Bachelor of Science of Engineering
2011 – 2012 | Cupertino, CA
De Anza College
PROFESSIONAL EXPERIENCE
Senior Machine Learning Engineer
07/2022 – Present | Cupertino, CA
Apple
Participated in the development of large language models and implemented advanced NLP
•
solutions for Apple's ecosystem, achieving 40% improvement in user interaction accuracy.
Architected distributed machine learning systems using TensorFlow and PyTorch, deploying
•
models across Apple's global infrastructure with 99.9% uptime.
Led cross-functional teams in developing computer vision solutions for facial recognition and
•
augmented reality features, achieving 95% accuracy in real-time processing.
Designed and implemented automated ML pipelines using Apache Airflow and Kubeflow,
•
reducing model deployment time from weeks to hours.
Developed recommendation engines using collaborative filtering and deep learning
•
techniques, increasing user engagement by 35% across Apple services.
Built real-time inference systems using TensorRT and Core ML, optimizing model performance
•
for iOS devices while maintaining battery efficiency.
Implemented A/B testing frameworks for ML model validation, ensuring statistical significance
•
and reliable performance metrics.
Collaborated with product teams to translate business requirements into machine learning
•
solutions, driving innovation across multiple product lines.
Senior Software Engineer
03/2018 – 06/2022 | Sunnyvale, CA
Claris
Led architectural decisions for enterprise-scale applications, implementing microservices
•
patterns and event-driven architectures using Node.js and React.
Designed and developed high-performance APIs with RESTful APIs and GraphQL endpoints
•
handling millions of requests daily, implementing caching strategies and load balancing for
optimal performance.
Built responsive single-page applications (SPAs) using React hooks, Redux state management,
•
and modern CSS frameworks while optimizing bundle sizes and Core Web Vitals.
Integrated blockchain smart contracts using Web3.js and Solidity, connecting decentralized
•
applications with traditional fullstack architectures.a
Built microservices architecture using Rust's Actix-web framework and Go's Gin framework,
•
achieving 5x performance improvement over previous Node.js implementations.
Implemented containerized applications using Docker and Kubernetes, setting up CI/CD
•
pipelines with GitHub Actions for automated testing and deployment.
Optimized application performance through code splitting, lazy loading, and implementing
•
service workers for progressive web app capabilities.
Built real-time features using WebSocket connections and implemented server-side rendering
•
(SSR) for improved SEO and performance.
Designed and implemented comprehensive testing strategies using Jest, React Testing Library,
•
and API testing frameworks for robust application quality.
Implemented comprehensive security protocols including OAuth2, JWT tokens, and role-based
•
access control, ensuring enterprise-grade security standards.
Developed real-time collaborative features using WebSocket connections and Redis pub/sub,
•
enabling live user interactions across multiple sessions.
Architected database solutions using PostgreSQL and MongoDB, implementing complex
•
queries, indexing strategies, and data migration pipelines.
Integrated third-party services including payment gateways, analytics platforms, and cloud
•
storage solutions, ensuring seamless data flow and reliability.
Designed and implemented comprehensive monitoring and observability solutions using
•
Prometheus, Grafana, and ELK stack, reducing mean time to resolution (MTTR) by 70%.
Led technical architecture reviews and mentored development teams, establishing coding
•
standards and best practices for scalable application development
Web App Developer
12/2017 – 02/2018 | Sunnyvale, CA
Fortinet
Built RESTful APIs and backend services using Node.js and Express.js, supporting
•
authentication and authorization systems for enterprise security applications.
Implemented frontend components using React.js and modern CSS frameworks, ensuring
•
cross-browser compatibility and accessibility standards.
Integrated with Fortinet's security APIs and third-party services, developing features for
•
network monitoring and threat detection dashboards.
SKILLS
Languages — Javascript, Typescript, Python, PHP, Go, Rust, SQL, HTML5, CSS3 | Frontend —
React.js, Next.js, Vue.js, Angular, Redux, NgRx, Tailwind CSS, SASS, LESS | Backend — Node.js,
Express.js, Nest.js, FastAPI, Django, Flask, Actix-web, Gin, GraphQL, Microservices, Apache Kafka,
RabbitMQ, Redis Pub/Sub, WebSocket, Socket.io | Databases & ORM — PostgreSQL, MongoDB,
MySQL, Redis, DynamoDB, Prisma, TypeORM, GORM | Cloud & DevOps — AWS (EC2, S3,
Lambda, ECS, EKS), Docker, Kubernetes, Terraform, Github Actions, Jenkins, CI/CD | Security —
OAuth2, JWT, CORS, HTTPS | Testing — Jest, Cypress, Mocha, Chai, TDD, ESLint |
Blockchain & Web3 — Web3.js, Ethers.js, Solidity, IPFS, MetaMask Integration | AI & ML —
PyTorch, TensorFlow, Hugging Face Transformers, CNN, OpenCV, Pandas, NumPy, MCP, LLMs,
RAG, NLP, MLOps, Amazon SageMaker, Apache Airflow, Apache Spark, OpenAI API, LangChain,
XGBoost, MLflow, Kubeflow, TensorRT, Core ML, CLIP