Software Engineer Senior

Edward Clark

Senior Software Engineer, AI/ML

Huntington Beach, CA 92646 ***************@*****.*** 858-***-**** SUMMARY

Highly skilled Senior Software Engineer with over 8 years of experience specializing in Artificial Intelligence, Machine Learning, and full-stack development. My expertise lies in transforming complex challenges into scalable, high- performance solutions that drive innovation and optimize operations. With a strong background in Python, TensorFlow, and AI integration, I deliver comprehensive, end-to-end solutions that empower data-driven decision-making. Proficient in designing, developing, and deploying machine learning models and scalable web applications, I bring extensive experience in dashboard development and AI-enhanced analytics. My technical skills include Docker, Kubernetes, and AWS, complemented by deep knowledge in data pipeline construction, data modeling, and cloud platform management.

I am adept at leading cross-functional teams, leveraging my expertise in SQL query optimization, data visualization, and storytelling to deliver impactful solutions across various business contexts. My strong focus on quality assurance, data governance, and performance optimization ensures that the solutions I create not only meet but exceed expectations in complex, fast-paced environments.

PROFESSIONAL EXPERIENCE

Asurion

Senior Software Engineer

Sep, 2022 – Present

[ Python, TensorFlow, PyTorch, Keras, AWS (SageMaker, Lambda, S3, RDS), Docker, Kubernetes, SQL, Flask, Jenkins, Kafka, Apache Spark, RESTful APIs, Microservices, CI/CD, Terraform, Ansible ]

AI/ML Model Development: Led the development of advanced machine learning models to enhance predictive analytics and automate customer service processes. Leveraged TensorFlow and PyTorch to build and deploy models in AWS SageMaker, reducing operational costs by 20%.

Cloud Integration: Architected and implemented scalable, cloud-based solutions using AWS services, including Lambda for serverless functions, S3 for data storage, and RDS for relational databases. Automated infrastructure deployment with Terraform and Ansible, improving consistency and reducing setup times by 50%.

Data Processing Pipelines: Designed and maintained data pipelines using Apache Spark and Kafka for real-time data processing and analytics, improving data processing efficiency by 30%.

Performance Optimization: Collaborated with DevOps teams to containerize applications using Docker and Kubernetes, optimizing resource allocation and improving system reliability.

API Development: Developed and integrated RESTful APIs with Flask for seamless communication between AI models and front-end applications, enhancing user interaction and experience. HealthStream

Senior Software Engineer, AI/ML

Feb, 2019 – Sep, 2022

[ Python, TensorFlow, Scikit-Learn, Azure (Machine Learning, Functions, Cosmos DB), SQL, Flask, Jenkins, Docker, Pandas, NumPy, Airflow, Apache Kafka, Microservices, REST APIs, CI/CD ]

ML Model Implementation: Spearheaded the implementation of machine learning models for workforce development solutions, focusing on predictive analytics for employee performance and training needs. Utilized TensorFlow and Scikit-Learn to create models that improved prediction accuracy by 25%.

ETL and Data Engineering: Developed and managed ETL pipelines with Apache Airflow and Kafka, automating data ingestion, transformation, and loading processes, resulting in a 40% reduction in manual data handling.

Azure Cloud Solutions: Deployed machine learning models in Azure, utilizing Azure Machine Learning for training and model management, Azure Functions for serverless execution, and Cosmos DB for high- throughput data storage.

Microservices Architecture: Transitioned monolithic applications to a microservices architecture, improving system scalability and reducing deployment times by 35%.

Continuous Deployment: Implemented CI/CD pipelines using Jenkins, enabling automated testing, integration, and deployment, which reduced the time to market for new features by 30%. Eventbrite

Full Stack Developer

May, 2017 – Feb, 2019

[ Python, Django, TensorFlow, Keras, PostgreSQL, AWS (EC2, S3, RDS, Lambda), Docker, Elasticsearch, React, Jenkins, Redis, GraphQL, Celery ]

Contributed to the development of a decentralized application using TypeScript, React, Solidity, and Truffle, achieving a 20% reduction in gas costs through optimized smart contract design patterns and event handling.

Designed and led the development of a full-stack web and mobile application using TypeScript, Express.js, PostgreSQL, React Native, MobX, and RxJS.

Maintained a stable and reliable codebase by implementing unit and integration tests with Jest, React Testing Library, and Enzyme across multiple React codebases.

Enhanced a microservices architecture by designing service interactions with Koa.js, MySQL, Prisma, and Elasticsearch, improving average response times by 50% through reactive programming with RxJS streams.

Utilized TypeScript’s static typing and advanced code navigation features to reduce bugs and streamline development, converting three mid-sized codebases from JavaScript to TypeScript. Reload

Full Stack Developer

Nov, 2016 – May, 2017

[ Python, Django, React, Node.js, MySQL, AWS (EC2, S3), Docker, Git, REST APIs, Jenkins, Redis, Bootstrap ]

Designed, developed, and deployed full-stack web applications tailored to business objectives and client needs using React, Express.js, MySQL, PostgreSQL, and MongoDB.

Boosted page speed by 15% for a $25M annual revenue e-commerce site by implementing code-splitting and performance optimizations with React, GraphQL, and Apollo.

Actively contributed ideas and updates in team meetings, providing insights on deadlines, designs, and enhancements.

Developed a customer-facing web application utilizing Express.js, Prisma, Vue.js, PostgreSQL, and Node.js.

Created a Progressive Web Application (PWA) with Angular, TypeScript, and GraphQL (Relay).

Deployed multiple web applications using Docker, Kubernetes, and AWS.

Implemented SEO strategies for a React-based e-commerce site with a catalog of over 20,000 products, resulting in a 23% increase in page views per session through server-side rendering with Next.js and Gatsby. EDUCATION

California State University, Chico

Bachelor of Science / Computer Science

2012 - 2016

ADDITIONAL SKILLS

Professional Skills:

Communication, Problem Solving, Flexibility, Creativity, Time Management, Accountability, Collaboration, Fast Learner, Efficiency, Self-Starter

Technical Skills:

Libraries/APIs: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras Tools: GitLab, Docker Compose, Spark SQL, Amazon SageMaker Languages: Python, TypeScript, JavaScript, Java, SQL, R, Bash Frameworks: Flask, Apache Spark, Django, React

Platforms: Jupyter Notebook, Databricks, Linux, Docker Paradigms: DevOps, Business Intelligence (BI)

Other: AI, Machine Learning, Data Science, Big Data, MLOps Front-End: React, Next.js, Vue.js, Tailwind CSS

Back-End: Node.js, Django, PHP, Nest.js

Databases: SQL, PostgreSQL, MySQL, MongoDB

Build Tools: webpack, Vite

APIs: REST, GraphQL

Testing: Jest, Enzyme

Version Control: Git

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