jeremycarter565

• Led the digital transformation of the media platform by focusing on modern JavaScript/TypeScript and Python development. • Architected responsive front‑end applications using React.js, Next.js, and TypeScript to create engaging, high‑performance user experiences. • Developed robust backend services in Python by integrating Django and Flask frameworks to manage dynamic content and subscription models. • Implemented RESTful APIs and microservices in Node.js and Express.js to support seamless data interchange across systems. • Leveraged modern version control and CI/CD pipelines to ensure rapid deployment and high code quality. • Utilized cloud platforms (AWS, GCP) to deploy containerized applications using Docker and Kubernetes. • Integrated data engineering techniques including ETL pipelines and visualization tools to track audience engagement and advertising metrics. • Explored and incorporated emerging AI/ML solutions with Python libraries for natural language processing (NLP) and chat automation. • Optimized legacy systems by refactoring code in JavaScript, Python, and C# using a microservices architecture with .NET Core, and implemented unit and integration tests using NUnit (for .NET components) and Jest (for JavaScript modules). • Collaborated with creative and editorial teams to implement user‑centric designs and digital advertising strategies. • Mentored a team of junior developers, fostering continuous learning and cross‑functional collaboration. • Drove technical innovations that significantly enhanced platform scalability, security, and overall digital footprint. • Integrated AI SDKs (OpenAI ChatGPT, Claude) to enable automated content generation, enhancing digital media workflows and personalization. • Developed real-time collaboration features using PartyKit, enabling seamless multi-user content editing and live interactions. • Implemented a visual workflow builder using React Flow for streamlined content automation and asset organization.

• Developed high‑performance, scalable services to support real‑time social media interactions for a global user base. • Architected microservices using Node.js, Python, and Go, ensuring robust backend processing and low‑latency responses. • Enhanced front‑end experiences with React.js and modern JavaScript/TypeScript frameworks to deliver dynamic content. • Integrated advanced AI/ML algorithms for content recommendation and automated moderation to improve user engagement. • Streamlined DevOps pipelines using Docker, Kubernetes, and agile methodologies to accelerate deployment cycles. • Contributed to the development of data analytics platforms and ETL processes for real‑time monitoring of platform metrics. • Collaborated closely with cross‑functional teams to drive continuous improvements in cybersecurity and system reliability. • Mentored junior engineers and fostered a culture of innovation and collaboration. • Implemented automated testing using Jest for frontend unit tests and Pytest for backend modules, reinforcing a TDD approach. • Designed and integrated real-time messaging and social collaboration features using LiveBlocks for interactive media sharing. • Built a secure, scalable WebSocket architecture to support millions of concurrent users in live engagement features.

• Contributed to the development of smart home IoT solutions that integrated seamlessly with Google’s ecosystem. • Architected secure, cloud‑based backend systems using Node.js and Python to manage device data and analytics. • Implemented responsive front‑end interfaces with modern JavaScript frameworks for real‑time device monitoring and control. • Integrated AI/ML models for predictive maintenance and energy optimization across connected devices. • Leveraged DevOps tools such as Docker and Kubernetes to streamline continuous deployment and system scalability. • Collaborated with hardware engineers to ensure robust API integrations for sensor data and firmware updates. • Managed agile sprint planning and Jira‑based project management to enhance cross‑functional collaboration. • Achieved improved system security and user satisfaction in a fast‑paced, innovation‑driven environment. • Established end-to-end testing for IoT dashboards using Selenium for browser automation and Mocha/Chai for backend API tests. • Designed visual mind-mapping tools to help users track energy efficiency improvements using interactive data visualization. • Developed AI-driven video/audio processing workflows to optimize smart home interactions and device feedback.

• Developed secure healthcare applications that streamlined patient data management and claims processing. • Engineered back‑end services using Python, Java, and .NET Core, ensuring HIPAA‑compliant data encryption, integrity, and leveraging a microservices architecture for secure data interchange. • Designed intuitive front‑end modules with Angular.js and responsive CSS frameworks to enhance user experience for patients and providers. • Integrated cloud‑based analytics and ETL pipelines to facilitate real‑time health data processing and reporting. • Implemented AI/ML algorithms to predict patient outcomes and optimize resource allocation. • Collaborated with cybersecurity experts and cross‑disciplinary teams to bolster system resilience and regulatory compliance. • Utilized automated testing frameworks such as Pytest and unittest for backend services and Jasmine/Karma for Angular.js frontend testing, ensuring high test coverage and reliability.

• Spearheaded the development of robust, full‑stack e‑commerce applications serving millions of global customers. • Architected scalable backend systems using Node.js, Python, and Java to ensure high availability and performance under heavy loads. • Designed dynamic front‑end interfaces with React.js, Angular.js, and CSS preprocessors (SASS, LESS) to improve customer engagement. • Implemented RESTful APIs and integrated microservices—including .NET-based services—for seamless interactions between multiple system components. • Leveraged AWS cloud infrastructure to deploy containerized applications using Docker and orchestrated them with Kubernetes. • Engineered ETL pipelines and data visualization dashboards for real‑time monitoring of sales and customer engagement metrics. • Utilized agile methodologies and sprint planning in Jira to streamline development cycles and enhance team productivity. • Integrated early AI/ML models to enhance personalization and fraud detection across payment gateways. • Optimized serverless architectures and leveraged AWS Lambda functions for on‑demand computing resources. • Mentored junior engineers and collaborated with diverse teams to drive cross‑functional innovation. • Implemented unit tests using Jest and Enzyme for React components, Mocha/Chai and Supertest for Node.js API testing, and NUnit for .NET service validation, following TDD practices.

• Developed enterprise‑grade solutions that integrated advanced networking protocols with scalable cloud architectures and implemented microservices using .NET to unify diverse networking tools. • Implemented secure microservices using Java and Python to streamline internal communications and data processing. • Optimized DevOps pipelines with agile methodologies and automated CI/CD practices to improve deployment cycles. • Collaborated with cybersecurity teams to integrate real‑time threat detection and anomaly monitoring across distributed systems. • Enhanced front‑end interfaces with JavaScript and AJAX to improve accessibility and usability of network management tools. • Enhanced front‑end interfaces with JavaScript and AJAX, and established unit testing using Jasmine for frontend components and MSTest for .NET microservices.

• Designed and maintained secure, RESTful APIs for seamless online payment processing. • Integrated robust backend services using Python and Ruby to ensure efficient transaction handling and data integrity. • Developed lightweight microservices—incorporating .NET integration for legacy support—and implemented automated unit tests using Pytest (for Python modules) and Mocha/Chai (for JavaScript-based services). • Assisted in optimizing legacy codebases and integrating early cloud deployments to support rapid scalability. • Collaborated with cross‑functional teams to incorporate emerging AI/ML concepts for fraud detection.

• Contributed to the development of an innovative online learning platform delivering interactive educational content to millions globally. • Engineered front‑end enhancements using AJAX, jQuery, and CSS to improve user engagement and streamline digital tutoring experiences. • Developed Python‑based data pipelines and early ETL techniques for analyzing student performance and content effectiveness. • Utilized Python’s unittest and Pytest frameworks to develop comprehensive unit tests for data processing pipelines, ensuring robust and reliable analytics. • Collaborated with educators and interdisciplinary teams to optimize platform scalability and responsiveness.