Hi, I’m Leonard Beadle, a Senior Full Stack Engineer with 8+ years of building scalable web applications using React.js, Next.js, Python, Node.js, and Django. I design cloud-native microservices, robust backends, and responsive frontends that power high-traffic platforms, with a focus on healthcare and AI-enabled solutions. I’m passionate about turning complex ideas into reliable, user-friendly systems—balancing performance, accessibility, and cost efficiency. I enjoy mentoring cross-functional teams, collaborating with clinicians and data scientists, and delivering customer-focused solutions that meet business goals.

Leonard Beadle

Hi, I’m Leonard Beadle, a Senior Full Stack Engineer with 8+ years of building scalable web applications using React.js, Next.js, Python, Node.js, and Django. I design cloud-native microservices, robust backends, and responsive frontends that power high-traffic platforms, with a focus on healthcare and AI-enabled solutions. I’m passionate about turning complex ideas into reliable, user-friendly systems—balancing performance, accessibility, and cost efficiency. I enjoy mentoring cross-functional teams, collaborating with clinicians and data scientists, and delivering customer-focused solutions that meet business goals.

Available to hire

Hi, I’m Leonard Beadle, a Senior Full Stack Engineer with 8+ years of building scalable web applications using React.js, Next.js, Python, Node.js, and Django. I design cloud-native microservices, robust backends, and responsive frontends that power high-traffic platforms, with a focus on healthcare and AI-enabled solutions.

I’m passionate about turning complex ideas into reliable, user-friendly systems—balancing performance, accessibility, and cost efficiency. I enjoy mentoring cross-functional teams, collaborating with clinicians and data scientists, and delivering customer-focused solutions that meet business goals.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Full Stack Engineer at Mental Health Remote
September 1, 2024 - Present
Led the end-to-end architecture and development of a scalable mental health platform using React.js, Node.js, and AWS, delivering real-time, high-performance features for diverse user interactions. Designed and implemented serverless solutions with AWS Lambda and API Gateway, reducing operational costs by 40% while ensuring high availability and scalable traffic handling. Engineered dynamic, accessible UIs with React.js and Next.js, optimized for low-bandwidth environments. Integrated AWS S3, RDS, and Lambda to create a secure data management workflow with real-time processing and low latency. Developed and deployed machine learning models in Python to personalize interventions, improving user engagement by 20%. Built robust RESTful APIs with API Gateway and Lambda for external tool integration and synchronous data flows. Collaborated with clinicians and data scientists to ensure clinically effective, scalable architecture. Implemented real-time analytics with AWS CloudWatch and led in
Senior Full Stack Engineer at Steer Health Remote
August 1, 2024 - October 6, 2025
Key contributor to an AI-powered growth platform for healthcare organizations, using React.js for the front-end and Node.js for back-end services. Drove migration of monolithic legacy systems to serverless architectures (AWS Lambda, RDS, API Gateway), achieving 30% cost reductions and improved scalability. Engineered real-time notifications with Node.js and WebSockets, cutting response times for urgent requests by 20%. Optimized Next.js-based applications to boost SEO and page load times by 40%. Integrated AI/ML models in Python for predictive patient care, enabling proactive resource allocation. Built modular Node.js microservices to support a flexible backend, and established CI/CD pipelines (AWS CodePipeline, GitHub Actions) to halve release times. Collaborated with scientists and clinicians to translate insights into analytics dashboards for real-time decision making.
Full Stack Developer at Luma Health
August 1, 2021 - October 6, 2025
Contributed to the AI-native Patient Success Platform for 650+ healthcare organizations, leveraging React.js, Node.js, and AWS to streamline patient engagement and scheduling. Built a real-time messaging system using Node.js and Socket.IO to improve patient-provider communication, increasing user retention. Implemented serverless APIs with AWS Lambda and API Gateway for fast, scalable data access. Optimized data storage with S3 and RDS, reducing data access times by 20%. Led Next.js-based pages for SEO and faster content delivery, and developed Python-based backend data processing to improve appointment accuracy by 30%. Guided front-end performance improvements with React Hooks and Redux, reducing data load times by over 30%. Integrated with multiple EHR sources to ensure interoperability and a better user experience for providers and patients.
Senior Full Stack Engineer at Mental Health Remote
September 1, 2024 - Present
Led the end-to-end architecture and development of a scalable mental health platform using React.js, Node.js, and AWS. Delivered real-time, high-performance features that support diverse user interactions and maintained accessibility across devices and bandwidth conditions. Designed serverless solutions with AWS Lambda and API Gateway, reducing operating costs by 40% while maintaining high availability during traffic spikes. Built secure data flows by integrating AWS S3, RDS, and Lambda, enabling real-time processing and low-latency access to critical resources. Developed Python-based machine learning models to personalize interventions, improving engagement by about 20%. Implemented robust RESTful APIs with API Gateway and Lambda and contributed to the analytics stack with CloudWatch. Collaborated with clinicians and data scientists to ensure the platform remains clinically relevant and reliable.
Full Stack Engineer at Steer Health
August 31, 2024 - October 6, 2025
Key contributor to an AI-powered growth platform for healthcare organizations, using React.js for the front-end and Node.js for back-end services. Led migration from monolithic legacy systems to serverless cloud architecture (AWS Lambda, RDS, API Gateway), achieving ~30% cost reduction and enhanced scalability. Engineered real-time notifications with WebSockets, reducing response times for urgent requests by 20% and improving patient satisfaction. Optimized Next.js-based web apps to boost SEO and cut page load times by 40%. Integrated Python-based AI/ML models for predictive patient care, enabling proactive resource allocation. Built modular Node.js microservices to ensure scalable, maintainable back-end. Established CI/CD pipelines (AWS CodePipeline, GitHub Actions) cutting deployment times to under 30 minutes. Collaborated with clinicians and data scientists to present actionable insights on a real-time analytics dashboard to clients.
Full Stack Developer at Luma Health
August 31, 2021 - October 6, 2025
Contributed to Luma Health’s AI-native Patient Success Platform, leveraging React.js, Node.js, and AWS to support 650+ healthcare organizations nationwide. Built a real-time messaging system using WebSockets for instant provider-patient communication, increasing user retention by 25% and improving overall satisfaction. Implemented serverless APIs with AWS Lambda and API Gateway, enabling scalable, secure data exchange. Optimized data storage with S3 and RDS, reducing data access time by about 20%. Led Next.js pages to improve SEO and reduce page load times by 35%. Developed Python-based backend data processing to analyze scheduling data, driving a 30% improvement in appointment accuracy and reducing scheduling errors. Drove frontend performance improvements with React, Hooks, and Redux, cutting key data load times by over 30%. Collaborated with cross-functional teams to integrate with EHR data sources, enhancing interoperability for providers and patients.
Senior Full Stack Engineer at Mental Health
September 1, 2024 - Present
Led end-to-end architecture and development of a scalable mental health platform using React.js, Node.js, and AWS. Implemented serverless solutions with AWS Lambda and API Gateway, reducing operational costs by 40% while ensuring high availability and scalability. Engineered dynamic, accessible UI with React.js and Next.js for responsive experiences across devices and low-bandwidth environments. Integrated AWS S3, RDS, and Lambda for efficient data management, enabling secure storage, real-time processing, and low latency. Developed and deployed machine learning models in Python to personalize mental health interventions, increasing active user participation by 20%. Built robust RESTful APIs with AWS API Gateway and Lambda for external tool integrations and real-time data synchronization. Collaborated with clinicians and data scientists to align architecture with mental health research. Implemented real-time analytics with AWS CloudWatch to monitor performance and engagement, contribut
Full Stack Engineer at Steer Health
August 1, 2024 - October 6, 2025
Key contributor to an AI-powered growth platform for healthcare organizations, with React.js front-end and Node.js back-end. Led migration of monoliths to serverless cloud architecture using AWS Lambda, RDS, and API Gateway, cutting infrastructure costs by ~30% and boosting scalability. Engineered real-time notifications using Node.js and WebSockets, reducing urgent-response times by 20%. Optimized Next.js-based web applications for SEO and performance, achieving 40% faster page loads. Integrated AI/ML models in Python for predictive patient care to improve outcomes and optimize resource allocation. Built and scaled microservices with Node.js to enable modular back-ends, and established CI/CD pipelines with AWS CodePipeline and GitHub Actions, reducing release times to under 30 minutes. Collaborated with data scientists to deliver actionable insights via analytics dashboards for real-time decision-making.
Full Stack Developer at Luma Health
August 1, 2021 - October 6, 2025
Contributed to Luma Health’s AI-native Patient Success Platform, using React.js, Node.js, and AWS to streamline patient engagement, scheduling, and communication across 650+ healthcare organizations. Built real-time messaging with Node.js and WebSockets, increasing user retention by 25%. Implemented serverless APIs with AWS Lambda/API Gateway for fast, secure integration between front-end and back-end. Optimized data storage with S3 and RDS, reducing data access times by 20%. Led Next.js-based pages to improve SEO and reduce page load times by 35%. Developed Python-based back-end data processing for scheduling analytics, boosting appointment accuracy by 30%. Led front-end optimization with React, hooks, and Redux, cutting data load times by 30%. Collaborated with cross-functional teams to integrate with EHRs and external data sources.
Senior Full Stack Engineer at Mental Health Remote
September 1, 2024 - Present
Led end-to-end architecture and development of a scalable mental health platform using React.js, Node.js, and AWS. Architected serverless solutions with AWS Lambda and API Gateway to reduce costs by 40% while enabling scalable, high-availability operations. Built dynamic, accessible UIs with React.js and Next.js, ensuring responsiveness across devices and low-bandwidth conditions. Integrated AWS S3, RDS, and Lambda for secure data management and real-time data processing. Developed Python-based ML models to personalize interventions, increasing active user participation by 20%. Implemented robust RESTful APIs with API Gateway and Lambda for real-time data synchronization and external tool integrations. Collaborated with clinicians and data scientists to ensure clinically effective, scalable solutions. Implemented real-time analytics with AWS CloudWatch to drive data-driven decisions and improve user retention by 15% in the first quarter post-launch.
Full Stack Engineer at Steer Health
August 1, 2024 - October 6, 2025
Played a key role in developing an AI-powered growth platform for healthcare organizations, using React.js for the front-end and Node.js for back-end services to improve patient acquisition, engagement, and operational workflows. Led migration of monolithic systems to serverless cloud architectures with AWS Lambda, RDS, and API Gateway, achieving a 30% reduction in infrastructure costs and improved scalability. Engineered real-time notification systems using Node.js and WebSockets, reducing urgent-response times and boosting patient satisfaction. Optimized Next.js-based web applications for SEO and faster page loads (up to 40%). Integrated Python-based AI/ML models for predictive patient care, enabling proactive resource allocation. Built modular microservices with Node.js to support a flexible backend and independent scaling. Established CI/CD pipelines with AWS CodePipeline and GitHub Actions, cutting release times to under 30 minutes. Collaborated with data scientists and clinicians
Full Stack Developer at Luma Health
August 1, 2021 - October 6, 2025
Contributed to the development of Luma Health’s AI-native Patient Success Platform, leveraging React.js, Node.js, and AWS to streamline patient engagement, appointment scheduling, and communications across 650+ healthcare organizations. Built a real-time messaging system with Node.js and WebSockets to boost user retention by 25%. Implemented serverless APIs with AWS Lambda and API Gateway for reliable, scalable integration between front-end and back-end. Optimized data storage with AWS S3 and RDS, reducing data access times by 20%. Developed Next.js pages to improve SEO and reduce load times by 35%. Created Python-based data processing to analyze scheduling data, improving appointment accuracy by 30%. Led front-end optimization with React, Hooks, and Redux to further reduce key data loads. Coordinated integration with multiple EHR systems to ensure interoperability for providers and patients.
Senior Full Stack Engineer at Mental Health
September 1, 2024 - Present
Led the end-to-end architecture and development of a scalable mental health platform using React.js, Node.js, and AWS, delivering real-time, high-performance features that support diverse user interactions and accessibility across devices. Designed and implemented serverless solutions with AWS Lambda and API Gateway, reducing operational costs by 40% while ensuring scalable infrastructure and high availability during traffic spikes. Built dynamic, accessible frontends with React.js and Next.js, emphasizing responsive design and performance in low-bandwidth environments. Integrated AWS S3, RDS, and Lambda for efficient data management, enabling secure storage, real-time processing, and low-latency access to mental health resources. Developed and deployed Python-based machine learning models to personalize interventions, boosting user engagement by 20%. Implemented robust RESTful APIs with AWS API Gateway and Lambda to support integrations with external mental health tools and real-time
Full Stack Engineer at Steer Health
August 1, 2024 - October 14, 2025
Contributed to an AI-powered growth platform for healthcare organizations using React.js for the frontend and Node.js for backend services, driving patient acquisition and engagement and optimizing operational workflows. Led migration of monolithic systems to serverless architectures leveraging AWS Lambda, RDS, and API Gateway, reducing infrastructure costs by 30% and significantly improving scalability. Engineered real-time notification systems with Node.js and WebSockets, reducing response times for urgent requests by 20% and boosting patient satisfaction. Designed and optimized Next.js-based web applications to enhance SEO and improve page load times by 40%. Integrated Python-based AI/ML models for predictive patient care, enabling proactive resource allocation. Established CI/CD pipelines using AWS CodePipeline and GitHub Actions, automating deployments and reducing release times to under 30 minutes. Collaborated with data scientists and clinicians to surface actionable insights in
Full Stack Developer at Luma Health
August 1, 2021 - October 14, 2025
Contributed to Luma Health’s AI-native Patient Success Platform, utilizing React.js, Node.js, and AWS to streamline patient engagement, appointment scheduling, and communication across 650+ healthcare organizations. Built real-time messaging with Node.js and WebSockets, increasing user retention and satisfaction through instant provider-patient communication. Integrated AWS Lambda and API Gateway to build scalable, serverless APIs, ensuring fast, reliable, and secure communication between the front-end and back-end. Optimized data storage with S3 and RDS, resulting in faster data access and improved system efficiency. Led Next.js-based page development to improve SEO and reduce page load times by 35%. Developed Python-based backend data processing to analyze scheduling data, achieving a 30% improvement in appointment accuracy. Directed frontend optimization using React, Hooks, and Redux to accelerate load times and reduce data fetch latency by over 30%. Collaborated with cross-functi
Senior Full Stack Engineer at Mental Health Remote
September 1, 2024 - Present
Led the end-to-end architecture and development of a scalable mental health platform using React.js, Node.js, and AWS; designed serverless solutions with AWS Lambda and API Gateway to reduce costs and handle traffic spikes; built dynamic, accessible UIs with React.js and Next.js; integrated AWS S3, RDS, and Lambda for secure data management and low latency; developed Python-based ML models to personalize interventions; built secure RESTful APIs with API Gateway/Lambda; contributed to features for mindfulness and emotional wellbeing; collaborated with clinicians and data scientists to ensure clinical relevance; implemented real-time analytics with CloudWatch to drive data-driven decisions and improve user retention.
Senior Full Stack Engineer at Steer Health
August 1, 2024 - October 14, 2025
Contributed to an AI-powered growth platform for healthcare organizations, using React.js on the frontend and Node.js on the backend; migrated multiple monolithic systems to serverless architectures with AWS Lambda, RDS, and API Gateway, achieving ~30% cost savings and improved scalability; engineered real-time notification systems using Node.js and WebSockets; optimized Next.js applications for SEO and faster load times; integrated Python-based AI/ML models for predictive patient care; developed and scaled Node.js microservices for a modular backend; established CI/CD pipelines with AWS CodePipeline and GitHub Actions to shorten release cycles; collaborated with data scientists and clinicians to deliver real-time analytics dashboards.
Full Stack Developer at Luma Health
August 1, 2021 - October 14, 2025
Contributed to Luma Health’s AI-native Patient Success Platform, delivering real-time messaging with Node.js and WebSockets; built scalable serverless APIs with AWS Lambda and API Gateway; optimized data storage with AWS S3 and RDS, reducing access time; advanced Next.js pages to improve SEO and page performance; developed Python data processing for scheduling analytics; led frontend optimizations with React, Hooks, and Redux; integrated platform features with multiple EHR data sources to ensure interoperability.
Senior Full Stack Engineer at Mental Health Remote
September 1, 2024 - Present
Led the end-to-end architecture and development of a scalable mental health platform using React.js, Node.js, and AWS, delivering real-time, high-performance solutions supporting diverse user interactions. Designed and implemented serverless solutions with AWS Lambda and API Gateway, reducing operational costs by 40% and providing a scalable infrastructure. Engineered dynamic, accessible UIs with React.js and Next.js for responsive experiences across devices and low-bandwidth environments. Integrated AWS S3, RDS, and Lambda for secure data storage and real-time processing with low latency. Developed machine learning models in Python to personalize interventions, increasing active user participation by 20%. Built secure RESTful APIs with API Gateway and Lambda for seamless integration and real-time data synchronization. Collaborated with clinicians and data scientists to ensure clinically effective solutions. Implemented real-time analytics with AWS CloudWatch to monitor performance and
Full Stack Engineer at Steer Health
August 31, 2024 - October 14, 2025
Key contributor to an AI-powered growth platform for healthcare organizations, using React.js on the front-end and Node.js on the back-end to improve patient acquisition and engagement. Led migration of monolithic systems to serverless cloud architectures with AWS Lambda, RDS, and API Gateway, cutting infrastructure costs by 30% and increasing scalability. Engineered real-time notifications via WebSockets, reducing response times by 20% and improving patient satisfaction. Optimized Next.js-based web applications to enhance SEO and page load times by 40%. Integrated advanced AI/ML models in Python for predictive patient care, improving outcomes and resource allocation. Developed modular Node.js microservices to support a flexible back-end. Established CI/CD pipelines using AWS CodePipeline and GitHub Actions, reducing release times to under 30 minutes. Collaborated with data scientists and clinicians to translate analytics into actionable insights for real-time decision-making.
Full Stack Developer at Luma Health
August 31, 2021 - October 14, 2025
Contributed to the AI-native Patient Success Platform, utilizing React.js, Node.js, and AWS to streamline patient engagement, appointment scheduling, and communications for over 650 healthcare organizations. Built and maintained a real-time messaging system with Node.js and WebSockets, increasing user retention and satisfaction. Implemented serverless APIs with AWS Lambda and API Gateway to ensure scalable, reliable communication. Optimized data storage using AWS S3 and RDS, reducing data access times by 20%. Led the development of Next.js pages to improve SEO and page load times by 35%. Developed Python-based backend data processing to improve appointment accuracy by 30%. Drove frontend performance improvements using React.js, Hooks, and Redux, reducing key data load times by over 30%. Collaborated with cross-functional teams to integrate with EHR systems, enhancing interoperability for providers and patients.

Education

Bachelor's Degree in Computer Science at University of Essex
January 1, 2014 - January 1, 2017
Bachelor's Degree at University of Essex
January 1, 2014 - January 1, 2017
Bachelor's Degree at University of Essex
January 1, 2014 - January 1, 2017
Bachelor's Degree in Computer Science at University of Essex
January 1, 2014 - January 1, 2017
Bachelor's Degree in Computer Science at University of Essex
January 1, 2014 - January 1, 2017
Bachelor's Degree at University of Essex
January 1, 2014 - January 1, 2017
Bachelor's Degree at University of Essex
January 1, 2014 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Professional Services