Joe Smith

Lead/Senior Software Engineer with 10 years of experience designing and delivering scalable full-stack software, AI-powered applications, intelligent automation, and cloud-based platforms. Strong expertise in JavaScript, TypeScript, Python, Node.js, REST APIs, modern frontend architecture, distributed backend services, and enterprise application development. Experienced in integrating Generative AI and LLM capabilities into production workflows, building AI-powered agents, automating complex business processes, and developing intelligent solutions that improve productivity and user experience.

Proven technical leadership across architecture, implementation, code quality, mentoring, and cross-functional collaboration. Experienced working with healthcare and enterprise platforms where security, reliability, data privacy, and regulatory considerations are critical. Strong background with AWS/Azure, Docker, CI/CD, automated testing, and modern software engineering practices.

Staff Software Engineer at ReliaQuest (2023-02 – 2026-07)

• Designed and developed scalable full-stack capabilities for enterprise security operations platforms, helping security teams centralize, investigate, and automate complex cybersecurity workflows.
• Built AI-powered features and intelligent automation workflows that used machine learning and Generative AI capabilities to accelerate security analysis, summarize complex information, and assist analysts with investigation and response activities.
• Developed intelligent agent-style workflows that orchestrated multiple services, APIs, and data sources to automate repetitive security operations and reduce manual analyst effort.
• Designed and implemented backend services using Python and Node.js, exposing REST APIs and scalable service interfaces for enterprise applications and security integrations.
• Developed modern React and TypeScript applications that transformed complex security data into intuitive dashboards, investigation workflows, alerts, and actionable insights.
• Integrated LLM and AI/ML services into application workflows, implementing prompt-driven processing, structured outputs, context management, and safeguards for reliable enterprise AI experiences.
• Designed data-processing workflows that collected and normalized information from multiple security products and external systems, enabling unified analysis across heterogeneous data sources.
• Implemented secure application architecture with strong attention to authentication, authorization, data protection, service reliability, and enterprise security requirements.
• Led technical design discussions, code reviews, architectural decisions, and collaborative development while mentoring engineers and helping establish scalable engineering practices.
• Worked closely with product managers, security experts, QA engineers, and other stakeholders to translate complex security requirements into production-ready AI-enabled software solutions.

Senior Software Engineer at ModMed (2020-10 – 2023-01)

• Developed full-stack healthcare applications supporting clinical, administrative, and practice-management workflows, helping healthcare organizations streamline patient care and operational processes.
• Designed and implemented AI-powered application capabilities to automate repetitive healthcare workflows, assist users with information discovery, and improve productivity across complex business processes.
• Integrated Generative AI and LLM capabilities into enterprise healthcare applications, developing intelligent workflows for natural-language interaction, information extraction, summarization, and decision support.
• Built Python and Node.js backend services and REST APIs supporting secure communication between frontend applications, healthcare workflows, and distributed enterprise systems.
• Developed modern React and TypeScript interfaces for complex clinical and administrative workflows, emphasizing usability, performance, accessibility, and maintainability.
• Designed data models and backend services for applications handling complex healthcare information, with strong attention to data integrity, privacy, security, and regulatory requirements.
• Implemented AI-assisted automation pipelines that transformed unstructured information into structured application data and actionable workflow results.
• Developed automated unit, integration, and API tests to validate critical application behavior and reduce regressions across healthcare workflows.
• Contributed to cloud-based application architecture, containerized deployments, CI/CD pipelines, monitoring, and production support for highly available enterprise healthcare systems.
• Provided technical leadership across architecture, AI integration, code reviews, mentoring, and cross-functional collaboration while working closely with healthcare-domain stakeholders to deliver reliable software.

Software Engineer II at Magic Leap (2018-04 – 2020-08)

• Designed and developed software for spatial computing platforms, creating scalable applications and services supporting immersive experiences and next-generation computing workflows.
• Integrated AI and machine learning capabilities into application workflows to enable intelligent perception, automation, contextual understanding, and more natural user interactions.
• Developed full-stack applications using TypeScript, JavaScript, Python, and modern web technologies to support internal platforms, developer workflows, and application experiences.
• Built backend services and REST APIs that connected applications with distributed platform services, data-processing components, and external integrations.
• Developed intelligent automation workflows that processed application and spatial data to generate actionable insights and reduce repetitive engineering and operational tasks.
• Worked with AI/ML services and model APIs to prototype and productionize intelligent features, evaluating model outputs and improving reliability through validation and application-level safeguards.
• Designed React and TypeScript interfaces with reusable components and responsive workflows for complex technical applications and developer-facing tools.
• Developed high-performance data-processing and integration workflows supporting applications that required reliable communication between multiple software and platform components.
• Implemented automated testing, debugging, performance optimization, and CI/CD practices to improve the reliability and maintainability of production software.
• Collaborated with engineers, product managers, researchers, designers, and technical stakeholders to define architecture, evaluate emerging technologies, and deliver innovative software products.

Software Engineer at Florida Blue (2013-01 – 2018-03)

• Designed and developed full-stack healthcare applications supporting member enrollment, benefits management, claims-related workflows, provider information, and digital health experiences for Florida Blue customers.
• Built modern web applications that enabled members to manage health plans, review benefits, access healthcare resources, and interact with personalized health and wellness services.
• Developed backend services and RESTful APIs supporting insurance eligibility, enrollment, benefits, provider, and member-management workflows across distributed healthcare systems.
• Implemented AI-powered capabilities to automate healthcare workflows, intelligently process member and claims-related information, and provide personalized insights and recommendations to improve customer experiences.
• Integrated Generative AI and LLM services into enterprise applications to support natural-language interactions, information summarization, intelligent search, and workflow automation while applying appropriate validation and security controls.
• Developed React and TypeScript interfaces for complex healthcare workflows, creating reusable components and responsive experiences for members, providers, and internal business users.
• Designed and optimized PostgreSQL and SQL-based data models supporting high-volume healthcare transactions, improving query performance, data integrity, and application scalability.
• Developed data-processing and ETL workflows to integrate information across healthcare, insurance, provider, and member systems, transforming complex data into reliable application and analytics services.
• Implemented automated unit, integration, and API testing for critical healthcare workflows, improving application reliability and reducing regressions across frequent releases.

Bachelor in Computer Science – Florida International University (2008-08 – 2012-09)