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Hi, I’m Marcelo Maia, a Senior Full Stack Engineer with 10+ years building scalable SaaS, AI-enabled, and healthcare platforms. I specialize in React, TypeScript, Node.js, Python, and C#/.NET, delivering secure APIs, microservices, and cloud-native applications across frontend, backend, data, and deployment layers. I thrive working with remote teams and navigate regulated environments to improve performance, reliability, and release quality, while enabling AI-driven workflows for operational and clinical teams. I enjoy modernizing legacy systems, collaborating with product, design, and engineering teams, mentoring engineers, and designing maintainable architectures that scale with data-intensive workloads.…Hi, I’m Marcelo Maia, a Senior Full Stack Engineer with 10+ years building scalable SaaS, AI-enabled, and healthcare platforms. I specialize in React, TypeScript, Node.js, Python, and C#/.NET, delivering secure APIs, microservices, and cloud-native applications across frontend, backend, data, and deployment layers. I thrive working with remote teams and navigate regulated environments to improve performance, reliability, and release quality, while enabling AI-driven workflows for operational and clinical teams. I enjoy modernizing legacy systems, collaborating with product, design, and engineering teams, mentoring engineers, and designing maintainable architectures that scale with data-intensive workloads.

Marcelo Maia

Full Stack Developer, Web Developer, Back-End Developer, +2

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Hi, I’m Marcelo Maia, a Senior Full Stack Engineer with 10+ years building scalable SaaS, AI-enabled, and healthcare platforms. I specialize in React, TypeScript, Node.js, Python, and C#/.NET, delivering secure APIs, microservices, and cloud-native applications across frontend, backend, data, and deployment layers. I thrive working with remote teams and navigate regulated environments to improve performance, reliability, and release quality, while enabling AI-driven workflows for operational and clinical teams. I enjoy modernizing legacy systems, collaborating with product, design, and engineering teams, mentoring engineers, and designing maintainable architectures that scale with data-intensive workloads.…Hi, I’m Marcelo Maia, a Senior Full Stack Engineer with 10+ years building scalable SaaS, AI-enabled, and healthcare platforms. I specialize in React, TypeScript, Node.js, Python, and C#/.NET, delivering secure APIs, microservices, and cloud-native applications across frontend, backend, data, and deployment layers. I thrive working with remote teams and navigate regulated environments to improve performance, reliability, and release quality, while enabling AI-driven workflows for operational and clinical teams. I enjoy modernizing legacy systems, collaborating with product, design, and engineering teams, mentoring engineers, and designing maintainable architectures that scale with data-intensive workloads.

Available to hire

Hi, I’m Marcelo Maia, a Senior Full Stack Engineer with 10+ years building scalable SaaS, AI-enabled, and healthcare platforms. I specialize in React, TypeScript, Node.js, Python, and C#/.NET, delivering secure APIs, microservices, and cloud-native applications across frontend, backend, data, and deployment layers. I thrive working with remote teams and navigate regulated environments to improve performance, reliability, and release quality, while enabling AI-driven workflows for operational and clinical teams.

I enjoy modernizing legacy systems, collaborating with product, design, and engineering teams, mentoring engineers, and designing maintainable architectures that scale with data-intensive workloads.

Skills

Experience Level

Expert

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Language

Portuguese

Fluent

English

Advanced

Work Experience

Senior Software Engineer at DarwinAI Canada

February 1, 2022 - Present

Re-architected an underperforming AI workflow using React, TypeScript, Node.js, Python, PostgreSQL, Redis, and Docker, reducing end-to-end processing time from 14 minutes to 4 minutes and improving workflow completion rates by 32%. Designed and built Node.js, Python, and Redis microservices for inference and review pipelines, increasing concurrent user capacity from 15,000 to 180,000+ users during peak usage. Developed Python- and LLM-based classification and decision-support services, reducing manual review effort by 29% and improving triage accuracy by 21%. Built React and TypeScript operational interfaces that reduced case-handling time from 38 minutes to 11 minutes and improved internal workflow completion speed by 24%. Developed C#/.NET Core orchestration services and ASP.NET Core APIs for internal AI workflows, reducing service-to-service processing bottlenecks by 27% and improving backend stability. Improved release quality through Docker, CI/CD, integration testing, and validat

Software Engineer at Cityblock Health

January 1, 2019 - February 1, 2022

Built full-stack healthcare workflows using React, TypeScript, Node.js, Python, and PostgreSQL, reducing internal task completion time by 24% across care operations teams. Designed and maintained secure backend APIs for healthcare workflows, increasing daily record-processing capacity from 28,000 to 115,000 transactions while improving service reliability. Improved frontend responsiveness for complex internal tools using React and TypeScript, cutting average page load time from 3.9 seconds to 1.7 seconds. Developed Node.js and Python automation services for care coordination workflows, reducing repetitive manual handling by 33% for operations teams. Built C#/.NET Core backend services and ASP.NET Core APIs for internal healthcare tooling, improving data exchange reliability by 25% and simplifying cross-team support workflows. Strengthened testing, debugging, and release practices across core product workflows, reducing production regressions by 22% and improving deployment confidence.

Software Engineer at Pixeon

July 1, 2014 - December 31, 2018

Developed and maintained healthcare platform features using JavaScript, jQuery, Bootstrap, Java, and relational databases, improving workflow efficiency for operational and clinical users. Built backend modules and data-processing services using Java and SQL-based systems, supporting growing volumes of operational and clinical data. Implemented reporting and admin features for internal teams, reducing the time required to prepare recurring reports and operational summaries. Worked on database-driven workflows and operational tools, helping reduce manual data-entry errors across recurring internal processes.