I am a Senior Full Stack & AI Engineer with over 6 years of experience designing and building scalable, high-performance applications powered by modern web technologies and artificial intelligence. My expertise spans React.js, Vue.js, Node.js, Python, and PHP, enabling me to deliver end-to-end solutions across the full software development lifecycle—from system architecture and backend services to intuitive frontend experiences and cloud-native deployments. In addition to full stack development, I specialize in integrating AI into real-world products. I have experience developing AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, generative AI, and machine learning frameworks such as PyTorch and Hugging Face. I have built intelligent automation solutions, conversational AI systems, document processing pipelines, recommendation engines, and AI-driven workflows using OpenAI APIs, vector databases, FastAPI, and modern MLOps practices. My technical expertise includes JavaScript, TypeScript, RESTful APIs, GraphQL, SQL and NoSQL databases, server-side rendering (SSR), AWS, Docker, Kubernetes, CI/CD automation, and automated testing with Jest. I am passionate about writing clean, maintainable code, optimizing system performance, and designing scalable architectures that combine robust engineering with AI-driven capabilities. I thrive in collaborative environments where I can mentor developers, conduct code reviews, and work closely with cross-functional teams to deliver innovative, high-quality software. I enjoy solving complex technical challenges, continuously learning emerging AI technologies, and building intelligent products that create meaningful value for businesses and users alike.

Kevin Green

PRO

I am a Senior Full Stack & AI Engineer with over 6 years of experience designing and building scalable, high-performance applications powered by modern web technologies and artificial intelligence. My expertise spans React.js, Vue.js, Node.js, Python, and PHP, enabling me to deliver end-to-end solutions across the full software development lifecycle—from system architecture and backend services to intuitive frontend experiences and cloud-native deployments. In addition to full stack development, I specialize in integrating AI into real-world products. I have experience developing AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, generative AI, and machine learning frameworks such as PyTorch and Hugging Face. I have built intelligent automation solutions, conversational AI systems, document processing pipelines, recommendation engines, and AI-driven workflows using OpenAI APIs, vector databases, FastAPI, and modern MLOps practices. My technical expertise includes JavaScript, TypeScript, RESTful APIs, GraphQL, SQL and NoSQL databases, server-side rendering (SSR), AWS, Docker, Kubernetes, CI/CD automation, and automated testing with Jest. I am passionate about writing clean, maintainable code, optimizing system performance, and designing scalable architectures that combine robust engineering with AI-driven capabilities. I thrive in collaborative environments where I can mentor developers, conduct code reviews, and work closely with cross-functional teams to deliver innovative, high-quality software. I enjoy solving complex technical challenges, continuously learning emerging AI technologies, and building intelligent products that create meaningful value for businesses and users alike.

Available to hire

I am a Senior Full Stack & AI Engineer with over 6 years of experience designing and building scalable, high-performance applications powered by modern web technologies and artificial intelligence. My expertise spans React.js, Vue.js, Node.js, Python, and PHP, enabling me to deliver end-to-end solutions across the full software development lifecycle—from system architecture and backend services to intuitive frontend experiences and cloud-native deployments.

In addition to full stack development, I specialize in integrating AI into real-world products. I have experience developing AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, generative AI, and machine learning frameworks such as PyTorch and Hugging Face. I have built intelligent automation solutions, conversational AI systems, document processing pipelines, recommendation engines, and AI-driven workflows using OpenAI APIs, vector databases, FastAPI, and modern MLOps practices.

My technical expertise includes JavaScript, TypeScript, RESTful APIs, GraphQL, SQL and NoSQL databases, server-side rendering (SSR), AWS, Docker, Kubernetes, CI/CD automation, and automated testing with Jest. I am passionate about writing clean, maintainable code, optimizing system performance, and designing scalable architectures that combine robust engineering with AI-driven capabilities.

I thrive in collaborative environments where I can mentor developers, conduct code reviews, and work closely with cross-functional teams to deliver innovative, high-quality software. I enjoy solving complex technical challenges, continuously learning emerging AI technologies, and building intelligent products that create meaningful value for businesses and users alike.

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Language

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Work Experience

Backend Engineer at Clinical Research IO (CRIO)
May 10, 2025 - June 2, 2026
- Investigated and resolved production issues by analyzing logs and metrics for Node.js and services running on Google Cloud Platform, improving reliability of cloud-based web applications for clinical trial sites. - Used BigQuery and SQL to query and analyze large datasets, supporting backend data processing and operational reporting across high-traffic research workflows. - Monitored platform performance and error rates through Looker dashboards and GCP monitoring tools, helping maintain high availability and responsiveness for end users. - Debugged and inspected containerized backend services running in Kubernetes with kubectl, ensuring stable deployments of distributed microservices architectures. - Collaborated with cross-functional engineering teams to optimize backend APIs and database queries, enhancing overall performance and scalability of the platform.
Full- stack Developer at ZeOrbit
October 31, 2023 - October 31, 2024
- Built responsive and scalable web applications with React.js and TypeScript consuming Node.js RESTful APIs, improving delivery speed by 20% and supporting high-performance user experiences. - Integrated blockchain functionality using Solidity and Web3.js into JavaScript front-end workflows with backend services running on AWS infrastructure. - Refactored front-end codebases using TypeScript, React.js, and modern JavaScript best practices, reducing technical debt by 25% and improving maintainability. - Launched CI/CD pipelines for front-end and Node.js applications using Jenkins, Docker, and AWS to support reliable cloud deployments.
Back- end Developer at AFTIA Solutions
March 31, 2022 - August 31, 2023
Crafted resilient backend solutions with PHP using Laravel and Symfony, optimizing APIs for JavaScript/TypeScript clients and reducing onboarding time for front-end developers by 30%. Improved database performance for MySQL and PostgreSQL, resulting in a 20% improvement in system responsiveness for high-traffic applications. Deployed backend applications on Kubernetes and AWS Lambda using Docker containers to support a microservices architecture with 99.9% uptime and reliable CI/CD workflows. Modernized legacy LAMP-style services into cloud-native backends while maintaining compatibility with existing PHP code.

Education

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Industry Experience

Software & Internet, Healthcare, Professional Services, Computers & Electronics, Travel & Hospitality