08/11/2026 updated
100 % available
Senior AI Engineer & AI Solutions Architect | Agentic AI | LLM | Full-Stack
Cebu City, Philippines
Only remote
Master of Science, University of Central Missouri (2017-2019)JavaScriptApplication Programming Interfaces (APIs)Artificial IntelligencePython (Programming Language)Next.jsSolution ArchitectureTypeScriptReact.jsBackendFastAPIFull Stack DevelopmentFront End Software Development
Agentic AI Architecture & LLM Applications
Expertise in designing and building production-grade Agentic AI systems, LLM applications, and RAG pipelines using frameworks such as LangChain, OpenAI API, Gemini API, and Hugging Face Transformers to automate workflows and deliver intelligent solutions.
Full-Stack AI Application Development
Proficiency in developing full-stack AI-powered applications using Python, C#, TypeScript, React, Node.js, and FastAPI, integrating AI models, APIs, and data-driven automation pipelines into scalable web and backend systems.
Cloud AI Solutions & System Architecture
Strong background in architecting scalable cloud-based AI solutions on AWS and Azure, supporting enterprise workflows, system integrations, and large-scale data processing with a focus on reliability and maintainability.
Generative AI & Synthetic Data Generation
Application of Generative AI techniques and synthetic data generation methods to enhance AI model training, improve productivity, and reduce manual engineering effort in enterprise environments.
API Integration & Enterprise Automation
Design and implementation of API-driven solutions and enterprise automation platforms, integrating backend services, automation frameworks, and cloud technologies to streamline complex business processes.
Context Engineering & Autonomous Workflows
Development of autonomous workflow systems and context engineering strategies that enable AI agents to make reliable decisions and execute complex multi-step tasks with minimal human intervention.
Microservices & Distributed Systems
Building scalable distributed applications and microservices using C#, .NET Core, Python, and cloud platforms, including SaaS applications and API-driven solutions for enterprise environments.
CI/CD & Software Engineering Best Practices
Implementation of software engineering best practices including CI/CD pipelines, automated testing, and system optimization to ensure high-quality, maintainable software products.
Expertise in designing and building production-grade Agentic AI systems, LLM applications, and RAG pipelines using frameworks such as LangChain, OpenAI API, Gemini API, and Hugging Face Transformers to automate workflows and deliver intelligent solutions.
Full-Stack AI Application Development
Proficiency in developing full-stack AI-powered applications using Python, C#, TypeScript, React, Node.js, and FastAPI, integrating AI models, APIs, and data-driven automation pipelines into scalable web and backend systems.
Cloud AI Solutions & System Architecture
Strong background in architecting scalable cloud-based AI solutions on AWS and Azure, supporting enterprise workflows, system integrations, and large-scale data processing with a focus on reliability and maintainability.
Generative AI & Synthetic Data Generation
Application of Generative AI techniques and synthetic data generation methods to enhance AI model training, improve productivity, and reduce manual engineering effort in enterprise environments.
API Integration & Enterprise Automation
Design and implementation of API-driven solutions and enterprise automation platforms, integrating backend services, automation frameworks, and cloud technologies to streamline complex business processes.
Context Engineering & Autonomous Workflows
Development of autonomous workflow systems and context engineering strategies that enable AI agents to make reliable decisions and execute complex multi-step tasks with minimal human intervention.
Microservices & Distributed Systems
Building scalable distributed applications and microservices using C#, .NET Core, Python, and cloud platforms, including SaaS applications and API-driven solutions for enterprise environments.
CI/CD & Software Engineering Best Practices
Implementation of software engineering best practices including CI/CD pipelines, automated testing, and system optimization to ensure high-quality, maintainable software products.
Experience
Professional experience5 - 10 years
Freelancer since2018
Languages
EnglishNative speaker
Project history
Designed and developed AI-powered automation solutions combining Generative AI, BIM intelligence, and enterprise software systems. Built intelligent applications using Python, C#, TypeScript, React, Node.js, and cloud platforms. Developed AI-assisted design systems leveraging LLM technologies, computer vision, and automation frameworks. Architected scalable web applications and backend services supporting enterprise workflows, system integrations, and large-scale data processing. Provided technical leadership and mentorship on AI engineering practices and scalable system design.
Led development of enterprise automation platforms using AI, cloud technologies, and full-stack architectures. Designed intelligent workflow systems integrating APIs, backend services, and automation frameworks. Developed health monitoring and fitness coaching applications using Node.js, FastAPI, mobile technologies, and IoT data synchronization. Defined software architecture standards and engineering guidelines. Built internal AI-assisted tools for data analysis, visualization, and workflow automation.
Built scalable distributed applications and microservices using C#, .NET Core, Python, and cloud platforms. Designed high-performance backend systems capable of processing large volumes of data. Developed SaaS applications, automation tools, and API-driven solutions for enterprise environments. Implemented software engineering best practices including CI/CD, testing, and system optimization. Worked with cross-functional teams to deliver reliable and scalable software products.