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cliffordklent sayson

@cliffordklentsayson

Senior full-stack and AI engineer designing scalable SaaS and LLM-powered applications with cloud-native architectures.

Philippines
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What I'm looking for

I’m looking to build production-grade cloud-native products—scalable microservices, high-performance APIs, and LLM-powered automation (RAG, AI workflows)—with strong engineering ownership, technical leadership, and fast iteration cycles for measurable business impact.

I’m a Senior FullStack&AIEngineer with 8+ years of experience designing and building scalable SaaS platforms, AI-powered applications, and enterprise software for global teams and US-based clients. I specialize in Python (FastAPI, Django), modern frontend development (React, Next.js), and cloud-native engineering (AWS, Kubernetes), with a strong focus on system architecture, DevOps, and CI/CD automation.

In my recent role, I led development of scalable AI-powered applications, building distributed backends, RESTful APIs, and microservices for enterprise-scale workloads and real-time processing. I integrated LLM workflows—RAG pipelines and AI automations—using OpenAI APIs and LangChain, and deployed and maintained production infrastructure on AWS with Docker, Kubernetes, Terraform, and GitHub Actions. I also optimized scalability and reduced API latency by 40% through query optimization and Redis caching.

Earlier, I built full stack web applications and backend services that improved performance and reliability while maintaining CI/CD pipelines and containerized deployment workflows. I’ve delivered real outcomes across projects, from a real-time trading analytics dashboard to an AI customer support platform that reduced manual workload by 60%, and an AI document processing and comparison system leveraging OCR and LLM-based pipelines.

Experience

Work history, roles, and key accomplishments

AN

Senior Full Stack & AI Engineer

Andela

Jan 2022 - Mar 2026 (4 years 2 months)

Led development of scalable AI-powered applications using Python, FastAPI, React, Next.js, and cloud-native architectures, integrating LLM workflows and RAG pipelines with OpenAI and LangChain. Reduced API latency by 40% through query optimization and Redis caching while deploying and maintaining production AWS infrastructure with Docker, Kubernetes, and CI/CD.

TU

Full Stack Engineer

Turing

Jun 2019 - Dec 2021 (2 years 6 months)

Developed scalable full stack web applications using React, TypeScript, Node.js, and Python, building responsive frontend platforms and backend services for large-scale customer-facing workloads. Improved frontend rendering performance by 35% through component optimization and state management, and maintained CI/CD pipelines across Docker and Kubernetes deployments.

SI

Software Engineer (Backend)

Spectral Technologies Inc

Jun 2018 - May 2019 (11 months)

Built enterprise backend systems and scalable web applications using Python, Django, JavaScript, Java, and .NET, including FastAPI microservices handling 2M+ API requests daily with sub-200ms response times. Designed SQL/NoSQL database schemas, implemented OAuth/JWT authentication, and supported production deployments in agile delivery cycles.

Education

Degrees, certifications, and relevant coursework

National University of Singapore logoNS

National University of Singapore

Bachelor of Science, Computer Software Engineering

2018 -

Pursuing a Bachelor of Science in Computer Software Engineering at the National University of Singapore starting in 2018.

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