Princewill Chioma
@princewillchioma
AI Systems Engineer and Full Stack AI Developer building production RAG and agentic applications.
What I'm looking for
I’m an AI Systems Engineer and Full Stack AI Developer who builds production AI applications, cloud-native backend services, and modern web apps. I design and deploy AI-powered solutions with Python and FastAPI, using AWS Bedrock and autonomous agents for real-world workflows.
In my current role, I built RAG-powered knowledge systems that integrate enterprise documents and APIs to improve information retrieval, and I automate operational pipelines end to end. I’ve also helped shape scalable AI architecture using Docker and production infrastructure patterns.
Previously, as a Software Engineer, I delivered 5+ production full-stack applications and improved API performance by 40% through asynchronous programming, caching, and query optimization. I’ve also reduced deployment time by 50% using Docker, GitHub Actions, CI/CD, and AWS, and I enjoy shipping full-stack AI experiences like fraud detection with autonomous multi-agent RAG workflows.
Experience
Work history, roles, and key accomplishments
AI Engineer
Stardom Financial Services Limited
Sep 2024 - Present (1 year 10 months)
Designed and deployed AI-powered applications using Python, FastAPI, AWS Bedrock, and autonomous agents for financial monitoring and workflow automation. Built RAG-powered knowledge systems and end-to-end automation pipelines using n8n and multiple communication/automation tools.
Software Engineer
Extreme Tech Services Ltd
Mar 2021 - Aug 2024 (3 years 5 months)
Built and maintained 5+ production full-stack applications using Python, FastAPI, Next.js, TypeScript, PostgreSQL, and AWS. Improved API performance by 40% using asynchronous programming, caching, and query optimization, and reduced deployment time by 50% using Docker and CI/CD pipelines.
Education
Degrees, certifications, and relevant coursework
University of the People
Bachelor of Science, Computer Science
Completed a Bachelor of Science in Computer Science at University of the People.
Udemy
Professional AI Training, Artificial Intelligence (LLM Engineering)
Advanced AI Engineering training covering LLM engineering, RAG, QLoRA, AI agents, and MLOps topics including AWS/Terraform and CI/CD.
Availability
Location
Authorized to work in
Job categories
Skills
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