
Roel Rex Yabut
@roelrexyabut
I build reliable backend, data, and AI systems that improve enterprise products and operations.
What I'm looking for
At Mphasis, I build production backend and AI systems for healthcare, financial services, and internal enterprise platforms. My work spans APIs, data processing, integrations, cloud infrastructure, and user-facing operational tools.
I've improved response times by 47% while maintaining 99.9% availability, and built terabyte-scale integration workflows that increased throughput by 32%. I also developed document-processing systems that reduced manual review by 38% and achieved 94% accuracy on targeted structured fields.
I build retrieval-based and agent-powered enterprise applications, including conversational search, document retrieval, decision support, and workflows that connect natural-language interfaces to databases and business tools. These systems improved answer accuracy by 23% and reduced retrieval latency by 43%.
Previously at Nike, I delivered manufacturing, supply-chain, retail, and athlete-facing software, including predictive-maintenance, computer-vision, recommendation, and data-pipeline capabilities. I enjoy owning systems from design through deployment, monitoring, and production support.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer, AI Systems
Mphasis
Feb 2021 - Present (5 years 8 months)
Designed and delivered production software for enterprise applications across healthcare, financial services, and internal business platforms, focusing on backend services, APIs, data processing, and cloud infrastructure. Built AI-assisted workflows and retrieval-based applications, improving response times by 47% and answer accuracy by 23%.
Built production software and analytics capabilities supporting manufacturing, supply-chain, retail, and athlete-facing applications. Developed real-time monitoring, predictive maintenance, and computer-vision quality inspection, reducing equipment downtime by 25% and improving defect-detection accuracy by 12%.
Built data-driven product features for Nike's digital platforms, including personalized training and recommendation capabilities that contributed to a 20% increase in user engagement. Developed scalable data pipelines and systems for processing athlete feedback and activity data, reducing processing latency by 40%.
Education
Degrees, certifications, and relevant coursework
Coleman University
Master of Science, Computer Science
2015 - 2016
Pursued a Master of Science in Computer Science, focusing on advanced topics in computing.
Coleman University
Bachelor of Science, Computer Science
2012 - 2015
Earned a Bachelor of Science in Computer Science, building a strong foundation in software development and computer systems.
Availability
Location
Authorized to work in
Salary expectations
Social media
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