Denis Mutwiri

Innovative and results-oriented Principal Software Engineer with 14+ years of experience in high-performance software development, artificial intelligence, and scalable system architecture. Holds a Ph.D. in Software Engineering, with advanced research and hands-on application in AI/ML, distributed computing, and enterprise cloud systems. Currently leading core AI architecture and deployment strategies at Quanata, delivering state-of-the-art solutions across industries including healthcare, logistics, and finance.

Deep expertise in training machine learning models, deploying AI pipelines, and designing robust software for critical applications. Proven leadership in both research and product-driven environments.

Principal Software Engineer at Quanata (2021-01 – Present)

Quanata is a leading AI-driven enterprise platform company specializing in intelligent automation, predictive systems, and cognitive services across healthcare, finance, logistics, and energy sectors.

• Led the architecture and deployment of high-scale AI/ML solutions used by Fortune 500 clients.
• Designed and implemented a proprietary ML pipeline that reduced model training time by 50% and improved inference accuracy by 23%.
• Directed end-to-end MLOps infrastructure using KubeFlow, MLflow, and Seldon, achieving CI/CD integration for AI models.
• Spearheaded multimodal data processing platform combining text, image, and tabular data sources for advanced predictive analytics.
• Championed cross-functional team collaboration involving software engineers, data scientists, and product leads to deliver AI systems under tight deadlines.
• Co-led internal initiatives on AI ethics, model explainability, and data privacy governance.

Lead AI Engineer at IBM Research – Watson Division (2016-01 – 2021-12)

• Architected and deployed AI models within IBM Watson for natural language understanding and sentiment analysis.
• Directed a 10-person team building end-to-end NLP solutions for legal, medical, and enterprise document classification.
• Developed large-scale distributed training solutions using PyTorch and TensorFlow, optimized for IBM Cloud.
• Delivered client-specific solutions for financial institutions and health organizations with 99.9% system uptime.
• Improved model interpretability using SHAP and LIME techniques.
• Contributed to 3 major patents and 2 publications related to AI deployment strategies.

Senior Software Developer at Amazon Web Services (AWS) (2013-01 – 2016-12)

• Built and maintained mission-critical services for AWS Lambda, API Gateway, and Amazon CloudWatch.
• Designed secure RESTful APIs handling millions of requests daily.
• Implemented fault-tolerant distributed systems improving system SLA to 99.99%.
• Migrated legacy monolithic systems to microservices architecture.
• Automated deployment pipelines using Terraform, Jenkins, and AWS CodePipeline.

Software Engineer at Oracle Corporation (2011-01 – 2013-12)

• Contributed to the backend of Oracle Cloud Infrastructure (OCI).
• Developed Java-based modules for high-performance data ingestion and analytics.
• Collaborated on implementing AI-enhanced indexing for enterprise databases.
• Increased system query efficiency by 45% using AI-driven optimization techniques.
• Reduced memory usage in data-intensive workflows by 30% through codebase optimization.

Ph.D. in Software Engineering – University of California, Berkeley (2007-01 – 2011-12)

M.Sc. in Computer Science – Massachusetts Institute of Technology (MIT) (2005-01 – 2007-12)

B.Sc. in Computer Science – University of Washington (2001-01 – 2005-12)