Disleve Kanku
Founder & CEO, OncoSys AI | Trustworthy Healthcare AI Infrastructure
Boston, Massachusetts, United States
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Disleve Kanku is a software engineer and the founder of OncoSys AI, where he focuses on trustworthy healthcare AI infrastructure. His work spans data engineering, governance, lineage, auditability, and production controls for AI-enabled systems. He builds practical workflows that help teams move from fragmented data and prototypes toward systems whose inputs, actions, and human approvals can be examined and defended.
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Building Trustworthy AI Agents: From Prototype to Production
As AI agents move from prototypes to production, developers face a growing challenge: reliability and trust. It’s no longer enough for an agent to work, it must be transparent, auditable, and resilient.
In this talk, Disleve Kanku (AI Engineer at Dana Farber Cancer Institute & Founder of Blueprint Intel) unpacks the technical and cultural frameworks behind building trustworthy AI systems. He’ll walk through the architecture of agentic pipelines, from real-time feedback loops and event-driven orchestration to automated validation and continuous monitoring and show how developers can embed “trust layers” directly into their codebase.
You’ll learn how to design for explainability, align agents with human intent, and create reproducible deployment practices that scale safely across domains. Whether you’re an MLOps engineer or a startup developer exploring GPT-based automation, you’ll leave with a practical blueprint for building AI that both works and earns trust.
Bridging AI Ethics and Developer Reality: Building Tools That Heal, Not Just Scale
Most developers don’t set out to harm, but today’s AI systems can amplify bias, misrepresent data, or automate decisions without accountability. The solution isn’t just regulation; it’s responsibility by design.
In this inspiring yet practical talk, TEDxBoston speaker and AI engineer Disleve Kanku explores how developers can align code with conscience. Drawing lessons from his work at Dana-Farber Cancer Institute. Disleve introduces a new framework for ethical AI development that moves beyond compliance, focusing on context, community, and care.
He’ll share examples of how AI can serve as a healing force: from trust layers that ensure transparency to civic applications that restore public confidence in automation. Developers will walk away with a blueprint for integrating ethical reflection into every sprint without slowing down innovation.
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