Rohan Krishna

I design and operationalise AI governance frameworks for high stakes AI systems, focusing on validation, transparency, lifecycle control and risk management in regulated domains including security, fintech and lending.

Rohan specialises in AI governance for safety critical and regulated systems, where reliability, transparency and accountability shape adoption. His work includes designing governance frameworks for cargo inspection AI at Rapiscan Systems, benchmarking approaches from aviation, healthcare and financial services and translating them into actionable controls. He defines validation workflows, model documentation standards, risk tiering structures, monitoring routines and human in the loop processes that help organisations demonstrate the trustworthiness of their AI systems.

His approach focuses on making governance usable for product, engineering, compliance and procurement teams through structured playbooks, lifecycle checkpoints and evidence requirements that support both delivery velocity and regulatory readiness.

I lead technical product strategy and architecture for AI and data intensive platforms, combining product insight, system design and delivery rigour to ship scalable products in fintech, lending and enterprise SaaS.

Rohan brings together technical product management and distributed systems architecture, defining roadmaps, service boundaries and engineering patterns for data intensive and AI driven platforms. His experience spans real time portfolio monitoring engines, content intelligence networks, lending decision systems and workflow automation tools. At Magnifi, he led architecture for an AI driven analytics engine that reduced market analysis time by 83 percent and improved accuracy by 22 percent, while also shaping a distributed content intelligence CDN and global analytics pipeline.

He works closely with engineering, data science, design and business stakeholders to align feasibility with product strategy. His frameworks ensure AI and data features are grounded in performance, scalability, compliance requirements and measurable outcomes, creating systems that support long term product evolution.

I bring MBA level strategy, pricing and go to market experience into technical leadership, aligning engineering, finance, operations and product teams through structured decision making frameworks.

Rohan is a full time MBA candidate at Alliance Manchester Business School, specialising in Fintech, AI governance and product leadership. He has delivered consulting work in pricing, revenue optimisation, financial modelling, demand analysis and campaign design for organisations such as Halle Venues and Sigil Games. These projects translate strategic goals into operational and commercial plans that can be executed by cross functional teams.

He has led teams of 40+ people across engineering, design and data, and is experienced in facilitating discussions with C level stakeholders. His leadership style connects strategy, architecture and product delivery, ensuring technology initiatives align with financial, regulatory and market realities.