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Gartner Expert
Manjunath Bhat
Distinguished VP Analyst
Manjunath (Manju) Bhat is a Distinguished Research VP and Gartner Fellow in the software engineering practice based in Sydney. He covers technologies and practices that span software engineering, AI engineering, security engineering and platform engineering. Manju views the impact of Generative AI on software engineering through two perspectives - building intelligent DevSecOps pipelines for zero-friction software delivery and building intelligent applications and the agent development life cycle. He has led foundational work and launched new markets and hype cycles - examples include Eval-driven development, AI evaluations and observability platforms, optimizing costs and reliability using AI Gateways, AI-native software software engineering, future of software engineering 2030, market guide for software supply chain security, Magic Quadrant for DevOps Platforms (2023) and Hype Cycle for Platform Engineering (2024).
Previous experience
Mr. Bhat architected and designed mobile security and the AirWatch unified endpoint management solution in his previous position. He was the head of engineering at AirWatch by VMware India Technologies. He joined the company as the first employee and built the R&D organization from the ground up. His expertise includes building scalable,fault-tolerant,load-balanced, high volume, mission-critical transactional systems. He Was responsible for the technical architecture of warehouse automation software that powered one of the world's biggest warehouses in North America.
Professional background
Manhattan Associates Inc., Senior Manager, Design of Warehouse Automation Software, 8 years
VMware, Director, R&D, 5 years
Areas of coverage
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Software Engineering Technologies
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Security of Applications and Data
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Software Engineering for Technical Professionals
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Software Engineering Practices
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Build a World-Class Software Engineering Organization
Education
Master's Degree, Software Systems
Top Issues That I Help Clients Address
How to scale the delivery of intelligent, generative AI applications
How to use Generative AI to augment the complete software development life cycle
How to build and test AI applications using AI application development platforms and AI Agent Builders
How to optimize AI cost and improve reliability using AI gateways and model routers
How to secure your software supply chain against open source risks