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 AI on software engineering through two perspectives - first, agentic software engineering and second, building agentic applications using 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, AI Gateways, AI-native software software engineering, future of software engineering 2030, market for software supply chain security, Magic Quadrant for DevOps Platforms (2023) and Hype Cycle for Platform Engineering (2024).

Previous experience

Mr. Bhat holds 10 patents granted by the USPTO in the domain of mobile security. He architected and designed mobile security solutions in his previous position as 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

VMware, Director, R&D, 5 years

Manhattan Associates Inc., Senior Manager, Design of Warehouse Automation Software, 8 years

Areas of coverage
  • AI Solutions for Software Engineering Management​

  • Application Cybersecurity

  • Software Delivery Management​

  • Software Engineering for Technical Professionals

Education

Master's Degree, Software Systems

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Top Issues That I Help Clients Address

01

How to scale the delivery of intelligent, generative AI applications

02

How to use Generative AI to augment the complete software development life cycle

03

How to build and test AI applications using AI application development platforms and AI Agent Builders

04

How to optimize AI cost and improve reliability using AI gateways and model routers

05

How to secure your software supply chain against open source risks