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Ishu Anand Jaiswal

Senior Engineering Leader at Intuit

San Jose, United States

Ishu Anand Jaiswal is a senior engineering and technology leader with over 18 years of experience building and scaling customer facing platforms at companies such as Apple and Intuit. His work focuses on distributed systems, digital identity, platform engineering, and practical use of AI in real production environments. He is a Senior Member of IEEE and a Fellow of the British Computer Society (BCS), and actively contributes to the global tech community through peer review, judging, and mentorship. Ishu is the author of Building Resilient and Scalable Enterprise Applications and is known for his clear, execution focused approach to building reliable systems. He is passionate about bridging product thinking, engineering discipline, and real world impact to help teams build technology people can trust.

Ishu Anand Jaiswal	Points
Academic	0
Author	2
Influencer	9
Speaker	0
Entrepreneur	0
Total	11

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Intuit

Senior Engineering Leader

Company Type: Enterprise

Business Unit: Intuit

Theatre: United States

Minimum Project Size: $100,000+

Average Hourly Rate: $300+

Number of Employees: 10,001-50,000

Company Founded Date: Undisclosed

Areas of Expertise

Agentic AI

Agile

AI 30.03

AI Ethics

AI Governance

AI Orchestration

Analytics

Architecture

Big Data

Business Strategy

Change Management

Creativity

Cybersecurity

Digital Transformation

Ecosystems

EdTech

Emerging Technology 30.05

Generative AI

Innovation

IT Leadership

Leadership 30.02

Management 30.04

Security

Transportation

Industry Experience

Publications & Experience

2 Article/Blogs

From Rule-Based Caching to Predictive, Learning-Based Systems in Global Content Delivery
AI Frontier Network
December 19, 2025

The article explores how traditional caching strategies in large content delivery networks (CDNs), which rely on simple rule-based policies like least recently used, are no longer sufficient under modern, burst-driven traffic patterns. It explains that these reactive methods lag behind rapidly changing demand and can lead to backend overload. The piece argues for a shift toward predictive, learning-based caching systems that use machine learning to anticipate content demand, proactively place popular content closer to users, and improve performance, reliability, and overall system behavior at global scale.

See publication

Tags: AI, Emerging Technology

The Quiet Revolution: How AI is Reshaping Engineering Management
AI Frontier Network
November 10, 2025

The article “The Quiet Revolution: How AI is Reshaping Engineering Management” explains how artificial intelligence, especially large language models, is transforming the way engineering teams are led and how products are built. It draws on real examples, including integrating AI into a sales enablement platform at Apple, to show how AI can boost engagement and decision making. The piece argues for a pragmatic approach to AI—starting with clear goals, piloting small, and scaling only when there is real impact—while keeping reliability and human judgment central. It also highlights how AI changes team workflows, learning, mentorship, and leadership roles in engineering.

See publication

Tags: AI, Leadership, Management