I optimize cloud systems for scale.

VP of Engineering at Elastio with nearly two decades of experience in cloud computing and distributed systems. I build resilient architectures that scale gracefully.

Anshuman Biswas

About

I serve as Vice President of Engineering at Elastio, where I lead the development of cutting-edge cloud-native data protection and recovery solutions. For nearly two decades, I have specialized in cloud computing and distributed systems, with recent emphasis on leveraging AI to transform engineering methodologies.

My expertise centers on designing scalable and resilient architectures that enable organizations to safeguard their data and ensure rapid recovery from disruptions. I hold a Ph.D. in Computer Science from Carleton University, where my research focused on machine learning approaches for cloud performance optimization. This academic foundation continues to shape my approach to complex technical challenges.

At Elastio, I am committed to building world-class engineering teams while advancing the frontiers of AI integration. We are implementing custom models within our platform to enhance threat detection, streamline workflows, and accelerate recovery processes across cloud environments. This work represents a significant advancement in enterprise data protection, and I take pride in our collective achievements.

Career Journey

A chronological timeline of my professional experience

VP of Engineering

Elastio

2025 - Present

Leading engineering teams in building next-generation data protection and recovery solutions for cloud-native applications.

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Sr. Software Engineering Manager

Veeva

2024 - 2025

Developed enterprise software solutions for life sciences industry, focusing on cloud-native applications and data management.

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Sr. Software Engineering Manager

Turbonomic, an IBM Company

2017 - 2024

Worked on AI-powered application resource management platform, focusing on cloud optimization and distributed systems.

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Software Engineer

Trend Micro

2016 - 2017

Developed cybersecurity solutions and cloud security products, focusing on threat detection and prevention systems.

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CTO & Co-Founder

Nearest

2012 - 2014

Developed location-based mobile applications and services, working on geolocation algorithms and mobile app development.

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Ph.D. in Computer Engineering

Carleton University

2011 - 2019

Conducted research in cloud middleware performance optimization using machine learning techniques. Dissertation focused on improving cloud system efficiency and scalability.

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Recent Writing

Get In Touch

Interested in collaborating on cloud infrastructure, distributed systems, or machine learning projects? I'd love to hear from you.