Amit Aggarwal

About Amit Aggarwal

I am an engineering leader with ~20 years of experience building scaling systems, cloud-native platforms, and applied AI solutions across storage, telecom, and creative technology domains.Currently, I lead a 18+ member engineering organization (with Engineering Managers) within the AI/ML Foundation group at Adobe. My team drives applied AI and cloud platform initiatives powering Adobe Express.Most recently, I led engineering for Express AI Assistant (Beta) — a production-grade, cloud-native AI service integrating server-side ML models into scalable product workflows. This initiative required cross-geo coordination, executive alignment, and disciplined execution aligned with major product milestones.Prior to this, I built and scaled the Video Export & Rendition platform for Adobe Express — a distributed, server-side video processing architecture designed for extensibility and reuse across multiple product surfaces.Earlier at Adobe, I led the XD Cloud Document foundation, architecting the distributed backend infrastructure enabling document creation, persistence (CRUD), and real-time collaboration at scale. I also led the Wayfinding initiative within XD’s co-editing stack — advancing collaborative presence and coordination mechanisms in multi-user environments. This work resulted in patented innovations, including:• Reducing Network Bandwidth for Remote Content Display – US 20•••••••34 A1• Collaborative multi-user coordination and presence systems (Adobe)Prior to Adobe, I spent five years at NetApp working on distributed storage systems within the CIFS protocol division. My work focused on secure data access, clustered storage architectures, and efficient version management in large-scale environments. My innovations during this period resulted in multiple patents, including:• Secure access-based enumeration of a junction or mount point on a clustered server – US 9,152,776 B2• Methods for managing a request to list previous versions of an object and devices thereof – US 20•••••••70 A1• Storage-level access control mechanisms for data grouping structuresEarlier in my career, I worked at Nokia and Motorola, contributing to large-scale telecom and networking systems and strengthening my foundation in system design and distributed architectures.Across my journey, I have consistently operated at the intersection of deep technical systems thinking, platform architecture, applied AI integration, and multi-layer engineering leadership — evolving from distributed systems engineer to leading organizations delivering scalable AI-powered cloud platforms.

Experience

1. Senior Engineering Manager

   Adobe

   Feb 2023 — Present

   Leading around ~18 members engineering organization (including EMs) within the AI/ML Foundation group, driving applied AI and cloud platform initiatives powering Adobe Express.Leading end-to-end engineering delivery of Express AI Assistant (Beta) — a cloud-native applied AI platform launched in alignment with Adobe MAX 2025.Built and scaled server-side AI services running ML models in production-grade cloud environments.Drove cross-geo execution from India with executive-level visibility and milestone-driven delivery.Partnered with Product, Research, and senior leadership to convert AI innovation into scalable production systems.Received executive recognition for delivering high-impact AI platform under aggressive timelines.Previously:Owned and scaled the Video Export & Rendition Platform for Adobe Express.Architected cloud-based distributed video processing pipelines for server-side rendering and export.Designed reusable service infrastructure now leveraged across multiple product surfaces.Established reliability, performance, and scalability standards for media processing at scale.Tech Focus:Cloud-native microservices, scalable inference infra, AI service orchestration, containerized deployments, backend platform engineering, video processing pipelines.Ex: YouTube -

Education

• GLA Institue and Technology (U.P.T.U.)

  B.Tech, Computer Science

  2000 — 2004

• J. V. Inter College

  12th, Science

  1997 — 1999

• Delhi College of Engineering

  M.E., Computer Science

  2004 — 2006

Skills

• Nas
• Mobile Devices
• Qt
• Symbian
• C
• Programming
• File Systems
• Snapshot
• Unix
• Linux
• Access Lists
• Meego
• Cloud Computing
• Sockets
• Gps
• Cluster Development
• Distributed Systems
• Storage
• Operating Systems
• Access Control
• C++
• Agile Methodologies
• Design Patterns
• Storage Virtualization
• Network Security
• Network Protocol Design
• Algorithms
• Data Ontap
• Shell Scripting
• Embedded Systems
• Software Engineering
• Java
• Software Development
• Python
• Scrum
• Conditional Access