Feb 2022 – Present · 4 yrs 4 mos · Noida

• Summary:
• Leading the technical charter and development execution for the Content Processing Framework (CPF) — Adobe’s standard deployment platform for ML and non-ML content processor services powering core Creative Cloud workflows.
• 🔧 Key Responsibilities
• Spearheaded CPF’s architecture, design, and execution — a unified hosting platform now supporting 1,500+ content processor services handling >400K requests/minute.
• Designed and delivered the content transfer component, enabling ~100K requests/minute and sustaining ~10 Gbps of global data transfer across 3 regions.
• Drove cross-organizational collaboration to onboard diverse product and AI teams onto the platform.
• Scaled the system to handle 100× the initial planned load, ensuring high reliability and elasticity across workloads.
• 🏆 Key Achievements
• Increased GPU utilization from 2% → 75% through architectural optimizations that reduced I/O bottlenecks and improved data flow and request batching.
• Designed and implemented platform-wide capabilities — content upload/download APIs, push notifications, content streaming, optimized I/O, and prefetching — leading to rapid internal adoption.
• Enabled cloud workflows for flagship Adobe products including Express, Acrobat, Photoshop, Lightroom, and InDesign, accelerating their AI-powered transformations.
• 💡 Tech Stack: Java, Python, AWS, Docker, Kubernetes, PyTorch, MCP, Redis, EFS
• 🤝 Collaborated with: AI Infra, Data, Product, and Security teams

Feb 2016 – Present · 10 yrs 4 mos · Noida

• Contributed to multiple strategic initiatives across data analytics, system infrastructure, and product architecture, helping shape the foundation of several Adobe platforms and internal tools.
• Key Projects & Contributions:
• Adobe Sense (Research Project): Developed a data collection and sentiment analysis system to aggregate social media feedback about Adobe products. Insights were used to enhance Adobe Help pages, improving customer self-service and reducing support costs.
• Analytics Module: Built a no-code analytics framework enabling internal teams to generate interactive dashboards without coding. Integrated data from databases and Elasticsearch, powering critical portals like Pre-Release Portal and Crash Reporter.
• ACP Local (C++ Core Library): Contributed to the core architecture of Adobe’s next-generation app framework, developing a C++ library handling file I/O, network I/O, concurrency, and logging. Successfully shipped as part of Adobe XD, improving performance and modularity.
• AMI Factory: Participated in the initial design and prototyping of a system to publish hardened, standardized Amazon Machine Images (AMIs) for Adobe’s public hosting environments—ensuring consistency, security, and compliance across deployment pipelines.
• Tech Stack: Java, C++, Python, SQL, Elasticsearch, REST APIs, AWS

Feb 2014 – Jan 2016 · 1 yr 11 mos · Noida

• Worked as part of the internal tools engineering team to build Roadmap, Adobe’s in-house release management and planning platform used across multiple product teams for tracking releases, dependencies, and project timelines.
• Key Contributions:
• Designed and implemented core modules for release scheduling, dependency management, and workflow tracking, improving visibility and coordination across large cross-functional teams.
• Developed a responsive, single-page interface using AngularJS, delivering an intuitive and performant user experience for managing complex release data.
• Built and maintained backend services using J2EE, integrating with SQL Server for data persistence, reporting, and user access management.
• Collaborated closely with product managers and QA teams to ensure high reliability and usability standards for enterprise-wide adoption.
• Tech Stack: AngularJS, J2EE, SQL Server, REST APIs