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Aaditya Singh

Member of Technical Staff at Adobe

Role Overview

Full-stack software engineer at Adobe working on cloud-scale document collaboration platforms and service infrastructure powering Adobe’s creative suite applications used by millions worldwide. Focused on building scalable, high-performance systems for real-time collaboration and document processing across Creative Cloud applications.

Key Responsibilities

Cloud Infrastructure Development

  • Microservices Architecture: Designed and implemented scalable microservices using modern cloud-native patterns
  • API Development: Built RESTful APIs handling millions of requests per day with sub-100ms response times
  • Performance Optimization: Optimized system performance for global scale deployment across multiple data centers
  • Reliability Engineering: Implemented comprehensive monitoring, alerting, and automated recovery systems

Document Collaboration Platform

  • Real-time Collaboration: Developed real-time document editing and sharing features enabling simultaneous editing
  • Conflict Resolution: Implemented sophisticated operational transformation algorithms for handling concurrent edits
  • Version Control: Built comprehensive document versioning and history tracking with branching and merging
  • Cross-platform Sync: Ensured seamless synchronization across web, desktop, and mobile applications

Technical Stack

Backend Technologies

  • Java: Enterprise microservices and middleware components
  • C++: High-performance document processing engines
  • Go: Cloud-native services and API gateways
  • Ruby on Rails: Legacy system integration and rapid prototyping

Frontend Development

  • JavaScript/TypeScript: Modern web applications with responsive design
  • React: Component-based user interfaces for collaboration features
  • WebSocket: Real-time communication for live collaboration
  • Progressive Web Apps: Offline-capable document editing applications

Cloud and DevOps

  • AWS: EC2, S3, Lambda, RDS, CloudFormation for cloud infrastructure
  • Docker/Kubernetes: Containerization and orchestration for microservices
  • CI/CD: Jenkins and GitLab for automated testing and deployment
  • Monitoring: New Relic, DataDog, and custom metrics for system observability

Major Projects

Document Service Modernization

Duration: Aug 2020 - Mar 2021

Challenge: Legacy monolithic architecture causing performance bottlenecks and scalability issues affecting millions of users.

Solution: Led complete migration to microservices architecture with event-driven communication:

  • Architecture Redesign: Decomposed monolith into 15 focused microservices
  • Event-Driven Communication: Implemented asynchronous messaging with Apache Kafka
  • Database Optimization: Migrated to distributed database architecture with read replicas
  • Caching Strategy: Implemented multi-layer caching with Redis and CDN integration

Impact:

  • 2x reduction in API response time (from 150ms to 75ms average)
  • 5x improvement in system scalability supporting concurrent user growth
  • 30% reduction in infrastructure costs through resource optimization
  • Zero-downtime deployment enabling continuous feature delivery

Recognition: Featured in Adobe’s engineering blog as architectural best practice example

Real-time Collaboration Engine

Duration: Apr 2021 - Dec 2021

Challenge: Enable simultaneous editing by multiple users without conflicts across different document types and devices.

Solution: Built comprehensive real-time collaboration system:

  • Operational Transformation: Implemented OT algorithms for conflict-free collaborative editing
  • WebSocket Infrastructure: Scalable real-time communication supporting 1M+ concurrent connections
  • Presence Awareness: Live cursor tracking and user presence indicators
  • Conflict Resolution: Intelligent merge algorithms handling complex editing scenarios

Technical Innovation:

  • Custom OT implementation optimized for document structure preservation
  • Efficient delta compression reducing network bandwidth by 80%
  • Client-side prediction minimizing perceived latency
  • Robust reconnection handling for mobile and unstable networks

Impact:

  • Enabled real-time collaboration for 10M+ users across Creative Cloud
  • 95% reduction in collaboration conflicts requiring manual resolution
  • 40% increase in user engagement with collaborative features
  • Supported Adobe’s transition to cloud-first collaboration model

Performance Optimization Initiative

Duration: Jan 2022 - Aug 2022

Challenge: Memory usage and response times affecting user experience, particularly for large documents and high-concurrency scenarios.

Solution: Comprehensive performance optimization across the entire stack:

  • Memory Optimization: Implemented object pooling and efficient garbage collection strategies
  • Database Tuning: Query optimization and index restructuring reducing query time by 60%
  • Caching Improvements: Intelligent caching strategies with cache warming and invalidation
  • Code Profiling: Systematic performance profiling identifying and eliminating bottlenecks

Technical Achievements:

  • 5x reduction in memory footprint for CRUD operations (from 500MB to 100MB average)
  • 30ms improvement in API response time for document operations
  • 5% improvement in overall cluster resource utilization
  • 90% reduction in out-of-memory errors during peak usage

Business Impact:

  • Improved user experience leading to 15% increase in feature adoption
  • Reduced infrastructure costs by $200K annually through efficiency gains
  • Enhanced system reliability during traffic spikes
  • Enabled support for larger document sizes and more concurrent users

Cloud Infrastructure Migration

Duration: Ongoing throughout tenure

Challenge: Migrate legacy on-premises systems to modern cloud infrastructure while maintaining 99.9% uptime.

Solution: Executed gradual migration strategy with zero-downtime deployment:

  • Hybrid Architecture: Implemented bridge systems enabling gradual migration
  • Infrastructure as Code: Used Terraform and CloudFormation for reproducible deployments
  • Container Orchestration: Migrated applications to Kubernetes for improved scalability
  • Security Enhancement: Implemented comprehensive security controls and compliance measures

Results:

  • Successfully migrated 25+ services to cloud infrastructure
  • Improved system reliability with 99.99% uptime SLA achievement
  • 30% reduction in operational costs through cloud optimization
  • Enhanced security posture meeting SOC 2 Type II compliance

Research and Innovation

Industry Publication

Paper: “How Ethos Powers a Cloud-Native Transformation at Adobe” Venue: Cloud Architecture Conference 2022

Contribution: Co-authored comprehensive case study on Adobe’s cloud transformation:

  • Architecture Patterns: Documented microservices patterns and anti-patterns
  • Migration Strategies: Detailed approaches for legacy system modernization
  • Performance Metrics: Quantitative analysis of transformation benefits
  • Lessons Learned: Practical guidance for large-scale cloud adoption

Impact:

  • Paper cited by 15+ companies implementing similar transformations
  • Presented at 3 industry conferences reaching 1000+ engineers
  • Influenced Adobe’s internal cloud adoption best practices
  • Shared knowledge benefiting broader software engineering community

Internal Innovation

Patent Applications: Co-inventor on 2 patent applications for document collaboration innovations:

  • Real-time Conflict Resolution: Novel algorithms for collaborative editing conflict resolution
  • Distributed Document Processing: Efficient algorithms for large document processing in cloud environments

Open Source Contributions: Contributed optimizations to several Adobe open source projects:

  • React Spectrum: Performance improvements for Adobe’s design system
  • Brackets: Code editor enhancements for web development
  • PhoneGap: Mobile application framework optimizations

Professional Growth and Leadership

Leadership Experience

Project Leadership: Led cross-functional team of 8 engineers across backend, frontend, and DevOps:

  • Technical Decision Making: Key contributor to architectural decisions affecting millions of users
  • Code Quality: Established code review standards improving overall code quality by 40%
  • Team Development: Mentored 5 junior engineers and 3 summer interns
  • Cross-team Collaboration: Coordinated with product, design, and QA teams

Technical Excellence

Best Practices Champion:

  • Testing Standards: Implemented comprehensive testing strategies achieving 90% code coverage
  • Documentation: Created architectural documentation adopted across multiple teams
  • DevOps Culture: Promoted DevOps practices reducing deployment time by 75%
  • Performance Culture: Established performance monitoring and optimization practices

Knowledge Sharing

Technical Communication:

  • Internal Tech Talks: Delivered 12 technical presentations to engineering organization
  • Brown Bag Sessions: Led weekly learning sessions on cloud technologies and best practices
  • Mentoring Program: Participated in formal mentoring program for new graduates
  • Conference Speaking: Presented at external conferences on cloud architecture and microservices

Impact and Recognition

Quantifiable Business Impact

  • Performance: Achieved 2x improvement in API response times benefiting 10M+ users
  • Scale: Systems handling 100M+ requests per day with 99.99% uptime
  • Cost Optimization: Reduced infrastructure costs by 30% through optimization initiatives
  • User Experience: Improvements leading to 15% increase in feature adoption

Professional Recognition

  • Performance Reviews: Consistently exceeded expectations with “exceptional performer” ratings
  • Peer Recognition: Nominated for Adobe’s Technical Excellence Award
  • Customer Impact: Direct contribution to customer satisfaction improvements measured in NPS scores
  • Industry Recognition: Work featured in external technical publications and conferences

Team and Cultural Impact

  • Engineering Standards: Contributed to engineering excellence initiatives adopted company-wide
  • Hiring: Participated in technical interviews helping hire 15+ engineers
  • Culture Building: Active contributor to inclusive engineering culture and diversity initiatives
  • Innovation: Promoted culture of technical innovation and continuous improvement

Technical Innovations and Contributions

System Architecture

  • Microservices Design: Pioneered microservices patterns for document collaboration
  • Event-Driven Architecture: Implemented scalable event-driven systems using Kafka
  • API Design: Created RESTful API standards adopted across Adobe’s product portfolio
  • Database Architecture: Designed distributed database systems handling petabyte-scale data

Performance Engineering

  • Optimization Techniques: Advanced profiling and optimization of high-traffic systems
  • Caching Strategies: Multi-layer caching architectures reducing database load by 70%
  • Load Testing: Comprehensive load testing frameworks validating system scalability
  • Monitoring Systems: Real-time monitoring and alerting systems for proactive issue detection

Development Practices

  • CI/CD Pipelines: Automated deployment pipelines reducing deployment risk and time
  • Testing Frameworks: Comprehensive testing strategies including unit, integration, and performance tests
  • Code Quality Tools: Static analysis and code quality tools maintaining high engineering standards
  • Security Practices: Security-first development practices ensuring data protection and compliance

Transition to Graduate Studies

Skills Transfer

The experience at Adobe provided crucial industry perspective on large-scale system design, which directly informs current research in distributed machine learning and federated systems:

  • Distributed Systems: Deep understanding of scalability challenges applicable to federated learning
  • Performance Optimization: Optimization skills transferring to ML model efficiency research
  • System Reliability: Production system experience informing robust ML system design
  • Collaboration: Remote collaboration experience relevant to federated learning research

Industry-Academia Bridge

  • Practical Perspective: Real-world engineering experience informing academic research direction
  • Problem Identification: Industry experience helping identify meaningful research problems
  • Technology Transfer: Ability to translate research innovations into practical applications
  • Professional Network: Industry connections facilitating research collaboration and impact

Working at Adobe provided exceptional experience in building large-scale systems serving millions of users, combining rigorous engineering practices with innovative problem-solving in a fast-paced technology environment. The experience of designing and implementing cloud-native architectures while maintaining reliability and performance at massive scale provides valuable perspective for current research in distributed machine learning systems.