Aayush Gupta

About Aayush Gupta

I am a Full Stack Software Development Engineer with over 2.5 years of experience building scalable, high-availability distributed systems. Currently an SDE at Microsoft, I focus on transforming complex business requirements into robust technical architectures.My expertise lies in low-level design (LLD) and high-level design (HLD), with a deep commitment to SOLID principles and Design Patterns to ensure code maintainability and extensibility. I thrive in environments that challenge my understanding of distributed systems, whether it\'s optimizing data consistency in NoSQL databases or fine-tuning system performance.Technical Core:Languages: Java (Primary for System Design), C++(Primary for DSA/Performance), SQL.Architecture: Distributed Systems, Microservices, Load Balancing (L4/L7), Scalability.Databases/Storage: NoSQL (Cassandra, DynamoDB, Redis), SQL, Schema Design.Principles: Object-Oriented Programming (OOP), SOLID, Clean Code.I am passionate about solving intricate algorithmic challenges and constantly refining my approach to software craftsmanship. Beyond the IDE, I stay curious about the intersection of emerging technologies and their impact on large-scale infrastructure.

Experience

1. Software Engineer

   Microsoft

   Jul 2023 — Present · Hyderabad, IN

   System Modernization: Led the complete overhaul of legacy quoting workflows into a modern, responsive React typescript based UI, APIs and Azure Infra. This automation resulted in an 80% improvement in deal closure speed and operational throughput- Financial Systems & User Experience: Built a high-volume financial dashboard (React UI) handling millions of quarterly transactions. Improved product accessibility and inclusivity while reducing refund rates by enabling flexible license transfers between tenants. This impacted the redirection of 35% refund requests to license transfers in FY2025- Platform Stability: Engineered robust monitoring and alerting systems (using Azure Infra) that reduced customer-reported incidents by 70% month-over-month, significantly improving system reliability and uptime- AI-Driven Automation: Designed and launched an AI Copilot backend (using.NET, SQL and LLMs) that automates routine tasks. This centralized core business logic and measurably increased the speed of deal creation for users up to 30%- Operational Efficiency: Developed an internal AI tool using GPT-4 and RAG to automatically analyze system failures, drastically reducing the time required for engineering teams to identify and resolve root causes- Security and CI/CD Automation: Eliminated secret dependencies, enforced network isolation, and automated multi-service deployments, enhancing security and reliability through CI/CD.

Education

• PEC University of Technology, Chandigarh

  B.Tech, Computer Science and Engineering

  2019 — 2023