Aayush Gupta

Lead Software Engineer with 5+ years of experience in cloud-native SaaS platforms, microservices architecture, and distributed data systems. Proven track record in improving API/UI response paths by up to 4x and reducing issue detection and resolution turnaround by 40% by implementing caching strategies, query optimization, and production observability infrastructure. Skilled in Python, Java, AWS, and Kubernetes, known for driving large-scale system performance optimization and cross-team architectural alignment.

Lead Software Engineer at Axtria India Pvt. Ltd. (2024-04 – Present)

• Led architectural decomposition of a monolithic platform into event-driven microservices while building a unified data orchestration platform, coordinating architecture patterns across 5+ cross-functional teams (25+ developers) to enable parallel development cycles and cut deployment blockers to virtually zero.
• Improved API and UI response paths by up to 4x by introducing Redis caching, MongoDB query optimization, payload optimization, and repeated-fetch reduction, enhancing the application experience for thousands of daily enterprise healthcare users.
• Architected foundational data ingestion and monitoring microservices for a unified orchestration platform by designing pipelines that ingest from 10+ diverse healthcare source systems, enabling rapid bottleneck detection and driving performance optimizations across the core data pipeline.

Senior Software Engineer at Axtria India Pvt. Ltd. (2022-04 – 2024-03)

• Refactored distributed batch processing workloads handling millions of patient and provider records per run by implementing strategic batching, parallelization, and memory tuning across a cross-functional team of 8 engineers, improving runtime by 70% while eliminating recurring job timeouts and memory exhaustion with zero increase in infrastructure costs.
• Architected secure, tenant-aware data integration services for a commercial healthcare platform by designing credential management, authorization workflows, and configurable enterprise data access patterns, enabling compliant multi-tenant data isolation for 12+ enterprise clients while reducing onboarding time by 65% (3 weeks to 5 days) and cutting credential-related integration failures by 85%.
• Built production observability infrastructure using Grafana, Prometheus, CloudWatch, and Elasticsearch by designing automated alerting rules and real-time dashboards, reducing issue detection and resolution turnaround time by 40% across the platform.

Software Engineer at Axtria India Pvt. Ltd. (2020-08 – 2022-03)

• Led the modernization of legacy Salesforce-linked data management screens by rebuilding them with React.js and Next.js and collaborating with a senior backend engineer on REST API contracts, achieving a 30% increase in user engagement and a 25% reduction in internal support tickets for data configuration mismatches.
• Directed UI bug resolution and hotfixes for enterprise data workflows, slashing form-submission failure rates by 45% and achieving a 25-minute average reduction in issue turnaround time for operational teams.
• Engineered REST APIs handling 500K+ daily requests and a reusable component library of 40+ React/Next.js components for enterprise data management and analytics workflows within an Agile team of 6 engineers, reducing feature implementation time by 40% and enabling seamless integration across backend enterprise data services.

Integrated Bachelor & Master of Technology in Computer Science – National Institute of Technology, Hamirpur (2020)