Hi, I'mHarshit Shiroiya

Architecting and maintaining clinical software products using Angular, C#, .NET Core, and Azure cloud services.

• Architected 3 clinical software products as micro-frontend Angular applications using Angular Signals for reactive state management, eliminating redundant change-detection cycles and improving rendering performance by 40%
• Engineered a version control system for clinical studies leveraging Azure Blob Storage to maintain 100% version histories across all study configurations, ensuring full audit traceability
• Orchestrated containerized microservice deployments on Azure Kubernetes Service (AKS) with Azure Container Registry, boosting scalability 40%, accelerating deployment velocity 30%, and reducing infrastructure costs by 35%
• Deployed a distributed caching layer using Azure Cache for Redis with .NET Core (C#) and Entity Framework, cutting API latency by 50% and reducing database load by 35% under peak workloads for 2,000+ concurrent users
• Established ESB-based and event-driven microservice communication via Azure Service Bus; instrumented observability with Azure Monitor and Application Insights, reducing incident mean-time-to-detect (MTTD) by 60%
• Introduced GraphQL alongside RESTful APIs for clinical dashboards, cutting API response time by 35% and eliminating over-fetching; refactored monolithic application into microservices, improving scalability and maintainability
• Led sprint planning across 3 clinical products, achieving 99% alignment with business owners on priorities and timelines; mentored 2 junior engineers and boosted UX satisfaction scores by 25%

Architected distributed data pipelines and NLP-based research tools for large-scale social media analysis.

• Architected a distributed data ingestion pipeline integrating Twitter, YouTube, and Reddit APIs to process high-volume sentiment data for 164 entities, aiding 1,000+ researchers with NLP-based emotion classification
• Optimized data workflows with advanced algorithms and SQL pipelines, reducing processing time by 30% and enabling insights on medication efficacy for 10,000+ patients
• Introduced caching and async processing alongside Azure Data Lake Storage and Azure Service Bus for large-scale data management and reliable service communication, reducing latency by 50%
• Designed optimized MongoDB schemas for time-series social data with compound indexes, enabling sub-second querying

Built scalable full-stack web applications with focus on accessibility, cloud deployment, and marketing automation workflows.

• Built scalable .NET Core (C#) backend microservices and WCAG 2.1-compliant frontends using Angular and Vue.js, integrating AWS S3 and Amazon RDS (PostgreSQL) to support a 30% scalability improvement across high-traffic marketing automation workflows
• Configured Memcached server-side caching layer, reducing database round-trips by 40% and boosting throughput for peak-load marketing campaigns serving thousands of concurrent users
• Automated end-to-end CI/CD pipelines using AWS CodePipeline and CodeBuild, cutting release cycle time by 25% and enabling faster, more reliable feature deployments across environments