Prakash Joshi

▸ Project: EY Canvas EY Canvas is a premier enterprise-grade multi-tenant SaaS audit platform used by 145,000+ EY professionals across 150 countries. It digitises the end-to-end audit lifecycle, integrating advanced analytics, real-time collaboration, and secure management of multi-terabyte datasets while ensuring compliance with regional regulations. • Developed and delivered end-to-end product features using . NET Core, React JS, and SQL Server, covering the full lifecycle from design through production deployment on Azure App Services. • Built and maintained RESTful Web APIs and optimised complex stored procedures, achieving a ~30% reduction in average query execution time and measurably improving application responsiveness. • Leveraged Azure Application Insights for proactive monitoring and log analysis, cutting mean bug resolution time by 40% and sustaining 99.9% production uptime across all environments. • Mentored 3+ junior developers through structured code reviews and knowledge-sharing sessions, raising team-wide code quality and adherence to best practices. • Collaborated with QA, DevOps, and Product teams to plan and execute zero-downtime feature releases in multi-tenant Azure- hosted environments.

▸ Project: TCS IKRIS TCS IKRIS is a proprietary real-time knowledge-based automation platform that integrates expert-rule engines with live plant data to enable closed-loop control and autonomous operations for global process manufacturing leaders. Deployed across heavy industries, it optimises kiln and mill processes, reducing fuel consumption, stabilising operations, and enhancing production quality. • Built and deployed multiple RESTful microservices using . NET Framework and MS SQL Server for a real-time IoT automation system running across 10+ global heavy-industry manufacturing plants. • Built ASP.NET MVC dashboards with JavaScript enabling operators to monitor live kiln/mill data in real time, reducing manual decision-making latency by 25% and improving operational efficiency. • Actively contributed to Agile sprint cycles — requirements analysis, technical design, and on-time delivery of scalable IoT automation features across complex industrial environments.