Anant Sharma

Project: Accenture Industrial Intelligence Suite

• Automated HMI and fault tree load processes using XD and Figma files, reducing load time from half day to few seconds.
• Delivered end-to-end solution for ML model registration via UI, supporting operations like run, pause, stop, input mapping, and issue tracking, cutting deployment time from hours to minutes.
• Developed performance tracking tools for ML models using data drift, quality, and target drift metrics, including detailed reports and retraining triggers.
• Built simulation tools enabling users to modify parameters and display results as HMI.
• Led 3-member team to implement real-time sensor parameter and alarm comparison solutions, ensuring quality delivery on time.
• Directed the development of a notification panel for active event alerts.

Project: Cerebra

• Designed scalable alarm-tracking system handling 20,000+ data points in single API call.
• Create playstore-like interface for real-time sensor data transmission connectors.
• Built event-priority tracking tools with graphical x-range format for streamlined monitoring.
• Developed fault-path tracing solutions using fault tree analysis for pinpoint diagnostics.
• Implemented data pipeline ensuring data quality checks for seamless UI-API data flow.
• Established best practices for test case identification and tracking, enhancing documentation and issue resolution.
• Improved and maintained existing features to boost performance.
• Conducted training and knowledge transfer sessions for new team members.