Abhinav Sharma

Led the development of the RedBooks financial system, introducing a rule-based configuration that reduced manual data entry by 40%. Improved financial reporting accuracy and optimized internal product workflows, achieving a 65% bandwidth optimization.

Developed the EagleAI module for vehicle activity analysis, enhancing anomaly detection accuracy by 30%. Managed API integrations for fleet tracking, significantly reducing SIM card activation time and connectivity downtime.

Developed RESTful API services for a network of healthcare professionals, streamlining appointment scheduling and reducing booking errors by 30%. Enhanced user satisfaction through improved service delivery.

Architected a tool for AWS cost tracking that improved budget forecasting accuracy by 20%. Contributed to financial accountability through detailed insights and reporting.

Created a Rails-based Price Alert App to monitor cryptocurrency prices. Implemented background jobs for real-time updates, allowing users to set custom price thresholds.

Introduced a rule-based configuration system for the Finance module, reducing manual data entry by 40% and improving the accuracy of financial reporting.

Built and implemented the EagleAI module to cluster vehicle activity data, improving the ability of the system to detect patterns and identify key trends such as unidentified stoppages, unknown fuel stoppages, and inactivity for over 20 minutes and boosted anomaly detection accuracy by 30%.

Launched RESTful API services for a network of over 1,000 healthcare professionals, streamlined the appointment scheduling process, resulting in a 30% decrease in appointment booking errors and enhanced user satisfaction.

Architected a tool for precise Amazon Web Services cost tracking, offering detailed insights that improved budget forecasting accuracy by 20% and promoted financial accountability.