Shyam Sharma

Results-driven Software Engineer with experience in full-stack development, RESTful API design, and database management. Committed to delivering high-quality solutions in collaborative, dynamic environments while driving innovation and measurable impact.

Software Engineer at Mundrisoft ERP Solutions (2024-10 – Present)

• Developed backend REST APIs for seamless CRUD operations and secure frontend-backend integration.
• Integrated a payment gateway to handle subscription and course purchase transactions securely.
• Implemented a SCORM module to support SCORM-compliant e-learning content delivery and tracking.
• Integrated Microsoft Teams and Zoom for virtual training sessions within the LMS platform.
• Implemented an AI-powered chatbot using OpenAI to assist users with platform queries in real time.
• Built the AiBuddy feature using OpenAI, providing personalized insights — earnings per course, enrolled course details, upcoming session schedules, and AI-driven course recommendations based on user progress and interests.
• Built APIs for creating, managing, and delivering customized assessments for educational and corporate clients.
• Migrated the database from PostgreSQL to MSSQL, ensuring data integrity and zero data loss during transition.
• Developed and maintained REST APIs to support core assessment platform features and third-party integrations.
• Implemented Single Sign-On (SSO) for secure, unified authentication across platform modules, and set up CI/CD pipelines to automate build, test, and deployment workflows for REST API services.

Software Developer at Trimasys Control Solution Pvt. Ltd. (2022-07 – 2024-10)

• Developed and integrated an Asset Management Unit for monitoring and managing physical assets using real-time data collection and predictive analytics.
• Designed responsive dashboards using Angular and TypeScript for visualizing asset health, performance, and maintenance status.
• Implemented features for asset lifecycle management, real-time performance tracking, and condition-based monitoring to minimize downtime.
• Configured Kepware integration to enable real-time data exchange between industrial devices/sensors and the central system.
• Worked on RTPPM to enhance maintenance strategies by integrating predictive analytics to forecast asset failures based on historical data and usage patterns.
• Implemented real-time data processing to proactively manage asset maintenance, reduce unplanned downtime, and extend asset life.
• Contributed to development of algorithms and models for fault detection, predictive analytics, and reporting to improve overall asset reliability.
• Developed RESTful APIs to facilitate real-time data flow between Kepware and front-end systems, ensuring data consistency and accuracy.
• Used MSSQL to store and manage fetched sensor data at scale; handled large volumes of real-time data, ensuring system scalability.

B.E. in Electronics & Telecommunication Engineering – Jagadambha College of Engineering & Technology, Yavatmal (2022-07)