Education
Work Experience
- Reduced PLC license validation time by 30% by engineering a GSE mechanism for Unity M580 industrial controllers using C# and WPF with full unit test coverage, directly supporting factory automation workflows.
- Decreased carbon emission reporting latency for manufacturing plants by architecting a real-time edge computing pipeline using Python and FastAPI, improving operational visibility into production metrics.
- Accelerated vulnerability inspection workflows by building user management dashboards and RBAC-based access controls using Angular and ASP.NET.
- Reduced application load times by 20% by refactoring .NET, WPF, and Angular codebases supporting industrial automation software, with maintained unit test coverage across all modules.
- Accelerated database query execution by 40% by designing an ORM-based data architecture using SQLite and SQLAlchemy.
- Shipped production-ready RBAC system using C#, Angular, and .NET with zero vulnerabilities across Sonar and Coverity static analysis; delivered clean, well-tested code reviewed by senior engineers.
- Worked under Dr. Rimjhim Padam Singh as a research scholar and published a work on leveraging Spiking Neural Networks for fashion dataset classification — IEEE, 2024.
- Worked under Dr. Jyotsna C. as a research scholar and published a work on CNN-based neural networks for age estimation with diverse facial datasets — IEEE, 2024.
