Professional Experience

Contributed to scalable system development and AI-driven workflow automation as a backend-focused engineering intern.

• Contributed to backend development using Django, focusing on modular architecture and maintainable API design.
• Assisted in integrating AI-driven automation workflows using n8n, enabling automated task orchestration and data processing.
• Improved system logic, performance optimization, and scalability of backend services.
• Gained practical exposure to production-level backend engineering practices, including structured code design and system reliability.

Developed internal enterprise solutions using Microsoft's low-code ecosystem to streamline business workflows and improve operational efficiency.

• Built an internal task management system using Microsoft PowerApps, integrated with Dataverse and SharePoint for centralized data handling.
• Designed structured data models and automated workflows using Power Automate, improving task tracking and team coordination.
• Developed low-code business applications aligned with real operational requirements, reducing manual administrative processes.
• Gained hands-on experience with enterprise workflow automation and low-code solution architecture.

Developed an internal monitoring system for digital weighing machines to improve operational visibility and reduce manual inspection efforts.

• Developed a Flask-based web application to monitor digital weighing machines by pinging device-specific IP addresses within the internal network.
• Implemented socket-based communication to track real-time device connectivity and system status.
• Built an automated alert system that triggered email notifications when a machine remained offline for more than one hour, enabling faster maintenance response.
• Deployed the application on the company's internal server, enabling centralized monitoring and easier hardware troubleshooting.