Syed Muhammad Jawad

Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success. Results-oriented and innovative Senior Software Engineer with 4 years of experience. Easily communicates complex technical requirements to non-technical stakeholders. Excellent leadership record of leading development teams in enterprise-wide development projects.

Online Ordering System

• Spearheaded the development of a robust online ordering system, providing customers with a seamless and user-friendly platform to place orders, track deliveries, and enhance overall user experience.
• Implemented features such as secure payment gateways, real-time order tracking, and personalized user accounts, resulting in increased customer satisfaction and order frequency.
• Optimized the system for performance and scalability to accommodate growing user demand, ensuring reliability during peak hours.

Content Management System (CMS)

• Architected a comprehensive CMS tailored for the restaurant industry, encompassing users and roles management, menu customization, store management, and marketing functionalities.
• Implemented a user-friendly interface for efficient content creation, editing, and publishing, empowering restaurant staff to easily manage online menus, promotions, and store-specific information.
• Integrated marketing tools within the CMS to facilitate targeted campaigns, promotions, and engagement strategies, contributing to increased customer reach and retention.

Ordering Management System

• Developed an Ordering Management System to streamline the internal processes of order processing, fulfillment, and delivery logistics.
• Implemented features for real-time order status tracking, inventory management, and communication channels between kitchen staff and delivery personnel, optimizing overall operational efficiency.

CRM

• Engineered a CRM automation system to enhance customer relationship management, focusing on personalized interactions, order history tracking, and targeted marketing campaigns.
• Integrated CRM functionalities with the online ordering and CMS systems, providing a holistic view of customer interactions and preferences, leading to improved customer satisfaction and loyalty.

NCR SDK Integration with Simplex Ecommerce System

• Successfully integrated NCR Software Development Kit (SDK) into the Simplex Ecommerce System, enriching the system's capabilities and ensuring seamless communication between different components.
• Collaborated with cross-functional teams to implement and customize NCR SDK features, enhancing the overall functionality of the ecommerce system.

Simplex Ecommerce Data Integration with NCR Aloha Point of Sale

• Orchestrated the seamless integration of data between Simplex Ecommerce and NCR Aloha Point of Sale systems, ensuring consistency in product information, pricing, and sales data.
• Implemented data synchronization protocols to maintain real-time updates on inventory levels, pricing changes, and order processing.

OPTP Point of Sale and E-commerce Integration with FBR, PRA, and KPRA

• Integrated OPTP Point of Sale and Ecommerce systems with tax authorities, including FBR, PRA, and KPRA, ensuring compliance with tax regulations.
• Streamlined reporting and tax filing processes, contributing to enhanced financial transparency and regulatory adherence.

Integration of NCR Aloha Point of Sale with Simplex Ecommerce

• Successfully integrated NCR Aloha Point of Sale data with Simplex Ecommerce, enabling seamless communication and data flow between the two systems.
• Implemented data mapping and synchronization to ensure consistency in product information, pricing, and sales data.

Foot Ulcer Detector Mobile Application

• Conceptualized, designed, and developed the innovative "Foot Ulcer Detector" mobile application, leveraging advanced AI and computer vision technologies to revolutionize the early detection and management of Diabetic Foot Ulcers (DFUs).
• Led the end-to-end implementation of the application, enabling users to capture foot images using their Android mobile phones for seamless assessment of foot ulcer percentages and affected regions.
• Spearheaded the integration of deep learning, normalization techniques, and convolutional neural network (CNN) algorithms to empower the application with intelligent decision-making capabilities, ensuring accurate and efficient detection of ulcerated regions.
• Successfully employed Faster-RCNN for precise object localization, enhancing the application's ability to detect and depict the affected areas with unparalleled accuracy.
• Collaborated with a cross-functional team to establish a robust server infrastructure for dataset management, model training, and seamless integration with the mobile application, ensuring optimal performance and reliability.
• Demonstrated a keen focus on accessibility and inclusivity by developing a solution tailored to support visually impaired individuals, contributing to the advancement of healthcare technology with tangible societal impact.