FERRIS MOHAMMED

Software Development and Integration:

• Enhanced car wash systems with advanced solutions using Node.js, Electron, Python, and Azure.
• Integrated SmartStop into SDQ (Digital Queue), providing seamless digital queue management praised by customers.

System Integration and Management:

• Managed Sonny’s Smart Motor Control Center (SMCC) and PLC systems (Schneider, Wago), boosting reliability and customer satisfaction.

Service Development:

• Created mcc-gateway and mcc-manager services for seamless PLC-back-office communication, enhancing data flow and commercial success.

UI/UX Development:

• Designed user interfaces for the Digital Queue using React, NextJS, and Bootstrap, improving customer experience and increasing sales.

PLC and IoT Integration:

• Used OPC UA for PLC communication, enhancing control systems’ performance and earning high customer acclaim.

Database Management:

• Optimized SQL databases to support robust performance and customer satisfaction.

Continuous Improvement:

• Conducted R&D to drive innovation in car wash automation, maintaining high customer approval.

• Collaborated with interdisciplinary teams of pharmacists, lab scientists, and mathematicians to develop web applications for treating neurodegenerative diseases.
• Built robust internal web applications using React, Three.js, D3, React-Spring, Bootstrap, and Flask for simulating lab experiments into graphical data, accelerating drug efficacy testing in vitro.
• Developed RESTful web applications with Flask, integrating internal and third-party APIs for seamless data exchange.
• Utilized PostgreSQL to manage database transactions from internal database.
• Abstracted patient data into a serializable format and built treatment paths for Parkinson's Disease patients in Python, Numpy, Scipy, and Pandas.
• Created computational pathway models and employed data visualization approaches to relay analysis findings effectively.
• Deployed apps with Google Cloud Platform.

• Led a cross-platform mobile app project for dietetics and applied nutrition research, Snackability
• Developed a food scoring algorithm to evaluate nutritional value and compared food contents with USDA standards.
• Built a search feature using local and USDA databases.
• Worked closely with Developers and Professors to deliver a user-friendly app to incentivize healthy dieting
• Utilized React-Native, Node.js, MySQL for development stack
• Utilized Firebase and Express user-authentication and routing
• Utilized Expo and Heroku for Deployment

• Conducted regression testing and submitted observations to development team.
• Optimized test cases to maximize success of manual software testing using JIRA.
• Tested R&D tech Connected Car Solutions that monitor real-time vehicle location relative to other vehicles along with providing user safety features for crash alerts and collision warning.