Emil Manvelyan

Worked as a full-stack engineer using Angular and Python (Django) on the NoTraffic project, which focuses on optimizing traffic flow through AI and sensor-based solutions. Developed new features using Fabric.js (Canvas) for cameras near traffic lights, enabling AI and sensors to detect stop lines and other road markings, improving traffic management efficiency. Created new APIs using Django with MySQL, PostgreSQL, and Redis to process and retrieve coordinates from AI for real-time traffic monitoring and optimization. Played a key role in architecting the system, ensuring scalable and efficient solutions that integrate AI, sensors, and traffic control mechanisms. Mentored junior developers, guiding them on best practices in full-stack development, ensuring code quality, and fostering professional growth within the team. Implemented and maintained Jenkins/CI/CD pipelines, utilizing Docker Compose in Bitbucket for seamless deployment and continuous integration. Configured AWS with all nec

Led the UI team on the 'Alerts' project for Raymond James, an investment bank, ensuring smooth architecture and high-quality coding practices. Collaborated closely with product and backend teams, participating in discussions to align on project goals and offering recommendations for UI improvements and system architecture. Maintained and optimized the overall architecture of the project, ensuring scalability and robust solutions for UI components. Mentored and guided developers on best practices, ensuring consistent code quality and fostering growth within the team. Utilized Angular to develop and maintain the UI, focusing on creating an efficient and user-friendly alert system for financial professionals.

Worked as a full-stack engineer using Angular and Python (Django) on the NoTraffic project, optimizing traffic flow through AI and sensor-based solutions. Developed new features using Fabric.js (Canvas) for cameras near traffic lights, enabling AI and sensors to detect stop lines and other road markings, improving traffic management efficiency. Created new APIs using Django with MySQL, PostgreSQL, and Redis to process and retrieve coordinates from AI for real-time traffic monitoring and optimization. Played a key role in architecting the system, ensuring scalable and efficient solutions integrating AI, sensors, and traffic control mechanisms. Mentored junior developers, guiding them on best practices in full-stack development, ensuring code quality, and fostering professional growth within the team. Implemented and maintained Jenkins/CI/CD pipelines, utilizing Docker Compose in Bitbucket for seamless deployment and continuous integration. Configured AWS with all necessary tools and ser