Software Development Engineer 2
CurrentAs an SDE 2 at Park+, I have leveraged my expertise in Python, Machine Learning, and big data algorithms to design and implement scalable backend solutions. With a focus on improving user engagement and operational efficiency, I’ve developed systems that process vast amounts of data in real-time, ensuring high performance and responsiveness. My experience spans across various programming languages including Java, C++, and C, with a deep understanding of SQL, Linux, and Docker for deploying and… Show more As an SDE 2 at Park+, I have leveraged my expertise in Python, Machine Learning, and big data algorithms to design and implement scalable backend solutions. With a focus on improving user engagement and operational efficiency, I’ve developed systems that process vast amounts of data in real-time, ensuring high performance and responsiveness. My experience spans across various programming languages including Java, C++, and C, with a deep understanding of SQL, Linux, and Docker for deploying and managing large-scale applications.By combining technologies such as Kafka, Debezium, and AWS, I created a highly efficient Data Warehouse solution that improved data retrieval by 40%. Additionally, I developed a personalised Reward Engine using machine learning algorithms to analyse user behaviour, which increased transaction rates by over 50%. My work in architecting these systems has helped streamline operations, scale systems, and deliver personalised user experiences that drive engagement.Key contributions include:Event Management System: Developed a system that doubled user interactions for over 500,000 active users, utilising Python, Kafka, and real-time data processing for enhanced targeted marketing.Data Warehouse Solution: Streamlined data flow and improved data retrieval speed by 40% using Kafka, Debezium, and AWS, ensuring scalability for future growth.Personalised Reward Engine: Created a machine learning-based reward engine that tailored offers based on user activity, increasing transaction rates from 0.5% to 3%, enhancing user retention and engagement.With a strong foundation in Computer Science and hands-on experience in AI, Natural Language Processing (NLP), and Deep Learning frameworks like TensorFlow, I continue to push the boundaries of what scalable, data-driven systems can achieve. Show less