I am a Skilled Software Engineer with over two years of experience, specializing in building scalable, efficient, and reliable software solutions using Java, Python, and cloud technologies like AWS, GCP, and Azure. I have hands-on expertise in Kafka, Spring, Hibernate, and RESTful web services, with a focus on creating high-performance systems for anomaly detection and distributed environments.In my most recent role at Stanvac Systems, I developed services for IBM Z Anomaly Analytics, significantly optimizing data processing and system deployments. I also led the creation of a Python-based Installation Verification Tool, which reduced installation times by 90%, improving overall operational efficiency. My background in full-stack development includes building CI/CD pipelines with Jenkins and Docker, enhancing deployment workflows by 40%.With a strong foundation in machine learning, I have developed real-time face recognition applications on AWS, utilizing Raspberry Pi and convolutional neural networks (CNNs). My academic journey has further honed my skills, with a Master’s in Computer Science from Auburn University-Montgomery, where I am deepening my knowledge in algorithms, cloud computing, and web technologies.I am driven by problem-solving and continuous learning, always seeking to innovate and contribute to impactful projects.Rohith Reddy Chukkapuram323-683-6991rchukka1@aum.edu