About

Mohammed Shaikh is a highly skilled Software Engineer with a passion for backend development, systems programming, machine learning, big data, and distributed systems. He has extensive experience in working with various technologies such as C/C++, Java, Python, JavaScript, Apache Kafka/Spark, PyTorch, and TensorFlow. With a Bachelor of Science degree in Electrical Engineering and Computer Science from the University of California, Berkeley, he has a strong foundation in client-server architecture, ensuring scalability in enterprise-level cloud/SaaS applications, working with a large codebase, and collaborating through Git, Agile/Scrum software development, and testing frameworks to produce clean, efficient code. Currently working as a Software Development Engineer at Amazon, Mohammed has gained valuable experience in the industry, having previously worked as a Software Engineering Intern at Apple and an Undergraduate Researcher at UC Berkeley Swarm Lab. With a relevant experience of 3.77 years, he has honed his skills in software engineering, backend development, Spark, big data, test, Javascript, machine learning, Kafka, Pytorch, Python, Java, C, and research science. Mohammed's expertise in software engineering and his passion for developing efficient and scalable systems have made him an asset to any team he works with. He is a quick learner, a team player, and a problem solver, with a strong ability to work in a fast-paced environment. His dedication and commitment to his work have earned him a reputation as a reliable and efficient Software Engineer. Mohammed is always looking for new challenges and opportunities to expand his knowledge and skills. He is open to connecting with like-minded individuals and companies who share his passion for software engineering and developing innovative solutions to complex problems.