About

Shweta Sharma is a highly skilled graduate student currently pursuing a Master's degree in Computer Science from Texas A&M University. With over 2 years of professional experience as a Software Engineer at Goldman Sachs, Shweta has demonstrated expertise in Full-Stack Development, REST Services, and Big Data Analytics. She has developed production-level software products using various programming languages, frameworks, and databases, including Java, Python, React, Spring, Apache Hadoop, MongoDB, and Sybase. Shweta is passionate about Web Development, Software Development, Data Engineering, Android Development, Machine Learning, Cloud Computing, and Artificial Intelligence. She possesses a diverse skill set that includes proficiency in languages like Java, C/C++, Python, HTML, CSS, and Javascript, and tools/technologies like Linux, Git, Jenkins, Jersey, REST API, React, Redux, Angular 7, Apache Hbase, HDFS, MapReduce, YARN, Crontab, Kubernetes, Autosys, MongoDB, SQL, Arduino, Jupyter Notebook, Maven, Gradle, Elastic, Kibana, and Cerebro. Shweta is a quick learner and is always eager to learn new technologies and techniques. She is a team player and enjoys collaborating with other professionals to achieve common goals. She has previously interned at Goldman Sachs and the Indian Institute of Technology, Kharagpur, where she gained valuable experience in software development and research. Shweta is seeking career opportunities in the fields of Web Development, Software Development, Data Engineering, Android Development, Machine Learning, Cloud Computing, and Artificial Intelligence. She is open to having technical discussions around web design, system design, ML/Data Science, or casual chats broadly around algorithms, developer experience, or engineering culture. Shweta can be reached at shweta_sharma_1999@tamu.edu.