Mayank Jindal

Mayank Jindal is a computer science master's student from the University of Chicago with a strong passion for software engineering, as evidenced by his open-source contributions, internships, and interdisciplinary projects. During his internship at Goldman Sachs, he focussed on developing an internal pricing tool, utilizing Node.js for web services, React for the user interface, MongoDB for database operations, Kubernetes for deployment automation, and Jaeger for distributed tracing. Mayank excelled in writing unit tests using Jest. At the Intel Parallel Computing Centre at Indiana University Bloomington, he gained hands-on experience in machine learning, implementing various algorithms using HARP-DAAL and achieving significant speedups on Intel Knight Landing Cluster. He also served as a mentor in Google Code-In for two years, guiding pre-university students in web and android app development. His academic background includes a Master of Science in Computer Science from the University of Chicago and a Bachelor of Technology in Civil Engineering from the Indian Institute of Technology, Kharagpur. Mayank has experience working as a Software Engineer at Amazon, a Teaching Assistant at the University of Chicago, and in various other roles within the tech industry.