About

Prerak Raja is an incoming Software Development Engineer at Amazon, with a Master of Science in Computer Science from Arizona State University. He is a focused and enthusiastic developer with a keen interest in software development and artificial intelligence. Prerak's love for these domains came into being through comprehensive exposure to the underlying concepts, which he has applied vividly to various projects. He is a passionate individual who thrives to build and apply algorithms to solve real-world industry problems. Currently, Prerak works as a Software Engineer at Arizona State University, where he managed the large-scale deployment of JupyterHub with Nbgrader and webwork software, facilitating approximately 5500 students. He also configured, troubleshot, and administered server-side web applications for the statistics department. Prerak managed backup/recovery, configuration management, and maintenance for MySQL and SQLite databases. He handled Linux server administration and Apache configuration, automated tasks like user account creation, managing student database, and system maintenance using Shell and automation scripts, reducing manual work by 200%. Previously, Prerak worked as a Back End Developer at Augmenify, where he documented and coded server-less web applications for the hotel industry and designed REST API using Flask-based JWT authentication. He redeveloped the existing system to support customer account management, scheduling, and time tracking, enabling dynamic API calls with the help of Amazon API Gateway, AWS Lambda, and DynamoDB. Prerak also worked as a Programming Analyst at Meditab Software, where he optimized the image processing algorithm of pill detection by creating a customized MASK RCNN algorithm, increasing accuracy by 15%. He trained the classification algorithm with the help of triplet loss to learn the image embedding of the pill, reducing the hassle of collecting data of new pills. Prerak devised a pipeline of the project to incorporate it into the product of the company. He implemented Restful APIs in Django that enabled the Quality Analyst team to increase reporting speed by 46%. Prerak also built a web app to onboard data from the company's product using Flask, Postgres, and AWS S3, enabling interactive charts in real-time. He mentored 2 interns to optimize the pill detection algorithm and to include the multiprocessing pipeline, increasing overall speed by 75%. Prerak's education history includes a Master of Science in Computer Science from Arizona State University and a Bachelor of Technology in Information and Communication Technology from Ahmedabad University. His tech stack includes Software Engineer, Web, AWS,