About

Parth Mehta is an experienced software engineer with a strong foundation in data structures and algorithms, back-end distributed development, and data analytics. He is currently pursuing a Master's degree in Computer Science from San Jose State University and is actively seeking full-time SWE roles. Parth has 2.69 years of relevant experience, having worked as a Software Engineer II at JP Morgan and as a Software Development Engineer Intern at upGrad. He is currently working as a Software Engineer Intern at Braze. At JP Morgan, Parth worked on developing an ElasticSearch powered system employing Java, Spring, and Akka that indexed 70 million documents in 2 weeks. He also implemented JWT verification using RSA algorithm in Documentum to speed up authentication. Parth helped the team migrate to a centralized password system along with kerberos database authentication. He also developed a PowerBI based data-analytics dashboard for the NGO Katalyst as part of ForceForGood. At upGrad, Parth coded REST APIs in Django to compute metrics for sampling and flagging grader feedback. He also calculated similarity, sentiment, and grammar scores on textual feedback using Python libraries like NLTK. This resulted in an improvement in feedback quality with a 30% increase in the length of grader feedback. Parth's ability to perform well under pressure, coupled with strong communication and analytical skills, helps him achieve his goals. He is a quick learner and an inquisitive graduate student exploring NoSQL and DistributedSQL databases. Parth's tech stack includes Software Engineer, Spring, Javascript, NoSQL, Elastic Search, Microservices, Backend, SQL, Spring Boot, Search, Snowflake, UI, Spark, ReactJS, Java, Python, and Django. He is looking forward to collaborations and advice and welcomes connections on LinkedIn.