About

Namish Maheshwari is a highly skilled Software Engineer III currently working at Walmart, with 3.68 years of relevant experience in the field. He graduated from Thapar University, Patiala in 2016, with a CGPA of 9.11/10, and pursued coursework in Algorithms, Data Mining, and Machine Learning. Namish has always been passionate about developing things, and during his undergrad years, he developed an Online Hostel Room Booking Portal, for which he received a ‘Certificate of Appreciation’ from the university and won many academic awards. In the industry, Namish has been a spot award winner for his valuable inputs, and he has actively worked as a back-end developer. He was a part of 2 applications, both of which were created from scratch, and he led these applications with small team sizes of 2-3 people. He was also involved in the freshmen training and task assignment at Walmart Labs. Namish loves to work on challenging problems and make significant contributions to interesting, high-impact projects. He has worked on big data technologies and feels it would be the ideal place for him to advance his career. He believes that he can be an excellent addition to any team. Namish has worked as a Machine Learning Engineering Intern at Apple, where he worked with the Apple News team to improve ~5% recall with no drop in the precision of the stocks-tagger by automatic detection of stock symbols using the stock aliases. He has also set up alerts and monitoring for high-profile stocks symbols like recent IPO’s and high subscriber symbols. Namish has a Master of Science in Computer Science from the University of Southern California, which he completed in 2020. He also has a Bachelor of Engineering in Computer Science from Thapar University, where he studied from 2012-2016. Namish has a strong understanding of distributed architecture and big data technologies like Hadoop, Map/Reduce, Hive, and Spark. He has also gained deeper insight into agile ways of working, real-life usage of distributed databases and message queues like Kafka, and software engineering best practices for deployment to production. Namish's tech stack includes Software Engineering, Machine Learning, Backend Development, Big Data, Spark, Hadoop, Kafka, and Apache Hive. He is a highly motivated and skilled software engineer who is always looking for new challenges and opportunities to learn and grow.