About

Sonu Sharma is a highly skilled software engineer with over 6 years of experience in Search and Content Systems. He has a strong background in building Microservices in Java (Spring-Boot), Python (Flask), Containerization, AWS Lambda, Big Data and Analytics for backend ETL, Distributed Systems, and other AWS stacks. He is also knowledgeable in Personalized Search and Relevancy, and has a basic understanding of building UI mainly using Node-JS. Sonu is experienced in Statistical/Deep Machine Learning, particularly in Natural Language Processing (NLP) for Query Understanding, Computer Vision for Image-Search, and OCR. He has a blog with overall 100k+ views, where he shares his insights on various topics related to his field. Sonu is skilled in Spring-Boot, Flask, Spark, Hadoop, Kafka, Cassandra, Docker, Kubernetes, AWS and its services, Tensorflow 2.0, Skicit-Learn, Keras, and codes in Java, Python, C, C++, and Javascript/TypeScript. He is also a Tech Speaker at Data Hack Summit 2019 & MLDS-2020. Currently, Sonu is working for Apple as a Software Engineer for the Search team in Applied Machine Learning. In the past, he has worked with Amazon as an SDE-2, where he worked with Content Systems in Shopping Foundation mainly on Marketing Automation and Experimentation initiative. He has also worked with Walmart as a Software Engineer III, where he completed the implementation of Query Understanding in Search with Category Classification, built Image Search for Recipes using Deep Learning Model and Similarity Search Engine, and implemented a Model based on Deep Reinforcement Learning for Personalized Search. Sonu holds a Bachelor of Technology (B.Tech.) in Computer Science from NIT, Allahabad. His technical skills include Software Engineering, Search, AWS, NLP, Spring, Flask, ML, Python, Microservices, Keras, Computer Vision, Java, Spark, Cassandra, Hadoop, Kafka, Big Data, Kubernetes, Docker, Javascript, Typescript, Tensorflow, ETL, UI, Backend, ECS, Data Engineering, Elastic Search, Reinforcement Learning, Deep Learning, Spring Boot, GCP, and NodeJS.