About

Rahul Singh is an experienced software engineer with over 8 years of experience in the marketing and advertising industry, GIS, and restaurant industry. He is skilled in various technologies such as Hadoop, Pig, Hbase, Sparks, Scala, Python, Machine Learning, and Neural Networks. He is a strong information technology professional with a Bachelor of Technology (B.Tech) focused on Computer Science from the Indian Institute of Technology (ISM), Dhanbad. Currently, Rahul is working as a Senior Member of Technical Staff at Salesforce. He has previously worked at various reputed companies such as Jio, Times Internet, Pitney Bowes, and Sapient. At Times Internet, Rahul worked on the search engine using Solr and improved the autosuggest and popularity logic of Dineout popular restaurant listing. He built the Dineout app Restaurant Recommendation Engine from scratch, which brought down the view to booking ratio by ~10% and increased the booking percentage. He also built a Clustering System to recommend relevant new restaurants, which increased the average view count by 5%. Rahul developed a Payment-Anomaly Detection using Spark SQL and streaming to send alert mail to the developers in the case of an anomaly. He also automated the Dineout Big Data Pipeline Systems on the in-house cluster and AWS. Rahul has a strong educational background, having completed his Bachelor of Technology (BTech) in Computer Science from the Indian Institute of Technology (ISM), Dhanbad. He also completed his 12th from Kendriya Vidyalaya and his 10th from the same school. Rahul's technical expertise includes Software Engineering, Salesforce, Java, Spark, Hadoop, ML, Search, ETL, Scala, Neural Networks, NoSQL, Kafka, SQL, Big Data, Integration, AWS, Sagemaker, Deep Learning, QA, and Backend. With his relevant experience of 8.53 years, Rahul is a valuable asset to any organization he works for.