About

Harshita Singh is a highly skilled Software Engineer with over 2 years of experience in building robust data infrastructures and architecting production-ready systems for various use cases such as customer retention and fraudulent login detection. She possesses deep expertise in Hadoop technologies, big data, and AWS frameworks. She has worked on multiple technologies and tools including Python, AWS (ECS, EC2, Aurora, DynamoDB, SQS, CodeDeploy, ELB, Route53), Hive, Tableau, Java, Kafka, and Docker. Harshita is a quick learner, self-driven, and hard-working individual known for taking ownership and executing projects and events well. She has experience in building scalable, high availability frameworks that can handle 1000+ requests a second with an average response time of 200 milliseconds. She has collaborated with multiple teams, staying on top of tasks and getting work done. She is familiar with the Kanban framework and software development life cycle. She is currently working as a Senior Member of Technical Staff at Salesforce, where she is responsible for developing and maintaining scalable systems that can handle large amounts of data. Prior to this, she worked as an Associate Machine Learning Engineer at LogMeIn and as a Summer Research Intern at the Indian Institute of Science. Harshita is a two-time awardee of CNR Rao Scholarship. She has also worked on two publications in the field of Machine Learning and Data Science, with one paper and one patent currently under review in the fields of computing and healthcare. She is passionate about giving back to society and is involved in CSR, Cultural events, and other activities outside work. Harshita holds a BTech degree in Computer Science from PES University, where she graduated in 2019. Her technical expertise includes Software Engineering, AWS, Salesforce, ML, Data Science, SQL, Kafka, Python, Java, ECS, Spark, Big Data, Docker, Hadoop, and Apache Hive. With relevant experience of 3.78 years, Harshita is a highly skilled and motivated professional in the field of software engineering and data science.