Bimal Mohanty

Bimal Mohanty

Senior Software Engineering Manager At Capital One @ Capital One

About Bimal Mohanty

Bimal Mohanty is a Senior Software Engineering Manager at Capital One, with extensive experience in software development and big data technologies. He has held various leadership roles in companies such as Philips and IBM, and possesses a strong background in machine learning and cloud platforms.

Work at Capital One

Bimal Mohanty has been serving as a Senior Software Engineering Manager at Capital One since 2021. In this role, he oversees software development projects and leads engineering teams in Boston, Massachusetts. His responsibilities include managing technical initiatives and ensuring the delivery of high-quality software solutions that meet business needs.

Previous Experience at Philips

Prior to his current position, Bimal worked at Philips from 2016 to 2022 as a Big Data Architect and IoT Lead. During his six years in the Greater Boston Area, he focused on leveraging big data technologies to enhance IoT solutions, contributing to the development and implementation of innovative data-driven strategies.

Career at IBM Global Business Services

Bimal spent eight years at IBM Global Business Services from 2007 to 2015, where he held the position of Technical Lead and Tech Manager in the Columbus, Ohio Area. His role involved leading technical teams and managing projects that integrated advanced technology solutions for clients.

Educational Background

Bimal Mohanty holds a Master of Computer Applications (MCA) from the National Institute of Technology Rourkela, where he studied from 1994 to 1997. He also earned a Bachelor of Science (BSc) degree from Orissa University of Agriculture and Technology, studying Mathematics, Physics, and Chemistry from 1991 to 1994.

Technical Skills and Expertise

Bimal has extensive experience with big data technologies including Hadoop, Cloudera, and Spark. He is skilled in data streaming and messaging technologies such as Kafka and MQTT. His expertise extends to developing machine learning algorithms for financial forecasting using AWS services and understanding intelligence analytics. He is proficient in web technologies like REST, Angular JS, and Ajax, and has a strong background in programming languages including Java/JEE, Spring, Android, Scala, and Python.

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