About Amit Kumar Dey

  • Are you open to working remotely? Yes
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    United States
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About me

As a Software Engineer with a passion for Artificial Intelligence, I am seeking full-time opportunities in Software Development,AI, ML, and Data Science domains. I am currently pursuing my MS in Engineering Sciences (AI) at University at Buffalo, where I have gained hands-on experience in various AI techniques and tools, such as Robot Operating System (ROS), Metaphactory, and Spark.

Previously, I worked as a Software Engineer at LTI – Larsen & Toubro Infotech for almost three years, where I led and mentored a team of six, boosted productivity by 50% through IBM-MQ integration, and optimized micro-services to reduce data processing time by 40%. I also interned at Bhabha Atomic Research Centre, where I enhanced UI speed by 68% using Bootstrap and implemented client-side validation using jQuery. I have developed strong skills in DevOps, MongoDB, GraphQL, Stardog, Python, Java, and MATLAB, and have completed multiple noteworthy projects in AI, ML, and Data Science. I am eager to apply my skills and knowledge to solve real-world problems and create positive impact.

Education

Experience

  • 2019 - 2022
    Larsen and Toubro Infotech, Mumbai, India

    Software Engineer

    • Boosted productivity of more than 100 flows by 50% by incorporating batch processing to IBM-MQ integration
    thereby reducing up to 150 incidents a month
    • Led and mentored team of 6 while collaborating with more than 10 people to introduce monitoring on Linux
    servers leading to 100% Service Level Agreement adherence and client appreciation
    • Maintained and optimized 4 micro-services to collect and analyze data from 6 different sources, resulting in a
    40% reduction in data processing time
    • Orchestrated daily stand-up meetings within a team of 30 and consolidated monthly reports from 4 teams

  • 2018 - 2018
    Bhabha Atomic Research Centre, Mumbai, India

    Project Intern

    • Increased speed of existing UI by 68% by creating a highly responsive UI through Bootstrap Responsive classes
    • Implemented a prototype for two-step client-side validation using jQuery and JavaScript on User Interface,
    reducing form submission errors by 50%

Skills

AWS Azure Bash c GraphDB GraphQL Groovy Hadoop Hibernate IBM MQ Java JAVASCRIPT Keras Matlab Metaphactory MongoDB Numpy OpenCV Oracle SQL Pandas python Pytorch Robot Operating System (ROS) Shell Sklearn Spark SpringBoot Stardog Tensorflow
 
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