Sandeep Mishra

Software development engineer at Amazon

San Diego, California, United States

About

Working as Software Developer with 7 years of proven success in designing and implementing software applications/components. Excellent problem-solving skills with keen eye for detail. Outstanding knowledge of coding languages, including Java and Python and skilled in understanding business problems to develop systems that improve functionality.

Experience

  • Amazon (8 yrs 3 mos)
    • Software development engineer 2
      Apr 2022 - Present · 4 yrs 4 mos

    • Software Development Engineer
      May 2020 - Apr 2022 · 2 yrs

      Developed and implemented software applications and components based on thorough requirements analysis, adhering to industry technical standards. Built and configured microservice infrastructure on AWS, deploying new RESTful microservices using ECS, ECS/Fargate, and Lambda, while leveraging various AWS services (CI/CD, S3, DynamoDB, Aurora, SQS, etc.). Designed and optimized highly available, scalable services on AWS, handling billions of requests per month. Created and deployed real-time ETL pipelines utilizing AWS components such as Kinesis Streams, Firehose, Lambda, SNS, SQS, Glue, and Glue ETL. Integrated these pipelines with multiple AWS sources and destinations, including S3, DynamoDB, Kinesis Streams, Redshift, and Data Lakes.

    • Application Engineer
      May 2018 - May 2020 · 2 yrs 1 mo

  • Sr. Specialist (NLP & Chatbot) at Sutherland
    Dec 2017 - Apr 2018 · 5 mos

    Focused on different chatbot frameworks available in the market and thier limitations. Explored dialogeFLow, RASA, Motion, Meya.ai framework and created many POC's using them. Worked on different usecases using suitable frameworks and understood integration challenges, explored SDK's available etc.

  • Software Developer at Wipro Holmes at Wipro Limited
    Nov 2015 - Dec 2017 · 2 yrs 2 mos

    Worked on chatbots using natural language processing and ML, processed natural language text to understand the intent and entity from the sentence. Designed intent classification algorithms also used RASA NLU and Dialogue Flow. Extensive knowledge and understanding on principles of data structure and algorithms. Experience on developing product from scratch by designing the product architecture. Worked on UML generation bot from the system requirement specification using natural language processing. Responsible for analyzing data, finding patterns and then building solution. concepts involved information extraction, named entity extraction, chunking, sometimes linguistic analysis etc. Worked on testcase validation bot using natural language processing to violations, I.e. incomplete testcase, duplicate test cases etc.