Ajin Raj

Experience

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  Biocon

  Feb 2016 - Sept 2016

  Intern- Industrial Automation

  During my internship at this organization, I supported industrial automation commissioning using a broad spectrum of Industrial IoT devices.

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  Vaidyanatheshwara Instruments

  Oct 2016 - May 2018

  IIOT Automation Engineer

  During my tenure at this organization, I conducted industrial automation commissioning using a broad spectrum of Industrial IoT devices across various production industries.

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  Hatsun Agro Product Ltd

  May 2018 - Oct 2021

  IIOT Automation Engineer

  Data Aggregation & Cloud Integration using python: Used Python to aggregate data on an hourly basis and send it to the cloud for efficient monitoring and analysis.PLC Ladder Logic Programming: Developed and troubleshot PLC programs to control automation systems and ensure smooth operations.IoT Device Troubleshooting: Diagnosed and resolved issues with IIoT devices to ensure seamless integration with DCS and PLC systems.SCADA Process Visualization: Created P&ID diagrams in SCADA systems for real-time process visualization and control. Show less

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  Axcend Automation and Software Solution- (Client- ABB R&D)

  Oct 2021 - Jan 2023

  Cloud Software Engineer

  I was involved in developing a cloud-based web app to periodically verify Industrial IoT devices and generate reports. An edge application on a microcomputer aggregates and sends verification data to the cloud. The cloud app, hosted on a EC2 instance with MongoDB, stores the data and generates reports.Key Skills: Python, AWS Services and Tableau.

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  Autoscope Technologies (Image sensing system)

  Jan 2023 - now

  Cloud Software Engineer

  As a Cloud Software Engineer, I designed and developed the entire IoT infrastructure pipeline for receiving real-time data from a camera-based device. This includes managing AWS IoT Core, Kinesis, Lambda functions, and a PostgreSQL database. I also used Tableau for data visualization.I developed the entire backend of a video upload web application, where uploaded videos are processed by ECS tasks. I utilized the following AWS resources to develop the backend: Lambda, API Gateway, ECS, S3, SNS, SQS, Cognito, CloudFormation, IAM, CloudWatch, and CloudFront. Show less