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Software Engineer
Analog Devices•  May 2021 - Present
• Developed a model deployment tool in AWS to upload, train and deploy trained models to Analog Devices AI occupancy sensor . The tool was built with scalability, high availability and cost in mind making use of services such as Lambda, and Fargate, replacing the previous solution of using on-demand EC2 instances and reducing the monthly cost by almost 70%. • Developed a Smart Meeting Room solution that used MS Graph for querying upcoming meetings and adjusted the rooms environment accordingly before, during and after the meeting. • Made technology recommendations by staying up-to-date on new development and platforms, keeping an eye out for the right tool for the job, and taking the lead in setting up those tools. • Work in an agile software development team to complete various epics through sprints, working in conjunction with other developers and engineers from different business units. • Set up and maintained OpenStack for internal and on-site development. • Developed Kafka sink and source connectors for real-time metadata enrichment from a source such as MQTT and Modbus RTU and use Acryls Datahub to show data lineage.
Software Engineer
Mentor Graphics•  May 2019 - January 2020
• Successfully installed Linux and Windows servers and virtualized environments using Vmware • Designed and implemented Spring web application, streamlining high-server traffic resource configuration and allocation. • Fixed legacy code in Bash, Perl, and Powershell • Automated backup to linear tapes process using Perl and created a rest API for tape reporting using Django • Automated the patching process of Windows virtual machines and implemented the front end of this application using Spring and Angular • Developed and managed deployment, reporting, and project solutions with scripting, automation, and orchestration tools
Education
University of Limerick
Computer Science, BS•  August 2017 - May 2021
Graduated with First Class Honours Final Year Project - Title: Sense – A Carbon Monoxide Cloud Sensor Service For my final year project, I co-developed a smart carbon monoxide alarm that linked with a mobile application written in Flutter and also integrated with a smartwatch to alert hearing-impaired individuals. The backend and fleet management of IoT devices was developed on AWS. My final year project was developed in partnership with Ei Electronics. Final Year Project Video Link - https://vimeo.com/533433234
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