* Design and implement scalable, reliable and secure infrastructure to support machine learning systems.* Manage development and production environments and monitor performance and costs.* Explore and implement best practices to reduce the cycle time between the development and deployment of models.* Design and implement continuous delivery/deployment while ensuring code and data quality through testing.

* Developed and maintained scalable data pipelines to process large volumes of data.* Worked with distributed computing systems to process and analyze data.* Used cotinuous integration/deployment practices to automate the testing and deployment of data processing code.* Ensured compliance with data governance and security policies.

* Developed business functionalities using Apex and Lightning Components in Salesforce* Created parsers to collect customer data and integrate it into a database* Implemented a Natural Language Processing (NLP) classifier to expedite the categorization of airplane incidents* Automated processes and tasks to enhance operational efficiency

As a Machine Learning Researcher, I collaborated with a team to develop a cutting-edge Contextual image classification system utilizing fine-tuned graph neural networks. Our work was recognized and published in ICAISC2021 (https://link.springer.com/chapter/10.1007/978-3-030-87897-9_2)

As a Data Scientist, I worked on algorithms to detect weeds for selective spraying systems. We aimed to optimize targeted weed elimination and minimize herbicide usage.

Besides my Web Developer role, I was Co-Founder of the "Unect Edu" Project - A project to train & prepare college students for market technologies.