Kianoosh Ghazi

Kianoosh Ghazi, Ph.D. has a diverse work experience in the field of software engineering, data and machine learning, and research. Kianoosh served as a Senior Software Engineer (AI Lead) at Metafoodx since 2023. Prior to that, they worked as a Data and Machine Learning Engineer at Amazon Web Services (AWS) from 2022 to 2023, where they built cost-effective and safe machine learning backend and created machine learning models and evaluation metrics. Kianoosh also designed and developed a machine learning continuous training pipeline. Before AWS, Kianoosh was a Machine Learning Engineer at hireEZ (previously Hiretual) from 2021 to 2022. During their time there, they led efforts to develop, deploy, and maintain large-scale NLP-based microservices and created NLP models that resulted in a deal generating $1M revenue. Kianoosh also owned data ingestion, serving, and continuous training pipelines on production.

From 2017 to 2021, Kianoosh worked as a Research Assistant at Worcester Polytechnic Institute. In this role, they led projects to incorporate deep learning for estimating concussion risk in football players and successfully improved brain injury assessment time. Kianoosh also has experience as a Machine Learning Engineer at Boston Scientific in 2019, where they developed a computer vision-based automated pipeline and designed autonomous endoscope navigation using reinforcement learning. Additionally, Kianoosh worked as a Software Engineer at Djawad Mowafaqian Research Center for Neuro-rehabilitation Technologies in 2013, where they built a rehabilitation monitor and developed a software platform for assessing patient health improvement.

Overall, Kianoosh Ghazi, Ph.D. brings a strong background in software engineering, data and machine learning, and research to their work.

Kianoosh Ghazi, Ph.D. received their Doctorate of Philosophy from Worcester Polytechnic Institute in 2021. Prior to that, they completed their Bachelor of Science at Sharif University of Technology from 2012 to 2017. In addition to their academic achievements, they obtained the certification of Amazon Web Services Solutions Architect - Associate from Amazon Web Services (AWS) in March 2023.