Soroosh Poorgholi

Machine Learning Lead at BrainCreators

Soroosh Poorgholi has worked in the field of AI and Machine Learning for the past three years. In 2019, they completed a Master Thesis at Technische Universiteit Delft and also worked as a Back End Developer Intern at Innovattic. In 2020, they were a Principal AI Engineer at Bybr, where they managed a team of three to implement data in a graph database platform, designed data models for unstructured data, and managed a team to design a tool for synthetic data generation. Soroosh was also a Computer Vision Engineer at Bybr, where they implemented a text localization Neural Network, benchmarked a language-agnostic text recognition network, and designed and implemented an API and web platform for a complete text detection platform. In 2021, they were a Computer Vision Engineer at Envision, where they were the project lead for research and development of a real-time document guidance feature for blind and visually impaired using image segmentation, managed large-scale data collection and annotation pipelines, and customized the model architecture to increase the on-device inference speed by 1000%. Soroosh is currently a Machine Learning Engineer at BrainCreators.

Soroosh Poorgholi has an education history that includes a Master of Science in Embedded Software from Delft University of Technology, which they are currently enrolled in, and a Bachelor of Electrical Engineering from Shahid Beheshti University, which they completed in 2017. Soroosh has also obtained several certifications, including Introduction to Microsoft Azure Cloud Services from Coursera in 2022, AI for HealthCare Application from FruitPunch AI in 2022, Artificial Intelligence A-Z\u2122: Learn How To Build An AI from Udemy in 2018, Deep Learning A-Z\u2122: Hands-On Artificial Neural Networks from Udemy in 2018, Machine Learning A-Z\u2122: Hands-On Python & R In Data Science from Udemy in 2018, International Train the Trainers seminar at Istanbul, Turkey (ITTT) from AIESEC in 2017, and International Train the Trainers seminar at Tehran, Iran (ITTT) from AIESEC in 2016.

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Timeline

  • Machine Learning Lead

    July 1, 2023 - present

  • Machine Learning Engineer

    November, 2022