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I'm a Machine Learning Software Engineer at Meta (aka Facebook) in California. Prior to joining Meta, I worked at Apple as an ML Software Engineer where I worked on adding ML & AI -backed features to a subgroup of Apple products. I have done my Ph.D. research at Stanford University where I worked on a wider range of projects in the areas of applied machine learning, artificial intelligence, computational science, and numerical modeling. I'm interested in using ML & AI to solve challenging real-world problems. I have 5+ years of demonstrated experience in software development, large-scale data analysis, and building machine learning and deep learning models for different applications such as computer vision, natural language processing, and reinforcement learning. I have worked across the United States and Europe in different tech companies such as Apple, Netflix, Visa Research, Quantum Reservoir Impact, CalWave, and ABB.
June 2022-Now, Menlo Park, CA
Jan. 2021-May 2022, Cupertino, CA
GPA 4/4 Stanford Graduate Fellowship (SGF) winner
2016-2020, Stanford, CADetection of Suspicious Streaming Behaviors - Security & Machine Learning
June-Sept. 2020, Los Gatos, CAAdversarial Machine Learning - Security & Computer Vision
June-Sept. 2019, Palo Alto, CAUn-supervised machine learning, spatio-temporal clustering, code development, numerical simulations, and history matching
June-Sept. 2018, Houston, TXSoftware development, complex 3D geometry generation, gradient-free shape optimization, hyperformance computing
Jan.-Oct. 2016, UC Berkeley, CAData analysis and code development for numerical simulations
Aug.-Dec. 2015, Zurich, SwitzerlandGPA 6/6 Distinct graduate (top 1%) and nominee for the ETH gold medal ETH Excellence Scholarship & Opportunity Award (ESOP) winner
2014-2016, ETH Zurich, CH & UC Berkeley, CAGPA 4/4 Graduated as 1st rank student
Aug. 2010-Aug. 2014, University of Tehran, Iran© 2022 Soheil