About

Omid Askarisichani is a highly skilled Machine Learning Software Engineer currently working at Google in Mountain View, California. He has a PhD in Computer Science from UC Santa Barbara and a background in software engineering and artificial intelligence. Omid is a US permanent resident with experience in applying machine learning and data science in both academic and industry settings. At Google, Omid's work involves designing and developing large-scale, dynamic, and evolving ML models that solve real and challenging worldwide spread problems in Google Maps. He has implemented and validated a counterfactual model for predicting targeted user search behavior, increasing the speed of the conventional technique by a factor of 3 and conducting research for further streaming model. Omid has also led an end-to-end machine learning project, including survey and sampling design, data collection, data cleaning, data analysis, modeling, and developing software engineer production software, applying an array of multiple convex optimization metric learning models to many non-convex deep neural networks model such as dual encoders on a real-world Google scale data. Omid's PhD research focused on applying techniques from data mining, machine learning, and network science to study how social networks can be predicted and impacted. He also explored how statistical analysis and deep learning can be utilized for improving team performance and user modeling. Omid has applied machine learning and data science outside of academia at companies and laboratories both large and small. At Max Planck Institute, he conducted research on modeling diffusion on social networks using Hawkes process. At Hekmat bank, he orchestrated the risk analysis software in a team of researchers and developers. Omid's education history includes a PhD in Computer Science from UC Santa Barbara, an MSc in Artificial Intelligence from Sharif University of Technology, and a BSc in Computer Software Engineering from the University of Isfahan. His tech stack includes ML, software engineering, research scientist, data scientist, deep learning, neural networks, and search. With 3.46 years of relevant experience, Omid is a highly skilled and accomplished Machine Learning Software Engineer with a passion for solving challenging problems using cutting-edge technologies.