Omid Saremi, Phd Email & Phone Number

Cupertino, California, US

AI/ML research at Apple's Machine Learning Research (MLR).

Cupertino, California, US

Deep learning, NLP, relevance ranking at Siri Search

US

I lead data science team at Verizon Labs (IPTV). Machine learning, large-scale recommender systems.

US

Large-scale machine learning/recommender system design/implementation on massive datasets using Apache Spark among other technologies in a distributed environment (Mesos/Chronos-managed cluster). End-to-end challenging data science/machine learning projects from algorithm design and prototyping to deployment to production environments.

San Francisco, California, US

- Built the backend of a Python machine learning app, as part of a larger SaaS product (using scikit-learn, Numpy/Scipy and Pandas) which provided insight into the performance of packing plants leveraging client's historical internal data using Bayesian methods. - Trained machine learning models, utilized Monte Carlo and Bayesian methods in modeling..

Vancouver, British Columbia, CA

- Wrote code to employ Monte Carlo simulations in C++ to model physical systems and sample distributions.- Trained linear and polynomial regression models (post analysis) on simulated data sets using R to create predictive models of high energy particle collisions. - Performed research in string theory, including applications of the holographic duality.

Berkeley, CA, US

- Studied the problem of charge/momentum transport of charge in disordered media using in many-body systems connections to the theory of (large) Random Matrices and holography using statistical tools.

Berkeley, CA, US

- Conducted Markov chain Monte Carlo simulations on a HPC clusters.- Performed statistical analysis on simulated particle collision data using R/ggplot2. - Discovered solution to an open physics modeling problem, with the result called the Saremi-Son formula.

Montreal, Qc, CA

- Employed Monte Carlo for a large scale convex optimization problem in the context of a physical model using Python for deeper understanding of microscopics of black holes.- Performed extensive mathematical modeling on applications of string theory in understanding properties of the exotic state of matter the so called Quark-Gluon Plasma, created in early.

Doctor Of Philosophy (Ph.D.), Theoretical High Energy Physics (String Theory)

Machine Learning Using Apache Spark