Muhammad E. Email & Phone Number

San Diego, California, United States

Greater Los Angeles Area

- Utilized HIPAA-compliant cloud services, AWS ,GCP, Aptible for ML projects.- Worked on Computer Vision tasks as part of the behavioural economics initiatives.- Performed Computer Vision tasks from inception/proto-typing to production/deployment.- Part of the 2-week Agile (scrum) sprint planing.- Worked on multiple projects in parallel.

Irvine, Ca

* Performed ML (SageMaker) and predictive modelling for corporate clients.* Performed training and inference for anomaly detection algorithms using AWS SageMaker for enterprise clients.*Utilized Docker containers for ML production models.* Followed Agile best practices.* Part of AWS ML competency network.* AWS certified professional.

Orange County, California Area

* Using common data mining paradigms with tools such as Jupyter notebooks and NumPy/Pandas libraries to query, read and compile data for multiple ML hands-on projects,* Used classification techniques (Random Forests, AdaBoost, GradientBoosting and XGBoost) to: 1) predict loan defaults on a financial dataset with numerical and categorical features 2) predict the survival probability for the titanic dataset (Kaggle-based) 3) predict the failure of service disruption of cell towers.* Used regression techniques (Linear/Logistic Regression, GradientBoosting Regression) to: 1) Estimate house prices in the Ames housing dataset 2) Estimate house prices in the Kings County housing dataset.* Used sklearn metrics such as; accuracy, f1-score, precision and recall to evaluate the performance of the above mentioned projects.* Evaluated the importance of features and performed a grid search to aid in the optimization of the model parameters.* Built a recommendation system (knowledge, item and user based) using the MovieLens dataset.* Used docker to run Spark for recommendation system purposes. The RS also ran on AWS Spark EMR.* Used NLP tool-kit to analyze twitter feeds.* Used the OpenCV library to perform image recognition.

Irvine, Ca

* Analysed big data for the SuperKamiokande experiment in Japan.* Collected, data wrangling of collected data. Removing outlier events by time-likelihood techniques. Algorithms designed in C++ and FORTRAN.* Analysing rare solar neutrino events by designing the WIT trigger system.*Developed Bash and Tcsh script to automate the data taking process.*Experience in different regression techniques (Linear, logistic, etc.)*Proficiency in quantitative analysis and predictive modelling.* Strong knowledge of statistical techniques.

Tuscaloosa, Alabama Area

Developed a machine learning classification framework in C++ using the KMeans and DBScan clustering algorithms for a US-based neutrino experiment.Tuned the Hough tracking algorithm used for reconstructing muon tracks in a neutrino experiment.Utilized a Monte-Carlo simulations system using MATLAB for a dark matter experiment.Used R scripts to visual and analyze the collected neutrino experiment data.Working knowledge of Spark and machine algorithms using R.Held responsibility as a shift leader for the France-based Double Chooz experiment.

Nantes Area, France

Developed a cosmogenic Monte-Carlo generator for the purpose of simulation background events to a french neutrino experiment in C++ and Shell scripting .Developed an MySQL backend for the calibration constants for the neutrino experiment.

** Conducted research in pursuit of a Ph.D in Nuclear Experimental Physics. The research was conducted with the STAR detector located at Brookhaven National Lab (BNL).** The Relativisitc Heavy Ion Collider was built with the purpose of discoverying the Quark Gluon Plasma expected to have existed in the few seconds after the big bang. The STAR experiment is the premier experiment at the collider.** Developed an analysis for the new Dihadron Fragmentation Functions (DFF) in proton+proton collisions at STAR.

· Instructed and graded the Descriptive Astronomy (AST2010) course.

· Independantly instructed and graded laboratories including PHY2131 (General Physics Lab for pre-meds), PHY2181 (General Physics 2 Lab for engineers), and PHY1020 (Conceptual Physics Lab). · Quiz Instructor: Gave quizzes and explained solutions to homework problems.

Ph.D, Gpa 3.8, Nuclear Physics

· Thesis Topic: Dihadron fragmentation function using fully reconstructed jets in proton+proton collisions at the Relativistic Heavy Ion.

M.S, Physics