Saeed Ahmadian

About Saeed Ahmadian

Sr. Data Scientist at Walmart Global Tech, Sunnyvale, CAData driven solutions and AI in e-commerce and marketing decision science-> Sr. Data Scientist at Benson Hill, St. Louis, MoImplement cutting-edge AI methods such as deep learning computer vision algorithms and predictive models to improve breeding Analytics-> Data Scientist at Afiniti, Washington DC.Implement and Design Bayesian Statistical Models including Hamiltonian Monte Carlo sampling, Variational Inference and Bayesian Deep networks-> Machine learning and Data Scientist Researcher, University of Houston, Houston, TX.• Design and implement parallel distributed learning API including deep model and big data parallelism on AWS SageMaker using Pytorch and GCP AI Platform using Tensorflow.• Conduct Bayesian Inference analysis to find the uncertainty and risks in cyber-attack detection systems using Hamiltonian Monte Carlo Markov Chain and Variational Beyesian Inference deep networks.• Design novel variational sequence to sequence text generation platform to create sequence suggestion for academic papers. I used NLTK, Probabilistic Tensorflow APIs and combination of LSTM, GRU and Variational Auto-encoders structures.• Conduct new self-learning algorithm based on deep residual actor-critic reinforcement learning and Monte Carlo tree search in smart energy systems. The method is based on AlphaGo Zero rules.• Developed cyber-security methods using machine learning algorithms including generative adversarial deep networks, deep CNN classifiers. Tensorflow, Pytorch, Keras, SciKit-Learn, Scipy, Statsmodels and Pyspark are major machine learning packages used on local machines or clusters and clouds.• Designed the optimal classifier selection and Time-series prediction python packages for signal processing. Implemented on IBM Watson clusters using Spark big data platform.• Implemented new deep learning object detection methods including YOLO v2 & v3 to find fault locations in electricity grids and improve system resiliency.• Conducted various statistical clustering and regression techniques to develop predictive models and classifiers in R using various packages including dplyr, dubridate, car, mgcv, lme/nlme, caret and etc-> Data Science Intern, Smart Wires Inc, San Francisco, California, CA.• Developed new machine learning API using deep reinforcement actor-critic learning on google cloud to solve the nonlinear optimization programming of company’s clients.

Experience

1. Senior Data Scientist

   Walmart Global Tech

   Jun 2022 — Present · Sunnyvale, CA, US

Education

• Amirkabir University of Technology - Tehran Polytechnic

  Master's degree, Electrical and Electronics Engineering

  2011 — 2013

• University of Houston

  Doctor of Philosophy - PhD, Computer and Electrical Engineering

  2016