Summary
Neda Ebrahimi is a Senior Data Scientist specializing in GenAI with a PhD in Computer Software Engineering and seven years of experience building production ML systems for large tech companies. She blends academic rigor—six published papers on ML-driven software engineering and bug localization—with hands-on expertise in Spark, TensorFlow/Keras, Python, Scala, Hadoop, and AWS. Her work spans end-to-end ML product delivery, from feature engineering and model selection to MLOps, A/B testing, and real-time recommendation or bidding systems. At companies including Walmart Global Tech, Microsoft, Samsung Ads and multiple e-commerce firms she has led both technical architecture and project management. Based in San Jose, she uniquely combines software engineering discipline with deep learning research, enabling practical solutions for large-scale data challenges. Beyond engineering, she has mentored PhD students and taught advanced programming, reflecting a commitment to developing technical talent.
7 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Software Engineering, Doctor of Philosophy - PhD, Computer Software Engineering at Concordia University
M.Sc., Computer Software Engineering, M.Sc., Computer Software Engineering at Iran University of Science and Technology
English, French, Persian