About

Mahdy Shirdel is a highly experienced Manager of Machine Learning Engineering with over 10 years of experience in scientific software development. He possesses expertise in statistical machine learning, artificial intelligence, signal processing, time series forecasting, data pipeline engineering, search and recommendation, and natural language processing. He is proficient in programming languages such as Python, pySpark, SQL, and C++, and is skilled in using tools such as pandas, scipy, numpy, plotly, tensorflow, scikit-learn, fastAPI, mlflow, metaflow, docker, git, and bash. Currently, Mahdy is working as the Manager of Machine Learning at TaskRabbit, where he leads the machine learning engineering team and builds ML platforms and services for enterprise solutions. His focus areas include search ranking, recommendation, NLP, casual inference, pricing, and other booking flow ML models for their marketplace. In the past, Mahdy has worked as a Senior Manager of Machine Learning Engineering at Beyond Limits, where he led the machine learning engineering team and cross-functional engineering activities to productionize models, develop algorithms, design data pipelines, and maintain the deployment ecosystem and models (MLOps). He was also a principal investigator for leading research projects with Caltech CAST team on various ML topics, including uncertainty quantification and game theory. His focus areas were time series, anomaly detection, multi-task learning, system dynamics, and deep learning, uncertainty quantification. Mahdy has also worked as a Senior Data Scientist at Chevron, where he was a subject matter expert in fiber optics distributed sensing for surveillance and developed solutions for high fidelity acoustic and temperature surveillance data using signal processing, machine learning, image processing, and other computational methods. He was also the principal investigator for an end-to-end fiber optics surveillance solution (storage/analytics/front end) and developed high-performance computing to tackle large dataset processing (segy, hdf5). Mahdy holds a PhD in Computational Fluid Dynamics from the University of Texas, where he also obtained his M.S.E in Computational Fluid Dynamics. He completed his Bachelor of Science in Mechanical Engineering from Sharif University of Technology. Mahdy's tech stack includes ML, search, NLP, SQL, Scikit, Python, Docker, research scientist, TensorFlow, pandas, software engineer, deep learning, data scientist, image processing, and frontend. He has relevant experience of 9.87 years.