~10 years of professional experience as a Tech Lead, Software Engineer, Data Scientist, Simulation Specialist, and Engineer across analytics, AI, data science, and engineering. Specializes in building data-driven solutions by integrating machine learning, generative AI, and synthetic data from finite-element and Monte Carlo simulations to solve complex industry challenges. Experienced with Azure, AWS, Databricks, and Snowflake to build and deploy scalable ML and GenAI solutions. Brings expertise in Apache Spark and cluster optimization, with a focus on performance tuning and efficient distributed computing. Strong background in system design and robust validation of GenAI systems, grounded in a practical, cross-disciplinary approach to problem-solving. Let's connect on LinkedIn.
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Arcurve Inc.
- Calgary
- https://www.linkedin.com/in/farhad-davaripour/
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AI_Applications_in_Pipeline_Engineering
AI_Applications_in_Pipeline_Engineering PublicThis repository uses machine learning to map pipeline anomalies, predict future depths, and fill missing data to improve pipeline integrity management.
Jupyter Notebook 1
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FEA_Assisted_Agent
FEA_Assisted_Agent PublicAn AI-driven tool integrating Abaqus and OpenAI's LLM for automating finite element simulations, including input file generation, job execution, stress extraction, parametric studies, and sensitivi…
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CFRP_Reinforced_HDD_overbend
CFRP_Reinforced_HDD_overbend PublicThis project employs machine learning and synthetic dataset to predict the peak equivalent stress imposed on a CFRP wrapped HDD overbend
Python 3
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Stanford-CS229-Spring2023-Notes
Stanford-CS229-Spring2023-Notes PublicCS229 course notes from Stanford University on machine learning, covering lectures, and fundamental concepts and algorithms. A comprehensive resource for students and anyone interested in machine l…
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