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I am an experienced Data Scientist and AI/ML Engineer with a unique blend of expertise across data engineering, machine learning, and advanced AI capabilities developed through years of work at CERN and MIT, handling sophisticated analyses and large-scale data. I excel at leading end-to-end projects, from building scalable data pipelines to deploying retrainable ML/AI systems, and I bring rigorous statistical analysis, uncertainty quantification, and practical, collaborative problem solving to deliver impact across research, finance, real estate, and technology sectors.\n\nI thrive in cross-disciplinary teams, translating scientific challenges into production-ready models and data systems. My work spans from end-to-end data engineering to ML research and LLM-based applications, combining rigorous uncertainty quantification, reproducibility, and DevOps discipline to drive impact across sectors.…I am an experienced Data Scientist and AI/ML Engineer with a unique blend of expertise across data engineering, machine learning, and advanced AI capabilities developed through years of work at CERN and MIT, handling sophisticated analyses and large-scale data. I excel at leading end-to-end projects, from building scalable data pipelines to deploying retrainable ML/AI systems, and I bring rigorous statistical analysis, uncertainty quantification, and practical, collaborative problem solving to deliver impact across research, finance, real estate, and technology sectors.\n\nI thrive in cross-disciplinary teams, translating scientific challenges into production-ready models and data systems. My work spans from end-to-end data engineering to ML research and LLM-based applications, combining rigorous uncertainty quantification, reproducibility, and DevOps discipline to drive impact across sectors.

Mohammad Mousavi

Data Scientist, AI Engineer, DevOps Developer, +4

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I am an experienced Data Scientist and AI/ML Engineer with a unique blend of expertise across data engineering, machine learning, and advanced AI capabilities developed through years of work at CERN and MIT, handling sophisticated analyses and large-scale data. I excel at leading end-to-end projects, from building scalable data pipelines to deploying retrainable ML/AI systems, and I bring rigorous statistical analysis, uncertainty quantification, and practical, collaborative problem solving to deliver impact across research, finance, real estate, and technology sectors.\n\nI thrive in cross-disciplinary teams, translating scientific challenges into production-ready models and data systems. My work spans from end-to-end data engineering to ML research and LLM-based applications, combining rigorous uncertainty quantification, reproducibility, and DevOps discipline to drive impact across sectors.…I am an experienced Data Scientist and AI/ML Engineer with a unique blend of expertise across data engineering, machine learning, and advanced AI capabilities developed through years of work at CERN and MIT, handling sophisticated analyses and large-scale data. I excel at leading end-to-end projects, from building scalable data pipelines to deploying retrainable ML/AI systems, and I bring rigorous statistical analysis, uncertainty quantification, and practical, collaborative problem solving to deliver impact across research, finance, real estate, and technology sectors.\n\nI thrive in cross-disciplinary teams, translating scientific challenges into production-ready models and data systems. My work spans from end-to-end data engineering to ML research and LLM-based applications, combining rigorous uncertainty quantification, reproducibility, and DevOps discipline to drive impact across sectors.

Available to hire

I am an experienced Data Scientist and AI/ML Engineer with a unique blend of expertise across data engineering, machine learning, and advanced AI capabilities developed through years of work at CERN and MIT, handling sophisticated analyses and large-scale data. I excel at leading end-to-end projects, from building scalable data pipelines to deploying retrainable ML/AI systems, and I bring rigorous statistical analysis, uncertainty quantification, and practical, collaborative problem solving to deliver impact across research, finance, real estate, and technology sectors.\n\nI thrive in cross-disciplinary teams, translating scientific challenges into production-ready models and data systems. My work spans from end-to-end data engineering to ML research and LLM-based applications, combining rigorous uncertainty quantification, reproducibility, and DevOps discipline to drive impact across sectors.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Language

Persian

Fluent

English

Fluent

Work Experience

Data Scientist, Machine Learning & AI Engineer at CERN (European Organization for Nuclear Research)

January 1, 2025 - July 27, 2025

Designed and deployed end-to-end machine learning pipelines for large-scale physics datasets, handling data preparation, cleaning, and feature engineering with Azure, Snowflake, dbt, and Apache Spark. Developed models using scikit-learn, TensorFlow, and LLMs for anomaly detection and predictive analysis. Orchestrated workflows with Airflow and managed scalable training, deployment, and automated retraining on Azure ML using Azure Compute clusters.

Data Scientist, Machine Learning & AI Engineer at National Center for Nuclear Research (NCBJ)

January 1, 2025 - July 27, 2025

Conducted big data analysis using PySpark and Snowflake, preparing large datasets for machine learning applications. Built and deployed models with TensorFlow and scikit-learn, and orchestrated automated workflows with Airflow for scalable data processing and model retraining. Managed cloud resources on Azure and AWS to support production-grade ML workflows and scalable data operations.

Data Scientist, AI & ML Engineer at CERN

January 1, 2020 - Present

Built scalable ML pipelines on Azure and Snowflake handling complex scientific data; conducted statistical modeling including Gaussian fitting and Monte Carlo simulations; designed anomaly detection systems with models achieving over 90% accuracy; deployed retrainable pipelines using Airflow and Azure ML with cross-cloud alternatives; developed an internal RAG-based LLM chatbot; engineered batch and streaming data pipelines with Kafka and MongoDB; integrated MLflow for experiment tracking and model versioning; applied DevOps practices including Docker and GitHub Actions for CI/CD and scalable deployment.

Data Scientist, AI & ML Engineer at NCBJ

January 1, 2023 - Present

Developed predictive models on large datasets using PySpark, TensorFlow, and scikit-learn; automated workflows for data ingestion, training, and deployment via Airflow; performed advanced curve fitting and statistical validation; managed scalable cloud infrastructure on Azure and AWS; implemented real-time data processing and analysis for telemetry and event-driven streams.

Data Scientist, AI & ML Engineer at CERN

January 1, 2020 - Present

Built scalable ML pipelines on Azure and Snowflake to handle complex scientific data, conducted statistical modeling including Gaussian fitting and Monte Carlo simulations, designed anomaly detection systems achieving over 90% accuracy, deployed retrainable pipelines with Airflow and Azure ML, created an internal RAG-based LLM chatbot using Hugging Face and FastAPI, engineered batch and streaming data pipelines integrating Kafka and MongoDB, integrated MLflow for experiment tracking and model versioning, and applied DevOps practices with Docker and GitHub Actions for CI/CD workflows.

Data Scientist, AI & ML Engineer at NCBJ

January 1, 2023 - Present

Developed predictive models on large datasets using PySpark, TensorFlow, and scikit-learn. Automated workflows for data ingestion, model training, and deployment using Airflow. Performed advanced curve fitting and statistical validation including error bars and confidence intervals. Managed scalable cloud infrastructure across Azure and AWS. Implemented real-time data processing for telemetry and event-driven streams.

Data Scientist, AI & ML Engineer at CERN

December 31, 2025 - October 16, 2025

Designed and deployed ML pipelines on Azure and Snowflake, processing 10TB+ of physics data daily for automated research workflows. Developed high-accuracy anomaly detection models (>90%) for event classification and rare data pattern recognition. Built and deployed a Retrieval-Augmented Generation (RAG) chatbot for scientific data access, reducing manual query time by 70%. Mentored MIT–CERN junior researchers in applied ML, DevOps, and AI model development best practices. Integrated MLflow for experiment tracking, model versioning, and automated retraining pipelines using Airflow.

Data Scientist, AI & ML Engineer at CERN

January 1, 2017 - January 1, 2025

Built scalable ML pipelines on Azure + Snowflake, handling complex scientific data. Conducted statistical modeling: Gaussian fitting, uncertainty propagation, Monte Carlo simulations. Designed anomaly detection systems and trained models with >90% accuracy for physics events. Deployed retrainable pipelines with Airflow and Azure ML (plus AWS & GCP alternatives). Created an internal RAG-based LLM chatbot using Hugging Face, FAISS, FastAPI. Engineered batch and streaming data pipelines integrating Kafka and MongoDB. Integrated MLflow for experiment tracking, model versioning, and reproducibility. Applied DevOps practices using Docker and GitHub Actions for CI/CD workflows and scalable deployment.

Education

M.Sc. at University of Tehran

January 1, 2016 - December 31, 2019

B.Sc. at Petroleum University of Technology

January 1, 2010 - December 31, 2015

Ph.D. at Massachusetts Institute of Technology (MIT)

January 1, 2023 - December 31, 2025

M.Sc. at University of Tehran

January 1, 2016 - December 31, 2019

B.Sc. at Petroleum University of Technology

January 1, 2010 - December 31, 2015

M.Sc. at University of Tehran

January 1, 2016 - December 31, 2019

B.Sc. at Petroleum University of Technology

January 1, 2010 - December 31, 2015

Ph.D. Research Fellowship (Data Science & Physics) at Massachusetts Institute of Technology (MIT), USA

January 1, 2023 - December 31, 2025

Pre-Doctoral Fellowship (Experimental Particle Physics) at International Centre for Theoretical Physics (ICTP), Italy

January 1, 2022 - December 31, 2023

M.Sc. in Elementary Particle Physics at University of Tehran, Iran

January 1, 2016 - December 31, 2019

B.Sc. in Chemical Engineering at Petroleum University of Technology, Iran

January 1, 2010 - December 31, 2015

PhD Research Fellowship (Data Science & Physics) at Massachusetts Institute of Technology (MIT)

January 1, 2023 - January 1, 2025

Pre-Doctoral Fellowship (Experimental Particle Physics) at International Centre for Theoretical Physics (ICTP)

January 1, 2022 - January 1, 2023

M.Sc. in Elementary Particle Physics at University of Tehran

January 1, 2016 - January 1, 2019

B.Sc. in Chemical Engineering at Petroleum University of Technology, Iran

January 1, 2010 - January 1, 2015

Ph.D. Research Fellowship (Data Science & Physics) at Massachusetts Institute of Technology (MIT)

January 1, 2023 - January 1, 2025

Pre-Doctoral Fellowship (Experimental Particle Physics) at International Centre for Theoretical Physics (ICTP)

January 1, 2022 - January 1, 2023

M.Sc. in Elementary Particle Physics at University of Tehran

January 1, 2016 - January 1, 2019

B.Sc. in Chemical Engineering at Petroleum University of Technology, Iran

January 1, 2010 - January 1, 2015