Mehrdad Rahimzadeh Rufuie
Gdansk
Summary
Specialist in practical applications of Generative AI models, including RAG chatbots and text summarizers. Proven expertise in AI Agentic platforms with multi-agent systems such as AutoGen, Semantic Kernel, LangGraph, and Google ADK. Strong proficiency in cloud environments including Azure and GCP. Holds a PhD in Electronics & Computer Engineering with over 10 years of industry experience and 3 years of academic teaching at Carleton University, Ottawa, Canada.
Overview
13
13
years of professional experience
Work History
Senior Machine Learning Engineer
Motorola Solutions
Gdansk
04.2022 - Current
- Implemented custom agentic AI platforms with multi-agents using Autogen, Semantic Kernel, Langraph, and LangSmith. Langraph, and LangSmith.
- Developed and implemented Generative AI solutions for diverse business challenges, including RAG-based secure chatbots with internal databases, data summarization, advanced analytics, and image generation/editing leveraging Azure OpenAI and GCP.
- Applied the end-to-end machine learning lifecycle to enhance existing internal use cases such as cash forecasting and demand forecasting.
- Mentored junior team members, guiding them through data collection, preprocessing, and the deployment of ML and GenAI solutions in production environments.
- Automated workflows across data ingestion, model training, and deployment using Azure Data Factory and Azure ML Studio.
Research Scientist (Machine Learning)
Aleet
Gdansk
11.2021 - 03.2022
- Researching the state-of-the-art on ML algorithms for traffic prediction.
- Applying the selected methods on external and internal traffic data sets.
- Using Python frameworks (PyTorch, scikit-learn, etc.).
Machine Learning Researcher
Elmiko Biosignals
Gdansk
05.2020 - 10.2021
- Participation in EPIMARKER project.
- Applying Machine Learning techniques to EEG brain signal to detect artifacts.
- Applying mathematical techniques to remove artifacts from the EEG signal.
- Implementation in Python and C++.
Research Assistant Professor
Gdansk University of Technology
Gdansk
04.2019 - 01.2020
- Edison project (Horizon 2020) topped off with a publication.
- Applying numerical methods and optimizations techniques for simulating Uncertainty Quantification of microwave circuits in frequency domain.
- Implementation on MATLAB using various Toolboxes.
- Compiling Linux based C/C++ libraries on Windows in a new way to use DLL shared libraries using Microsoft Visual Studio.
R&D Engineer
FiberHome International Technologies
Tehran
04.2017 - 05.2019
- Applying changes on SDN core.
- Upgrading the core functionality of PTN devices by C and C++ coding.
Network IP Back Office
ZTE
Tehran
06.2016 - 04.2017
- 24/7 professional IP troubleshooting.
- Configuring ZTE PTNs for Telecom service provider.
Network Security Engineer
MTN Irancell
Tehran
12.2015 - 05.2016
- Developed PHP webpage and MySQL database for security logs.
- Network monitoring using Astellia Probe.
Research Assistant & PhD student
Carleton University
Ottawa
10.2012 - 11.2015
- Designed and implemented improvements to simulator that performs stochastic analysis on general electronic circuits, including Transmission Lines that are terminated with general nonlinear functions.
- Derived the core algorithms to be significantly faster than traditional methods.
- Implemented in C++ and MATLAB.
- Designed simulator to transfer data to MATLAB using Mex function.
Education
PhD - Computer Aided Design: Electronics and Computer Science
Carleton University
Ottawa, Canada01.2015
Master of Science - Digital Electronics
Sharif University of Technology
Tehran, Iran01.2010
Skills
- Azure AI-900 certified
- Machine learning
- Python programming
- Generative AI
- mathematical modeling
- Data analysis
- Google Cloud Platform
Publications
- Węsierski, D., Rahimzadeh Rufuie, M., Milczarek, O., Ziembla, W., Ogniewski, P., Kołodziejczak, A., Niedbalski, P. (2023). Rating by detection: an artifact detection protocol for rating EEG quality with average event duration Journal of Neural Engineering.
- Rahimzadeh Rufuie, M., Lamecki, A., Sypek, P., Mrozowski, M. (2020). Residue-Pole Methods for Variability Analysis of S-parameters of Microwave Devices with 3D FEM and Mesh Deformation. Radioengineering, 29(1), 11.
- Rahimzadeh Rufuie, M., Gad, E., Nakhla, M., Achar, R. (2015). Fast Variability Analysis of General Nonlinear Circuits Using Decoupled Polynomial Chaos. IEEE Transactions on Components, Packaging and Manufacturing Technology. doi:10.1109/TCPMT.2015.2490240
- Rahimzadeh Rufuie, M., Gad, E., Nakhla, M., Achar, R. (2014). Generalized Hermite Polynomial Chaos for Variability Analysis of Macromodels Embedded in Nonlinear Circuits. IEEE Transactions on Components, Packaging and Manufacturing Technology, 4(4), 673–684.
- Rahimzadeh Rufuie, M., Gad, E., Nakhla, M., Achar, R., Farhan, M. (2014). Fast Variability Analysis of General Nonlinear Circuits Using Decoupled Polynomial Chaos. In: Signal and Power Integrity IEEE Conference, Ghent, Belgium.
Accomplishments
Excellence in science and engeeniering Scholarship (Koningstein Scholarship)
- Associated with Carleton University, Jan 2014
Timeline
Senior Machine Learning Engineer
Motorola Solutions
04.2022 - Current
Research Scientist (Machine Learning)
Aleet
11.2021 - 03.2022
Machine Learning Researcher
Elmiko Biosignals
05.2020 - 10.2021
Research Assistant Professor
Gdansk University of Technology
04.2019 - 01.2020
R&D Engineer
FiberHome International Technologies
04.2017 - 05.2019
Network IP Back Office
ZTE
06.2016 - 04.2017
Network Security Engineer
MTN Irancell
12.2015 - 05.2016
Research Assistant & PhD student
Carleton University
10.2012 - 11.2015
PhD - Computer Aided Design: Electronics and Computer Science
Carleton University
Master of Science - Digital Electronics
Sharif University of Technology
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