I'm Amdu Berga Moshiye, a robotics and AI researcher pursuing an MSc in Artificial Intelligence for Science and Technology at the Universities of Milan, Milano-Bicocca, and Pavia. My research focuses on foundation models for multimodal sequence prediction, using self-supervised transformers and diffusion models to advance robotics and human-environment interaction. I have extensive experience designing and optimizing controllers for nonlinear dynamical systems and hands-on expertise in deep learning, generative models, graph-based learning, and explainable AI. Proficient in Python, MATLAB/Simulink, C/C++, ROS/ROS2, PyTorch, and TensorFlow, I am motivated to bridge theory and real-world applications and welcome international collaboration in robotics and AI research.

Amdu Berga Moshiye

I'm Amdu Berga Moshiye, a robotics and AI researcher pursuing an MSc in Artificial Intelligence for Science and Technology at the Universities of Milan, Milano-Bicocca, and Pavia. My research focuses on foundation models for multimodal sequence prediction, using self-supervised transformers and diffusion models to advance robotics and human-environment interaction. I have extensive experience designing and optimizing controllers for nonlinear dynamical systems and hands-on expertise in deep learning, generative models, graph-based learning, and explainable AI. Proficient in Python, MATLAB/Simulink, C/C++, ROS/ROS2, PyTorch, and TensorFlow, I am motivated to bridge theory and real-world applications and welcome international collaboration in robotics and AI research.

Available to hire

I’m Amdu Berga Moshiye, a robotics and AI researcher pursuing an MSc in Artificial Intelligence for Science and Technology at the Universities of Milan, Milano-Bicocca, and Pavia. My research focuses on foundation models for multimodal sequence prediction, using self-supervised transformers and diffusion models to advance robotics and human-environment interaction.

I have extensive experience designing and optimizing controllers for nonlinear dynamical systems and hands-on expertise in deep learning, generative models, graph-based learning, and explainable AI. Proficient in Python, MATLAB/Simulink, C/C++, ROS/ROS2, PyTorch, and TensorFlow, I am motivated to bridge theory and real-world applications and welcome international collaboration in robotics and AI research.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Fluent
Amharic
Fluent
Italian
Advanced

Work Experience

Technical - IT.IS Officer at Commercial Bank of Ethiopia (CBE)
February 1, 2024 - February 1, 2024
Developed and implemented credit scoring models to optimize loan decision processes and risk assessment; conducted advanced data analysis.
Part -Time Lecturer – Electrical Engineering at Addis Ababa Science and Technology University
March 1, 2023 - March 1, 2023
Delivered lectures on control systems; designed labs and projects to integrate theory and practice.
Control and Instrumentation Engineer at Ethiopian Electric Power (EEP)
December 1, 2022 - December 1, 2022
Conducted technical assessments of substation and generation systems.
Junior Electrical Engineer at Ethiopian Electric Utility (EEU)
October 1, 2022 - October 1, 2022
Performed equipment data collection, mapping, and feasibility studies for transformers.

Education

MSc – Artificial Intelligence for Science and Technology at University of Milano - Bicocca; University of Milan; University of Pavia
January 11, 2030 - November 1, 2025
MSc – Electrical & Computer Engineering (Control & Instrumentation) at Addis Ababa Science and Technology University
January 1, 2020 - April 1, 2022
BSc – Electrical Engineering (Industrial Control Focus) at Addis Ababa Science and Technology University
September 1, 2015 - January 1, 2021

Qualifications

Certificate of Appreciation (Commercial Bank of Ethiopia)
January 11, 2030 - November 5, 2025
Supervised Machine Learning (DeepLearning.AI & Stanford)
January 11, 2030 - November 5, 2025
Neural Networks and Deep Learning (DeepLearning.AI)
January 11, 2030 - November 5, 2025
Calculus for ML and Data Science (DeepLearning.AI)
January 11, 2030 - November 5, 2025
Mathematics for ML: Linear Algebra (Imperial College London)
January 11, 2030 - November 5, 2025
Software Architecture (University of Alberta)
January 11, 2030 - November 5, 2025

Industry Experience

Education, Energy & Utilities, Manufacturing, Software & Internet, Professional Services, Financial Services