Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a results-driven Machine Learning Engineer with a Ph.D. in Electrical and Computer Engineering and over 9 years of experience developing and deploying AI solutions across power generation, healthcare, automotive, and agricultural industries. I excel at turning complex data into actionable insights and robust AI systems that perform in real-world environments. I specialize in predictive modeling, anomaly detection, signal processing, and computer vision using Python, MATLAB, TensorFlow, and PyTorch. I’m adept in both supervised and unsupervised learning, deep learning, data mining, and MLOps. I enjoy collaborating with cross-disciplinary teams to integrate advanced AI techniques into real-world systems, ensuring high performance and reliability.…I am a results-driven Machine Learning Engineer with a Ph.D. in Electrical and Computer Engineering and over 9 years of experience developing and deploying AI solutions across power generation, healthcare, automotive, and agricultural industries. I excel at turning complex data into actionable insights and robust AI systems that perform in real-world environments. I specialize in predictive modeling, anomaly detection, signal processing, and computer vision using Python, MATLAB, TensorFlow, and PyTorch. I’m adept in both supervised and unsupervised learning, deep learning, data mining, and MLOps. I enjoy collaborating with cross-disciplinary teams to integrate advanced AI techniques into real-world systems, ensuring high performance and reliability.

Milad Moradi

Data Scientist, AI Engineer, Full Stack Developer, +2





I am a results-driven Machine Learning Engineer with a Ph.D. in Electrical and Computer Engineering and over 9 years of experience developing and deploying AI solutions across power generation, healthcare, automotive, and agricultural industries. I excel at turning complex data into actionable insights and robust AI systems that perform in real-world environments. I specialize in predictive modeling, anomaly detection, signal processing, and computer vision using Python, MATLAB, TensorFlow, and PyTorch. I’m adept in both supervised and unsupervised learning, deep learning, data mining, and MLOps. I enjoy collaborating with cross-disciplinary teams to integrate advanced AI techniques into real-world systems, ensuring high performance and reliability.…I am a results-driven Machine Learning Engineer with a Ph.D. in Electrical and Computer Engineering and over 9 years of experience developing and deploying AI solutions across power generation, healthcare, automotive, and agricultural industries. I excel at turning complex data into actionable insights and robust AI systems that perform in real-world environments. I specialize in predictive modeling, anomaly detection, signal processing, and computer vision using Python, MATLAB, TensorFlow, and PyTorch. I’m adept in both supervised and unsupervised learning, deep learning, data mining, and MLOps. I enjoy collaborating with cross-disciplinary teams to integrate advanced AI techniques into real-world systems, ensuring high performance and reliability.

Available to hire

I am a results-driven Machine Learning Engineer with a Ph.D. in Electrical and Computer Engineering and over 9 years of experience developing and deploying AI solutions across power generation, healthcare, automotive, and agricultural industries. I excel at turning complex data into actionable insights and robust AI systems that perform in real-world environments.

I specialize in predictive modeling, anomaly detection, signal processing, and computer vision using Python, MATLAB, TensorFlow, and PyTorch. I’m adept in both supervised and unsupervised learning, deep learning, data mining, and MLOps. I enjoy collaborating with cross-disciplinary teams to integrate advanced AI techniques into real-world systems, ensuring high performance and reliability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Machine Vision & AI Engineer at BHf Solution Inc.

August 1, 2024 - Present

Designed, developed, and implemented a machine vision solution for weed and crop detection. Collaborated with a multidisciplinary team to integrate AI techniques into the solution. Ensured high accuracy and reliability of the solution in real-world applications.

AI Cyberattack Detection Specialist at University of Windsor

January 1, 2021 - Present

Designed and developed an AI-based health monitoring system for detecting anomalies, faults, and cyberattacks in autonomous vehicles. Implemented autoencoder-based anomaly detection to identify potential security threats. Implemented machine learning and deep learning techniques to enhance the detection system’s capabilities. Conducted simulations and testing on small-scale Connected Autonomous Vehicles (CAV) to validate system performance.

Machine Learning Engineer at Neka Power Plant

January 1, 2018 - September 25, 2025

Developed and implemented a machine learning-based early fault detection system for steam power plant subsystems. Focused on detecting and diagnosing transient conditions to prevent operational issues. Created a hybrid technique for fault detection and condition monitoring in thermal power plants, improving reliability. Collaborated with technical teams to integrate the monitoring system and analyze performance data.

Data Scientist & AI Researcher at University of Windsor

January 1, 2018 - Present

Developed a predictive model using wastewater surveillance data to forecast COVID-19 pandemics three days in advance. Designed a Computer-Aided Diagnosis (CAD) system for early detection of COVID-19 from chest X-ray images. Designed and implemented a CAD system for detecting epileptic seizures from EEG signals to aid in timely intervention. Built a CAD system for optimizing HIV treatment interruption strategies based on individual patient data.

Machine Vision & AI Engineer at BH F Robotics

August 1, 2024 - November 9, 2025

AI Cyberattack Detection Specialist at University of Windsor

January 1, 2021 - November 9, 2025

Designed and developed an AI-based health monitoring system for detecting anomalies, faults, and cyberattacks in autonomous vehicles. Implemented autoencoder-based anomaly detection to identify potential security threats. Conducted simulations and testing on small-scale Connected Autonomous Vehicles (CAV) to validate system performance.

Anomaly Detection Specialist at University of Windsor

January 1, 2021 - November 9, 2025

Designed and implemented a multi-stage feature extraction pipeline combining time–frequency analysis and deep learning for fault detection; integrated AI models into condition monitoring systems for industrial motors; conducted extensive testing on benchmark datasets and real-world signals to ensure scalability and robustness.

Machine Learning Engineer at Neka Power Plant

December 31, 2018 - December 31, 2018

Developed and implemented a machine learning-based early fault detection system for steam power plant subsystems; created a hybrid technique for fault detection and condition monitoring in thermal power plants; collaborated with technical teams to integrate the monitoring system and analyze performance data.

Data Scientist & AI Researcher at University of Windsor

January 1, 2018 - November 9, 2025

Developed predictive models using wastewater surveillance data to forecast COVID-19 pandemics three days in advance; designed a Computer-Aided Diagnosis (CAD) system for early detection of COVID-19 from chest X-ray images; built CAD systems for detecting epileptic seizures from EEG signals; developed personalized HIV interruption strategies based on patient data.