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Peyman Ghasemi

@peymanghasemi

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PhD candidate and Machine Learning Engineer specializing in biomedical applications.

Canada

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What I'm looking for

I seek a dynamic role in a collaborative environment where I can apply my machine learning expertise to solve real-world problems and contribute to innovative healthcare solutions.

I am a dedicated Machine Learning Engineer and PhD candidate in Biomedical Engineering with a strong focus on applying advanced AI techniques to healthcare challenges. My journey has been marked by significant contributions to the development of machine learning models that enhance diagnostic accuracy and treatment optimization, particularly in coronary artery disease.

Throughout my career, I have successfully led AI/ML product development at CropMind Inc., achieving over 90% accuracy in computer vision models. My work at Aerial Technologies Inc. involved designing algorithms that improved the efficiency of sleep detection and human fall detection, showcasing my ability to innovate and deliver impactful solutions. I am passionate about leveraging my skills in Python, TensorFlow, and PyTorch to drive advancements in medical technology.

Experience

Work history, roles, and key accomplishments

Applied Data Scientist

Aerial Technologies Inc.

Apr 2022 - Apr 2024 (2 years)

Designed algorithms for detecting sleep patterns and human falls using WiFi signals and advanced ML structures. Enhanced algorithm efficiency significantly through innovative feature extraction methods.

Python TensorFlow Keras FFT Git AWS

Machine Learning Engineer

CropMind Inc.

Aug 2023 - Dec 2023 (4 months)

Led AI/ML product development to create accurate computer vision models for detecting and counting apple fruits. Developed models for segmenting apple canopy and flowers using advanced techniques.

Python PyTorch OpenCV Docker GCP

Data Scientist and Computer Vision Engineer

Pixofarm GmbH.

Mar 2019 - Mar 2021 (2 years)

Led AI/ML development for mobile/web integration, focusing on real-time fruit detection and segmentation. Improved predictive models for harvest size using machine learning techniques.

Python C++OpenCV TensorFlow Git AWS

Software Developer and R&D Team Member

ETC Universe Inc.

Sep 2017 - Oct 2018 (1 year 1 month)

Developed AI core for medical-grade software to analyze sperm images. Implemented ML and rule-based methods for detecting abnormalities and optimized image processing.

C++Python OpenCV

Education

Degrees, certifications, and relevant coursework

University of Calgary

PhD, Biomedical Engineering

2021 - 2024

Conducting research for a PhD in Biomedical Engineering with a focus on reinforcement learning techniques for optimizing treatment strategies for coronary artery disease.

Tehran University of Medical Sciences

MSc, Health Economics

2017 - 2020

Completed a Master's degree in Health Economics, focusing on the application of machine learning models and Google Trends data to predict pharmaceutical demand.

University of Tehran

BSc, Electrical Engineering (Biomedical Engineering)

2012 - 2017

Earned a Bachelor's degree in Electrical Engineering with a specialization in Biomedical Engineering, involving research on heart rate variability and its implications in patient mortality prediction.