I am Steve Mohammadi, a passionate machine learning engineer and data scientist with over 8 years of experience in AI solutions, data analytics, and ML architecture. I specialize in natural language processing, large language models, and deep learning frameworks. I enjoy leading cross-functional teams and tackling complex problems with a collaborative and innovative approach. Currently pursuing my PhD in Computer Science at the University of Windsor, I continuously seek to deepen my understanding and expertise. I am committed to delivering impactful AI and ML solutions, mentoring junior developers, and leveraging cloud technologies to build scalable and efficient systems.

Steve Mohammadi

I am Steve Mohammadi, a passionate machine learning engineer and data scientist with over 8 years of experience in AI solutions, data analytics, and ML architecture. I specialize in natural language processing, large language models, and deep learning frameworks. I enjoy leading cross-functional teams and tackling complex problems with a collaborative and innovative approach. Currently pursuing my PhD in Computer Science at the University of Windsor, I continuously seek to deepen my understanding and expertise. I am committed to delivering impactful AI and ML solutions, mentoring junior developers, and leveraging cloud technologies to build scalable and efficient systems.

Available to hire

I am Steve Mohammadi, a passionate machine learning engineer and data scientist with over 8 years of experience in AI solutions, data analytics, and ML architecture. I specialize in natural language processing, large language models, and deep learning frameworks. I enjoy leading cross-functional teams and tackling complex problems with a collaborative and innovative approach.

Currently pursuing my PhD in Computer Science at the University of Windsor, I continuously seek to deepen my understanding and expertise. I am committed to delivering impactful AI and ML solutions, mentoring junior developers, and leveraging cloud technologies to build scalable and efficient systems.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Machine Learning and AI Researcher at University of Windsor
September 1, 2022 - Present
Conducted in-depth research focusing on applying graph techniques, including graph neural networks and graph convolutional networks, to image datasets, computer vision, and live video streaming. Transformed super-resolution microscopic biomedical images into graph structures to expedite image processing. Developed and utilized advanced customized simulation environments, LLMs, and deep reinforcement learning for patient understanding and automated answering systems. Researched interactive online deep reinforcement learning, graph neural networks, and large language models for recommender systems.
Machine Learning Engineer, Artificial Intelligence Specialist at TaraSPG Co
May 1, 2022 - August 4, 2025
Designed and built backend systems for analytics platforms, integrating diverse data sources and improving system performance by 50%. Implemented deep learning and machine learning models for aerospace projects including anomaly detection, trajectory prediction, fraud detection, and radar fusion, enhancing client services. Optimized ML inference systems with techniques like distillation and quantization, improving performance by up to 10% in finance-related CAD data applications. Led cross-functional teams on interdisciplinary projects fostering collaboration for model building and revenue growth. Mentored junior developers and interns, created curricula, and guided projects. Applied MLOps practices using data insights to streamline ML deployment and monitoring. Deployed models on AWS and GCP (including Vertex AI) enhancing scalability and reliability.
Data Scientist - Recommender Systems & Analytics at Anahita Parvaz international tour and travel company
June 1, 2019 - August 4, 2025
Designed and implemented personalized recommender systems analyzing customer behavior and purchase history, improving engagement by 25%. Developed ML pipelines for user profiling and trip preference modeling using clustering, collaborative filtering, and rule-based systems tailored to regional trends. Applied time-series prediction models (ARIMA, Prophet, LSTM) for revenue forecasting and pricing strategies contributing to a 30% increase in campaign success. Created feature engineering pipelines from CRM data, web logs, and seasonal datasets for lead scoring and marketing. Used classification and regression models to predict user intent and optimize campaign conversion. Visualized insights using Power BI and Matplotlib, collaborating with marketing and operations for strategic guidance. Worked with cross-functional teams to integrate ML models into CRM tools and online platforms.

Education

Doctorate (PhD.) Computer Science at University of Windsor
September 1, 2022 - August 4, 2025
Master Computer Science at University of Tehran, Iran
September 1, 2018 - September 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Transportation & Logistics, Financial Services, Travel & Hospitality, Education, Software & Internet, Manufacturing