Machine Learning Engineer

Omid Rajabi Rostami

Norfolk, VA **********.****@*****.*** 757-***-**** LinkedIn GitHub

SUMMARY

Machine Learning Engineer & Software Developer with 7+ years of experience in AI model development, deep learning, and full- stack software engineering. Proven expertise in designing and deploying scalable AI models for computer vision, geospatial analysis, and document processing. Strong background in Python, Java, and machine learning frameworks, with hands-on experience in cloud deployment and API development. Passionate about building AI-driven solutions that bridge research and real-world applications. EXPERIENCE

Research Assistant ODU Research Foundation, Norfolk, VA August 2021 – Present

• Developed and deployed deep learning models for adversarial attacks, image segmentation, and cybersecurity applications.

• Engineered a document enhancement system that reduced image noise by 8%, improving OCR accuracy for industry applications.

• Optimized AI models for real-world deployment, enhancing model robustness.

• Built Python-based automation tools for data preprocessing, feature extraction, and model evaluation. Machine Learning Engineer (Intern) City of Norfolk, Norfolk, VA June 2023 – September 2023

• Designed flood prediction models using geospatial data (ArcGIS) and deep learning, achieving 90% accuracy.

• Developed data visualization tools with Python, Pandas, and Matplotlib to support urban planning.

• Integrated machine learning pipelines into existing city infrastructure. Full-Stack Software Engineer Negin Tejarat, Esfahan, Iran January 2014 – January 2017

• Developed RESTful APIs and full-stack applications in Python, JavaScript, and SQL.

• Implemented front-end and back-end solutions.

PROJECTS

• Secure AI for Remote Sensing (ODU Research, 2023 – Present): Developed adversarial attack models for vulnerabilities in remote sensing AI.

• AI-Driven Flood Prediction System (City of Norfolk, 2023): Engineered machine learning models for flood prediction (90% accuracy) with geospatial data.

• Document Enhancement AI (ODU Research, 2021 – 2023): Designed deep learning model for document noise reduction, improving OCR accuracy.

EDUCATION

• Ph.D. in Computer Engineering Old Dominion University, Norfolk, VA August 2021 – Present

• M.Sc. in Artificial Intelligence University of Hormozgan, Bandar Abbas, Iran August 2017 – August 2019

• B.Sc. in Software Engineering Payam Noor University, Esfahan, Iran August 2009 – August 2014 TECHNICAL SKILLS

• Machine Learning & AI: Deep Learning (CNN, Transformers), Computer Vision & Generative Models, PyTorch, TensorFlow

• Programming & Software Development: Python, Java, C#, SQL, API Development, Cloud Deployment

• Data Science & Geospatial Analysis: ArcGIS Pro, Data Visualization (Pandas, Matplotlib), Feature Engineering & Data Pipelines

• Web & Full-Stack Development: RESTful APIs, JavaScript, HTML, CSS

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