Open to opportunities

Navid Tavakoulnia

@navidtavakoulnia

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PhD Mechanical Engineer specializing in AI and data science solutions.

United States

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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to apply my technical skills in AI and engineering.

I am a PhD candidate in Mechanical Engineering at the University of Alabama, maintaining a 4.0 GPA while specializing in advanced computational modeling and machine learning. My academic journey has been complemented by dual certifications in Data Science and ML/AI from UC Irvine and UC San Diego, equipping me with the skills to tackle complex challenges in fluid dynamics and biomedical engineering.

Throughout my research and professional experiences, I have successfully integrated machine learning techniques into engineering applications, such as optimizing simulations and predicting behaviors in complex systems. My work has been published in reputable journals, showcasing my commitment to advancing knowledge in my field. I am passionate about leveraging my technical expertise to drive innovative solutions in AI, data science, and engineering.

Experience

Work history, roles, and key accomplishments

Current

Graduate Student Researcher

Current

University of Alabama

Aug 2022 - Present (3 years 5 months)

Researched on effective transport and dynamics of fibers in complex structured subsurface porous environments. Used Machine Learning to predict microfiber behavior, aligning with simulation results.

Machine Learning Matlab Python HPC Fluid Dynamics Data Analysis Research Scientific Writing Simulation Data Visualization

Research and Development Engineer

VentriMend Inc

Oct 2021 - Dec 2022 (1 year 2 months)

Designed and built structural heart device prototypes, leading R&D in CAD modeling. Integrated ML/AI for defect detection, enhancing quality control.

ML AI Quality Control Product Testing Compliance Analysis Biomedical Engineering Prototyping research and development

Graduate Student Researcher

California State University Fullerton

Aug 2019 - May 2021 (1 year 9 months)

Optimized simulation-based stent designs for congenital heart disease, allowing for better blood flow through the heart. Utilized SimVascular, ANSYS, and SolidWorks for precise modeling in an AWS cloud environment.

SimVascular Solidworks AWS Stent Design Biomedical Engineering Fluid Dynamics Simulation Research Data Modeling

Undergraduate Student Researcher

University of California, Riverside

Sep 2016 - Jun 2018 (1 year 9 months)

Designed a drone delivery system with SolidWorks, improving package efficiency. Collaborated on Arduino integration, enhancing accuracy for delivery.

Solidworks Arduino Drone Design System Integration Prototyping Robotics Project Management Collaboration Efficiency Improvement

Education

Degrees, certifications, and relevant coursework

University of Alabama

PhD in Mechanical Engineering, Mechanical Engineering

Grade: 4.0

Activities and societies: Graduate Student Researcher

Currently pursuing a PhD in Mechanical Engineering with a perfect 4.0 GPA. Research focuses on the effective transport and dynamics of fibers in complex structured subsurface porous environments, utilizing machine learning to predict microfiber behavior.

California State University, Fullerton

Masters in Mechanical Engineering, Mechanical Engineering

Grade: 4.0

Activities and societies: Graduate Student Researcher

Completed a Masters in Mechanical Engineering with a 4.0 GPA. Optimized simulation-based stent designs for congenital heart disease, allowing for better blood flow through the heart.

University of California, Riverside

Bachelors in Mechanical Engineering, Mechanical Engineering

Grade: 3.0

Activities and societies: Undergraduate Student Researcher

Earned a Bachelors in Mechanical Engineering with a 3.0 GPA. Designed a drone delivery system with SolidWorks, improving package efficiency and collaborated on Arduino integration.