Nurturing Progress: Embracing Growth, Empowering Strength. Each day, I am cultivating improvement and fortifying my journey. My choices pave the way for learning, evolution, and prosperity, bringing me inner harmony.
About Me
![](images/demo/backgrounds/keivan-1.jpg)
Hello! I'm Keivan, an adaptable professional on an exciting journey.
My academic pursuits led me to a Master's in mechanical engineering, where I explored the intriguing intersections of computer science and machine learning,
with a particular focus on applications in experimental and computational fluid dynamics.
Transitioning into the realm of data engineering, I now thrive as a Senior Data Engineer at Inmind Technologies Inc.,
where I'm dedicated to crafting impactful solutions in the digital landscape. My expertise extends to data engineering, machine learning, and optimization.
Beyond work, I find joy in the art of driving, exploring new destinations, harmonizing melodies, and experimenting with culinary creations.
Let's connect and share our innovative ideas! For a deeper dive into my experiences, please consult my attached resume.
Background
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Master of Science - Mechanical Engineering
Concordia University, Montreal, Canada
My research interests lie in the areas of engineering design and optimization with a focus on novel machine learning techniques.
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Bachelor of Science - Mechanical Engineering
Tehran Polytechnic, Tehran, Iran
Working on experimental design of heat transfer devices.
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Journal of Atomization and Sprays
Modal Analysis-Based Classification of Liquid Jets in Crossflow
This work is the result of my thesis project performed during my masters studies. Machine learning classifiers are trained on a training set of fluid flow images extracted using high speed imaging techniques. The work is in queue for publication at a well-known journal in the spray community.