Shayan (Sean) Taheri - American Permanent Resident

Software Engineer

Atlanta, Georgia, United States of America

Email, Google Scholar, X - Twitter, LinkedIn, GitHub, and ResearchGate.


Shayan (Sean) Taheri, a self-taught Software Engineer, has continually demonstrated his exceptional abilities and serious approach across multiple facets of Computer Science. His extensive knowledge spans Software Engineering, Financial Software, Financial Technology (FinTech), Business Administration Software, Artificial Intelligence, Quantum Computing, Electronic Design Automation, Computer Architecture, and Cybersecurity. Sean's primary objective is to enhance computing systems, aiming for improvements across various software metrics such as functionality, performance, maintainability, security, project management, user satisfaction, and operational efficiency.

Sean earned his Doctor of Philosophy in Electrical Engineering from the University of Central Florida (UCF), studying under Professor Jiann-Shiun (Peter) Yuan. He also holds a Master of Science in Computer Engineering from Utah State University (USU), where he was supervised by Professor Ryan M. Gerdes. Following his doctoral defense, Sean dedicated three years to researching Hardware and Software Security in academia at the University of Florida, guided by Professors Navid Asadi, Mark M. Tehranipoor, and Ramakrishnan Sundaram.

Currently, Sean is a Software Engineer at HonestRank LLC (i.e., Industrial Company Number: 2047312, based in Raleigh, NC), where he has been employed since January 2022. At HonestRank, Sean has made significant contributions through developing algorithms and creating data modeling pipelines for a pioneering social media software application. His efforts have been pivotal in revolutionizing business reviews and ratings, notably through the deployment of advanced recommendation algorithms utilizing collaborative filtering, natural language processing (NLP), and deep learning techniques. These innovations not only personalize business suggestions but also enhance the app’s capacity to handle large-scale datasets efficiently.

Moreover, Sean's commitment to excellence is evident in his rigorous testing and evaluation of algorithms and models to ensure reliability and effectiveness. His leadership in developing sentiment-based recommendations and personalized review summaries has markedly increased user engagement and satisfaction. As a mentor, Sean guides junior machine learning engineers and data analysts, sharing his expertise in machine learning practices, algorithm design, and data preprocessing.

Since 2009, Sean has engaged in research and teaching within the STEM fields throughout his academic career, affirming his reputation as a hard-working and highly skilled engineer. He possesses a deep understanding of high-level programming languages and Hardware Description Languages (HDLs), including C++, MATLAB, Python, Verilog HDL, and VHDL. Sean's proficiency with technical tools from Synopsys, Cadence, and Xilinx vendors has been vital in his published research works, course projects, and teaching.

Sean is a Lawful Permanent Resident of the United States, recognized for his advanced degrees and exceptional abilities. His career is distinguished by a commitment to continuous professional development, a robust skill set, and a steadfast dedication to improving industry standards and educational practices.


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Gmail, Google Scholar, X - Twitter, LinkedIn, ResearchGate, GitHub, Coursera, ORCID, Stack Overflow, Codewars, LeetCode, and Kaggle.


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