Dedicated and passionate educator with over two years of teaching experience and a strong academic background, currently pursuing a Ph.D. Skilled in curriculum development, research, and student mentorship.
Machine Learning & Deep Learning
Learn more about my background and expertise
Dedicated and passionate educator with over two years of teaching experience and a strong academic background, currently pursuing a Ph.D. Skilled in curriculum development, research, and student mentorship, with a commitment to fostering a dynamic and engaging learning environment.
My research interests include Machine Learning and Deep Learning applications in various domains. As an Assistant Professor, I'm committed to helping students achieve their academic goals while advancing my research work.
I believe in a teaching philosophy that combines theoretical knowledge with practical applications, creating an interactive and inclusive classroom environment where students can thrive.
Expertise and capabilities I've developed throughout my career
My academic journey and qualifications
Indus University, Ahmedabad
Specialization in Machine Learning and Deep Learning
L.D. College of Engineering, Ahmedabad
Graduated with 8.21 CPI
Shantilal Shah Government Engineering College
Graduated with 8.34 CGPA
My professional journey in academia
L.J University (LJIET), Ahmedabad
Teaching computer science courses, conducting research, and mentoring students in various technical projects.
L.D College Of Engineering, Ahmedabad
Assisted professors with course material preparation, lab sessions, and student evaluations.
Innovative projects I've worked on
Using a hybrid approach of Deep Learning to analyze and classify emotions conveyed in memes by combining visual and textual analysis.
2022-2023
Implemented machine learning models to classify Amazon Alexa reviews based on sentiment, improving product feedback analysis.
2021-2022
Developed a system using machine learning to detect whether individuals are wearing face masks in real-time video feeds.
2020-2021
Academic contributions and publications
This research paper explores a novel hybrid approach that combines computer vision techniques with natural language processing to accurately detect and classify emotions conveyed in internet memes. The proposed model demonstrates superior performance compared to traditional methods that analyze visual or textual content in isolation.
Selected for publication in Springer Journal.
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