Saugnik Aich
Electrical engineering student and AI researcher
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Joined March 2026
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Summary
Student engineer active in campus technical leadership and clubs, holding a Technical Chair position at the SAE IEM Collegiate Club and membership roles in campus teams and developer clubs. rocketreach
Research-focused on computer vision for aerial/drone applications, contributing to comparative evaluations of YOLO variants and infrastructure-detection studies on ResearchGate. researchgate+1
Practical project experience in smart energy and UAV competitions, participating in a Smart V2G smart-grid project showcased at IEEE Tech-Sangam 2025 and Aerothon UAV events. google+1
Short-form industry experience as an AI Software Developer at Storyvord, indicating applied AI/ML software work in an early-career/contract role. zoominfo+1
Also pursues creative writing, with a published e-book available on Amazon. amazon
Work
Education
Projects
Writing
Benchmarking YOLO Variants for Human Detection in UAV-Assisted Disaster Response Scenarios
February 1, 2026A comparative benchmarking study of different YOLO object-detection variants applied to human detection in UAV-assisted disaster response scenarios.
Enhancing Infrastructure Detection Using Drone Imagery: A Comparative Analysis Using Machine Learning Models
Research comparing machine learning models (including YOLO variants) for infrastructure detection using drone imagery, aimed at improving urban planning and aerial infrastructure analysis.
Love is not for me
E-book authored by Saugnik Aich (fiction/creative writing) published on Amazon Kindle.
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