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Malay Doshi

Malay Doshi

AIML intern and final-year BTech CSE student

malaydoshi
Pune, Maharashtra, India
Joined February 2026
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Summary

Early-career AI/ML researcher and student author: co-authored a conference chapter on transformer and hybrid deep-learning approaches for password-strength assessment, demonstrating involvement in applied machine learning research during undergraduate studies. springer+1
Final-year Computer Science undergraduate at SIT Pune engaged in department activities and research collaborations with faculty and peers. edu+1
Practical industry experience through internships: has held a Technical Support Intern role and is listed as an AIML intern, indicating early hands-on exposure to technical and AI/ML work environments. rocketreach
Collaborative contributor: works with classmates and faculty on research outputs (paper co-authors include Gauri Deoghare, Ranjeet Bidwe, and Sashikala Mishra), reflecting teamwork in academic research. springer+1

Work

Education

Writing

Hybrid Deep Learning Models for Enhanced Password Security Assessment

January 1, 2026

Conference paper comparing transformer-based and hybrid deep learning models for password strength prediction and assessment; evaluates multiple transformer models and hybrid architectures to improve password classification accuracy and robustness.

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