Pavan Bendre R

AIML undergraduate engineer focused on building real-world AI systems that move beyond theory into deployment. Co-author of an IEEE Best Paper Award–winning research on non-invasive blood glucose estimation, recognized at an international conference, reflecting research rigor and applied ML capability. Currently working as a Data Engineer at Saturam, contributing to structured data pipelines, backend-driven automation, and AI-integrated systems, and have delivered a commercial police bandobast project that applied engineering and system-level design to real operational use cases. Also an IoT textbook author, able to translate complex technical concepts into structured, practical knowledge. Actively building toward a long-term career in applied AI, ML engineering, and intelligent system architecture and open to collaborations, research discussions, and impactful product opportunities. vercel+2

Active undergraduate AIML student with hands-on research experience: Pavan is a Bachelor of Engineering (AIML) student at PESITM who co-authored a student research paper on non-invasive blood glucose estimation that received Best Paper recognition at an IEEE international conference. edu+1

Engaged campus leader and mentor: He holds student leadership roles (Vice Chairperson of Geeks for Geeks @ PESITM), serves in student organizations (GDSC, IEEE), and has contributed as a mentor and student expert for departmental programs and hackathons. edu+1

Practical industry experience through internships: Pavan has undertaken internships (InternPe in May–June 2024) and an AI Engineer internship at OPQ TECH PRIVATE LIMITED (2024–present), indicating early professional engagement in AI/ML roles. contactout

Public developer profile and project presence: Pavan maintains an online developer presence (GitHub) and other user profiles where he presents his interests in ML, computer vision, and LLMs. github+1