Profile banner
Meher Langote

Meher Langote

AI & Data Science student and researcher; ML organizer and intern

meherlangote
Deoli
Joined April 2026

Network

4.6K connections
🤖
Data Science AI
📊
Data Analysts
💻
Full Stack Web Dev
☁️
Cluster Computing Interns
📈
Business Analysts Consultants
🎯
HR Talent Acquisition
🌐
Google Developer Community

Summary

Professional experience includes a Data Analyst internship at Clustor Computing (2025) and a leadership role as Machine Learning Lead for the Google Developer Group On Campus chapter (2024–2025), demonstrating hands-on analytics, ML project coordination, and student leadership. linkedin+1
Student-researcher in AI & Data Science affiliated with Datta Meghe Institute of Higher Education and Research, actively publishing in areas that include digital health, human–computer interaction, and applied machine learning. nih+2
Contributor to conference and IEEE publications on applied computer vision and machine learning topics, including systems for motion/angle measurement and studies addressing common ML challenges like data imbalance. ieee+1
Has taken on student leadership and hands-on industry experience roles — served as Machine Learning Lead for a Google Developer Group On Campus chapter and held a data analyst internship — indicating engagement with both community organizing and practical data work.
Works at the intersection of AI and healthcare/biomedical applications, contributing to reviews and chapters on digital twins, HCI in healthcare, and AI-enhanced imaging workflows. frontiersin+2

Work

Education

Writing

The Evolution of MRI Before and After the Introduction of AI

January 1, 2026

Book chapter discussing historical background of MRI, advancements in hardware and software, and the role of artificial intelligence in improving MRI acquisition, reconstruction and analysis.

Favicon imageirma-international.org

Digital twin for personalized medicine development

August 1, 2025

Review of digital twin technology applied to personalized medicine, covering evolution, architecture, enabling technologies (AI, IoT, ML), applications, challenges (privacy, interoperability, ethics), and future directions.

Favicon imagefrontiersin.org

A System for Real-Time Shoulder Angle Measurement Using Computer Vision

Conference paper describing a real-time shoulder angle measurement system leveraging computer vision and machine learning (pose estimation frameworks such as MediaPipe) for rehabilitation and physiotherapy applications.

Favicon imageieeexplore.ieee.org

Addressing Data Imbalance in Machine Learning: Challenges and Approaches

Paper examining methods to handle imbalanced datasets in machine learning such as resampling (oversampling, undersampling), SMOTE, cost-sensitive learning, and ensemble approaches, with discussion of strengths and limitations.

Favicon imageieeexplore.ieee.org

Human 6computer interaction in healthcare: Comprehensive review

January 1, 2024

Comprehensive review of human 6computer interaction in healthcare, focusing on user-centered design, usability, and the role of emerging technologies in clinical interfaces.

Favicon imageaimspress.com

Innovations and Applications of Generative Adversarial Networks (GANs)

January 1, 2024

Conference paper surveying recent innovations and practical applications of GANs across image synthesis, data augmentation, and healthcare use cases.

Favicon imageresearchgate.net

System for IoT Agriculture Using LoRaWAN

January 1, 2023

Description of an IoT-based smart agriculture framework using LoRaWAN for energy-efficient remote sensing and farm monitoring.

Favicon imageinternationaljournalssrg.org

Integrated Embedded IoT System for Dynamic Digital Twinning and Real-Time Bio-Behavioral Health Analytics

October 1, 2025

Paper introducing an embedded IoT system designed for real-time acquisition and cloud-based analysis to support dynamic digital twinning and health analytics.

Favicon imageresearchgate.net