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Abhinav Aakash

Abhinav Aakash

Computer Science student and applied ML / data‑science researcher

Ken0965
Bhubaneswar, Odisha, India
47 connections
Joined December 2025
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Summary

Research & conference publication: Abhinav co‑authored 'ArsenicSkinNet', a conference paper / book chapter presented at MIWAI 2024 on using EfficientNet-based deep learning to classify arsenicosis skin lesions, indicating active involvement in applied ML research and academic collaboration beyond campus. springer+1
Practical data‑science work and dataset curation: He maintains a Kaggle account (abhinav099802) with datasets and notebooks (e.g., eye disease dataset, forest‑fire datasets, and ML notebooks), demonstrating hands‑on experience in dataset preparation, exploratory analysis, and model experiments. kaggle+1
Student engagement and internships: As a KIIT University B.Tech (CSE) student (2021–2025), Abhinav has combined campus activities (KIIT FEST organizer, AISoC membership) with external internships (remote intern at HES‑SO Valais‑Wallis) and a data‑analyst role at NoteSync, suggesting a focus on building both technical skills and practical industry experience while still in school. researchgate

Work

Education

Projects

Writing

ArsenicSkinNet: A Deep Learning Approach for Arsenicosis Skin Lesion Classification

January 1, 2024

Conference paper / book chapter presenting ArsenicSkinNet, an EfficientNet-based deep‑learning model for automated classification of arsenicosis skin lesions (co‑authored with researchers from KIIT and international collaborators); reported high classification accuracy on the study dataset and presented at MIWAI 2024.

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