Karun Chakki
Product-focused Bioelectronics Engineer and Embedded Systems & IoT developer
Bengaluru, India
Joined November 2025
Network
590 connectionsKPAGHK
VRABMA
NKRUSA
MSRSAA
SBSGCP
BKDJDK
MMAPDH
Summary
Research-oriented bioelectronics undergraduate with multiple co-authored publications in machine learning applications for health and environment. Karun has co-authored conference and journal papers on air-quality prediction, cardiovascular-disease ML surveys, and computational drug-discovery work (LTA4H inhibitors), indicating strengths in applying ML and computational methods to biomedical and environmental problems. google+2
Hands-on product and embedded/IoT experience through internships and project development: LinkedIn lists internships at TinkEdge (Project Developer Intern) and GAOTek (Product Uploading Intern), and his work descriptions and projects suggest practical hardware/software prototyping and product-focused tasks. ieee
Cross-disciplinary skills bridging bioelectronics, AI/ML, and bioinformatics — evidenced by academic work (ECG/cardiovascular ML, air-quality ML, drug-discovery docking) and by presentations on health-detection systems (e.g., pre-diabetes breath-analyzer concept). academia+1
Public-facing communicator who shares research and local civic interests on social platforms (LinkedIn, Twitter, Prezi), suggesting engagement with both academic audiences and local community issues. twitter+1
Work
Education
Projects
Writing
Computational identification of novel Leukotriene A4 Hydrolase (LTA4H) inhibitors as therapeutic candidates for colorectal cancer
March 1, 2025Journal article (Journal of Integrated Science and Technology) reporting computational drug-discovery / molecular-docking work targeting LTA4H; Karun listed as a co-author affiliated with REVA University.
A survey on Machine Learning Methods used for Classification of Cardiovascular disease using ECG and Image Processing Techniques
January 1, 2024IEEE conference paper reviewing ML techniques for cardiovascular disease detection using ECG and image-processing approaches; lists Karun Chakki as a co-author (REVA University).
Air Quality Prediction Based on Decision Tree Using Machine Learning
January 1, 2023Conference paper (ICSSES 2023) applying decision-tree/data-mining approaches to predict Bengaluru air quality; co-authored with REVA researchers and students.