Specializing in Machine Learning, Embedded Systems, and Intelligent Automation
- IEEE DataPort Publication: Dataset, Graphs, and Feature Descriptors for: Comparative assessment of graph-convolutional neural network architectures for Δ-learning of QM/MM energy corrections on the QM9 dataset. (Highly utilized resource with over 342,000+ downloads)
"Passionate about transforming data into intelligent and impactful solutions. Interests lie in machine learning, data analytics, and intelligent automation."
Enjoy exploring the intersection of AI, software development, and real-world innovation — from building predictive models and visualizations to developing data-driven applications.
Currently focused on scalable and ethical AI systems.
- EEG Dataset Research Intern at Amrita Vishwa Vidyapeetham — Working on EEG signal processing and ML approaches for brain-computer interface applications (Apr 2026 – Present)
- Core Member — R&D Department, INIT Club — Organized GitHub workshops (Anokha PR Game), conducted git training sessions, and contributed to open-source learning initiatives (2025 – Present)
📍 Amrita Vishwa Vidyapeetham, Coimbatore



