Specializing in Machine Learning, Embedded Systems, and Intelligent Automation
"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)
| Project | Description | Tech |
|---|---|---|
| VitalCache | ESP32-based biomedical sensing with real-time cache memory simulation | C++, ESP32, MAX30102 |
| SmartFS | ML-driven embedded filesystem for Teensy 4.1 with intelligent block allocation | C++, Teensy 4.1, ML |
| Biomaterial Crystal Gen | Diffusion-based generative models for biomaterial structural patterns | Python, Diffusion Models |
| QM/MM Δ-Learning | SchNet & GNN models bridging quantum mechanics and molecular mechanics | PyTorch, SchNet, GNN |
| CollapseTracker | Empirical dataset documenting progressive model collapse across recursive generations | ML Research, Dataset |
| AutoPulse SheetSync | Full-stack automation dashboard with Google Sheets sync & live metrics | Python, Flask, Google API |
📍 Amrita Vishwa Vidyapeetham, Coimbatore
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