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Mahadev-2006/README.md

MAHADEV M

B.Tech in AI & Data Science (Medical Engineering)

Specializing in Biomedical Signal Processing, Explainable AI, and Deep Learning

LinkedIn Email

"Passionate about bridging machine learning and clinical decision-making through interpretable, high-impact solutions."

🔬 Research & Experience

  • Signal Processing & ML Intern at BSSR Lab: Developed emotion recognition pipelines using ECG/PPG signals with 94% accuracy.
  • Explainable Deep Learning: Built multi-task neural networks using ESM-2 for protein mutation pathogenicity and ΔΔG prediction.
  • Neuromorphic Computing: Implemented event-driven SNNs for low-latency arrhythmia classification on wearable devices.
  • Agentic Medical AI: Developing Aarokkiya, an AI health system for disease classification and automated clinical summaries.

🛠 Tech Stack

Category Tools & Technologies
AI/ML & Explainability PyTorch, XGBoost, Captum (Integrated Gradients), UMAP, Optuna
NLP & Bio-LLMs Hugging Face (ESM-2), Ollama, LLaMA, BioGPT
Signal Processing ECG/PPG Analysis, snnTorch, Brian2, Sensors Integration
Hardware & Dev Python, ESP32, IoT Systems, Git
📍 Based in Coimbatore, Tamil Nadu | 🎓 Amrita Vishwa Vidyapeetham

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  1. Aarokkiya Aarokkiya Public

    Agentic AI Healthcare Assistant Project

  2. Dr_Bot Dr_Bot Public

    A Multimodal framework integrating a Swin Transformer with a Dual-LLM RAG pipeline for Diabetic Retinopathy

    Python

  3. Explainable-Deep-Learning-System-for-Protein-Mutation-Analysis Explainable-Deep-Learning-System-for-Protein-Mutation-Analysis Public

    An explainable AI system that uses protein language model embeddings to predict mutation pathogenicity, disease impact, and stability changes, and generates clinically interpretable reports.

  4. Face-Recognition-Attendance-System Face-Recognition-Attendance-System Public

    Python