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abhishekspawar0803-svg/README.md

Hi, I'm Abhishek 👋

Electrical Engineering undergrad from Maharashtra, India, applying machine learning to power systems, utilities, and energy asset monitoring, with a future plan of going towards embedded machine learning for real world systems.

  • ⚡ Working on ML for power grid anomaly detection, power quality faults, and energy asset monitoring
  • 📡 Interested in embedded ML, real-time monitoring, and intelligent diagnostics for electrical systems
  • 🧠 Comfortable with PyTorch, TensorFlow/Keras, classical ML, and numerical modeling

🔭 Featured projects

  • battery_life_cycle_nasa
    LSTM-based SOH/RUL prediction on NASA Li-ion cycle data in PyTorch.

  • power_grid
    Deep learning-based grid event/anomaly detection using sequence models and reconstruction error.

  • pinn
    Physics-informed neural network vs MLP for parallel RLC circuit dynamics.

  • yolo_insulator
    Insulator defect detection with YOLOv8/11/26 and a Streamlit inference interface.

  • power_quality_fault
    PyTorch-based multiclass power quality fault detection using engineered electrical features and neural network classification.

🛠 Tech stack

  • Languages: Python, C/C++ (embedded) basics, MATLAB basics
  • ML / DL: PyTorch, TensorFlow/Keras, scikit-learn, NumPy, pandas
  • Domains: Power systems, power quality, batteries, condition monitoring, numerical modeling
  • Tools: Jupyter, Streamlit, Git/GitHub

📫 Contact

Pinned Loading

  1. battery_life_cycle_nasa battery_life_cycle_nasa Public

    LSTM-based prediction of lithium-ion battery State of Health (SOH) and Remaining Useful Life (RUL) using cycle-level degradation data in PyTorch.

    Jupyter Notebook

  2. pinn pinn Public

    Comparative study of a PINN vs MLP for parallel RLC circuit dynamics in PyTorch

    Jupyter Notebook

  3. power_grid power_grid Public

    Deep learning-based power grid anomaly detection using sequence modeling, reconstruction error analysis, and classification for grid event monitoring.

    Jupyter Notebook

  4. power_quality_fault power_quality_fault Public

    PyTorch-based multiclass power quality fault detection using engineered electrical features and neural network classification.

    Jupyter Notebook

  5. yolo_insulator yolo_insulator Public

    Comparative insulator defect detection using YOLOv8n, YOLOv11n, and YOLOv26n with image and video inference through a Streamlit app.

    Jupyter Notebook