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Harigovind04/README.md

Harigovind A

AI Developer — Edge ML Architect. Python, Dart, SQL. I build deployable, edge-capable machine learning architectures and highly optimized computer vision systems.

I bridge the gap between raw data processing and mobile-ready endpoints, creating AI solutions that function efficiently in the real world to bypass heavy cloud constraints.

Projects

  • ESWAR — Real-time space weather prediction pipeline. Fused ISRO GPS telemetry with live NASA OMNIWeb APIs, and deployed a custom TensorFlow Lite model for on-device edge inference.

  • VisionErgo — Dynamic posture analysis engine. Developed a real-time computer vision tool utilizing Python, OpenCV, and MediaPipe to track spatial coordinates and analyze human ergonomics with sub-second latency.

  • EV Charging Predictor — Engineered a predictive machine learning pipeline using LightGBM and Streamlit to analyze and forecast electric vehicle charging demand and associated infrastructure costs.

Professional Trajectory

  • Data Science — Luminar Technolab (Internship).
  • Flutter Development — Geojit Technologies (Internship).
  • BCA — Sacred Heart College.

Keywords

Python • Dart • SQL • TensorFlow Lite • OpenCV • MediaPipe • YOLO • LightGBM • Edge ML • Computer Vision • Flask • Streamlit • Firebase • Power BI • Flutter

Contact

govindahari04@gmail.com — Happy to talk edge inference, computer vision, or full-stack ML architectures.

LinkedIn

Pinned Loading

  1. EV-Charging-Price-and-Energy-Prediction-using-Machine-Learning EV-Charging-Price-and-Energy-Prediction-using-Machine-Learning Public

    Jupyter Notebook

  2. VisionErgo VisionErgo Public

    Python

  3. Equatorial-Space-Weather-Application-for-Ionospheric-Research Equatorial-Space-Weather-Application-for-Ionospheric-Research Public

    Fault-tolerant Edge ML pipeline for space weather (TEC) prediction. Fuses raw ISRO telemetry with NASA APIs for sub-second, on-device inference via quantized TensorFlow Lite.

    Dart