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ntkhoa95/README.md

Hi, I'm Niko.

I build AI systems that run in the real world — on edge devices, in factories, and at scale.

For the past 5+ years, I've been working at the intersection of computer vision, edge computing, and applied ML. Currently leading the Edge AI team at FPT AI Center, where we take models from research to production on resource-constrained hardware.

I hold an M.Sc. in Electrical Engineering, with a focus on anomaly detection and image processing.

Lately, I've been spending time on LLM applications, agentic systems, and figuring out how to make AI more useful — not just more powerful.

I believe in shipping, building in the open, and writing code that matters.

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  1. Convolutional-Attention-Neural-Network-for-Induction-Motors Convolutional-Attention-Neural-Network-for-Induction-Motors Public

    Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors

    Python 24 2

  2. RTNet_PyTorch RTNet_PyTorch Public

    Implementation of RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes (IEEE RAL) for RGB-D dataset using PyTorch

    Python 1

  3. Elevator-State-Classifier Elevator-State-Classifier Public

    Implementation of Elevators State Classifier (Open or Close) using PyTorch

    Jupyter Notebook

  4. CV22S_Ganzin_Challenges CV22S_Ganzin_Challenges Public

    Pupil Tracking (Ganzin Technology, Inc)

    Python

  5. M5-Forecasting-Walmart M5-Forecasting-Walmart Public

    Jupyter Notebook