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Skills

  • Keras
  • OpenCV
  • Python
  • TensorFlow
  • Artificial Neural Network
  • C Programming
  • C++
  • Cloud Computing
  • Computer Vision
  • MATLAB
  • Python Numpy
  • PyTorch
  • Training

Services

  • face landmark detection

    $20/hr Starting at $29 Ongoing

    Dedicated Resource

    **Project Summary: Facial Landmark Detection Using Convolutional Neural Networks** This project focuses on developing a robust facial landmark detection system using Convolutional Neural Networks (CNNs)...

    Artificial Neural NetworkC ProgrammingC++Cloud ComputingComputer Vision

About

Senior Computer Vision | LLMs | GEN AI | NLP Research Engineer

7+ years of experience in data science and deep learning with strong computer vision and algorithmic problem-solving ability. ‎Wide range of experience in data science/ machine learning/ deep learning space from simple machine learning algorithms to complex deep learning neural networks.

Working Technologies:
- Python, C++, MATLAB.
- Practical Statistics for Data Scientists: Exploratory data analysis, Data distribution, Statistical experiment, Significance testing.
- Computer Vision dataset collection and preparation, Training Pipeline, CNN Model Deployment.
- Data preprocessing: Data quality assessment, Feature aggregation, Feature sampling, Dimensionality reduction, Feature encoding;
- Keras & TensorFlow, PyTorch, JAX, Julia;
- NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn, OpenCV, WandB;
- Real-time object detection and classification: SSD, EfficientDet, YOLOv8, etc.
- Real-time license plate recognition: LPRNet;
- Object segmentation: Unet, MaskRCNN;

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