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  • CSE Student
  • india

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deepak2233/README.md

๐Ÿ‘ฑ๐Ÿปโ€โ™‚๏ธDeepak ๐Ÿ’ป


Hi there ๐Ÿ‘‹,

I also bring strong expertise in computer vision, particularly in object detection, robustness evaluation, and handling data and model drift in real-world production environments. I regularly translate business requirements into technical roadmaps, mentor engineers and data scientists, and ensure that research ideas are converted into reliable, high-impact production systems.


๐Ÿš€ Professional Journey:.

  • SONY India Software Center (Machine Learning Engineer):
    At SONY, I developed an end-to-end pose detection pipeline in C++ from Python, utilizing the Pytorch framework for bitwise serialization and ONNX for inference. This project significantly advanced the company's computer vision capabilities.

  • Stealth Start-up (Data Scientist):
    I researched model drift and anomaly detection for vision data using generative techniques like GAN and VAE. My work included evaluating model performance using statistical methods, developing data visualization pipelines, and performing A/B testing to assess solution effectiveness.


๐Ÿ˜Ž About

  • ๐ŸŒ I'm open to a Research collaboration in the Machine Learning and Deep Learning domains.
  • ๐Ÿ“š I have published two research papers in NLP and computer vision under the mentorship of Prof. Baidya Nath Saha
  • ๐ŸŽ“ At INRIA, France, I worked on a Multimodal Emotion Detection project under the mentorship of Francoise Bremond
  • ๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป Iโ€™ve completed my Research Internship in Machine Learning and Deep Learning project under the guidance of Prof. Sim Jim Yen, NDHU, Taiwan.
  • ๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป Completed my Summer internship at Verzeo Pvt. Ltd. in Machine Learning Domain.
  • ๐ŸŽค Community guy who loves being involved in communities and helping students grow.
  • ๐ŸŒฑ I love to meet new people and Travel.
  • ๐Ÿ‘ฏ And Many More...

๐Ÿ’ช Skills


Hello world!ย 

  • ๐Ÿ’ฌ Ask me about anything and everything!
  • ๐Ÿ“ซ How to reach me: message me at Whatsapp, But I may be slow to respond.
  • โšก Fun fact: I like to play Cricket ๐Ÿ, Footballโšฝ and eating food!
  • ๐Ÿ˜„ Pronouns: he/his/him

๐Ÿ“ˆ GitHub Stats

GitHub Activity Graph

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  1. Waste-or-Garbage-Classification-Using-Deep-Learning Waste-or-Garbage-Classification-Using-Deep-Learning Public

    This model is created using pre-trained CNN architecture (VGG16 and RESNET50) via Transfer Learning that classifies the Waste or Garbage material (class labels =7) for recycling.

    Jupyter Notebook 63 20

  2. Traffic-Signs-Recognition-using-CNN-Keras Traffic-Signs-Recognition-using-CNN-Keras Public

    There are several different types of traffic signs like speed limits, no entry, traffic signals, turn left or right, children crossing, no passing of heavy vehicles, etc. Traffic signs classificatiโ€ฆ

    Jupyter Notebook 37 18

  3. retail_insights_muti_agent_dashboard retail_insights_muti_agent_dashboard Public

    Agentic ai based retail analytics dashboard

    Python 2

  4. GNN-Based-HIV-Inhibitor-Prediction GNN-Based-HIV-Inhibitor-Prediction Public

    HIV molecules inhibitor classification using GNN with attention

    Python 4 1

  5. kNN-SVM-with-VGG16-Features-for-COVID-19-Pneumonia-Detection kNN-SVM-with-VGG16-Features-for-COVID-19-Pneumonia-Detection Public

    A scalable solution using VGG16 for feature extraction from chest X-rays and a kNN-SVM hybrid model for classification.

    Python 1

  6. Semantic-Segmentation-with-U-Net-for-Architectural-Data Semantic-Segmentation-with-U-Net-for-Architectural-Data Public

    Semantic Segmentation using Unet

    Python 1