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aiexplorations/README.md

Hi there πŸ‘‹

I'm Rajesh, a data science professional with experience in building solutions for clients and in building data and ML centric products.

  • πŸ”­ Building data science and machine learning applications

  • πŸ€– Building apps with language models and tools like vector search, databases

  • βš™οΈ System design for ML applications covering requirements such as requirements, sizing, performance, etc.

  • ☁️ Familiar with building on Azure, AWS

  • πŸ“– Learning something everyday about deep learning models, language models, transformers, deep learning

  • πŸš€ Deploying and scaling apps with Devops - Docker, Kubernetes - although I've largely worked with managed K8s

  • πŸ‘― Looking to collaborate on data science and statistical modeling projects and repos

  • πŸ€” Usually looking for help with -

    • Learning good software engineering practices
    • Code reviews
    • Great architectural ideas
    • Security and data privacy
    • Terraform and infrastructure-as-code
  • πŸ’¬ Ask me about:

    • Statistical inference and machine learning
    • Deep learning - especially convolutional networks, LSTMs and similar models
    • Sequence classification with transformers
    • Natural language processing and various techniques in this ambit
    • Model-as-a-Service, MLOps and Model deployment
    • Time series analysis, such as ARIMA and such models
    • Deep Learning for computer vision
    • Graph analytics and how to work with graph shaped data
    • Tensorflow and Keras
    • Sensor data analysis
    • Scalable data processing pipelines with Apache Spark
    • Scalable ML and DL with Tensorflow, Keras
  • Industry areas I'm good at:

    • Software product and cloud
    • Manufacturing and automotive technmology
    • Energy and renewable technology
  • πŸ“« Reach me at :

Pinned Loading

  1. deeplearning deeplearning Public

    Various experiments using Keras, Tensorflow and other deep learning libraries

    Jupyter Notebook 1

  2. sequence_classification sequence_classification Public

    A few LSTM sequence classification models (with ideas for some more)

    Python

  3. variational_autoencoders variational_autoencoders Public

    Replicating the Keras official VAE tutorial for MNIST digits

    Jupyter Notebook

  4. LearningResources LearningResources Public

    A page with learning resources for AI and Machine Learning

    5

  5. rexplorations rexplorations Public

    Code snippets and data sets from the blog posts on my blog at http:https://aiexplorations.in (earlier at rexplorations.wordpress.com )

    R

  6. nonlinear-dynamics nonlinear-dynamics Public

    Exploring nonlinear dynamics, chaos, fractals and similar topics

    Jupyter Notebook 6