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udaylunawat/README.md

Hi, I'm Uday Lunawat Waving hand animated gif

AI & Machine Learning Engineer | MLOps Engineer Specialist

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👨🏻‍💻 About Me

💡 Passionate about advancing ML solutions from ideation to deployment with robust MLOps practices.
💬 I’m always open for discussions on emerging tech, pro bono consulting, and innovative data solutions.
✉️ Reach me at [email protected] – I'll respond as soon as possible!
📄 Visit my Website for more details, and let’s connect!


🔥 Key Skills and Tools

Category Subcategory Tools
Programming & Frameworks Python
Machine Learning TensorFlow    PyTorch    Scikit Learn    XGBoost
Data Analysis Pandas    NumPy
Visualization & Frontend Data Visualization Tableau    Matplotlib    Plotly    Dash    Folium
Frontend Streamlit
MLOps & Model Deployment Model Management & Serving MLflow    Seldon Core
Annotation & Labeling Label Studio
Experiment Tracking Weights & Biases
Security & CI/CD Security Trivy
CI/CD GitHub Actions
Cloud Platforms AWS AWS EC2    S3    SageMaker AWS EC2    S3    SageMaker    Lambda    ECR    ECS    EKS
GCP Compute Engine    BigQuery    Vertex AI    Cloud Storage    Cloud Functions
Containerization & Orchestration Containerization Docker
Orchestration Kubernetes    Kubeflow
Data & Storage Databases MySQL    PostgreSQL    MongoDB
Dev Environment IDEs & Tools VS Code    Jupyter Notebook
Operating System & Platform Operating Systems macOS    Linux    Windows
Platform MacBook Air M1

🌟 Recent Experience with Open-Source MLOps Tools

I’ve harnessed open-source tools to deploy scalable, reliable, and secure ML solutions:

  • Senior MLOps Engineer

    • Tech Stack: Python, MLflow, Seldon Core, Label Studio, Trivy, GitHub Actions, GCP
    • Deployed and managed human-in-the-loop ML workflows with Label Studio for feedback and enhanced model accuracy.
    • Implemented secure CI/CD pipelines using Trivy for vulnerability scanning and integrated MLflow for seamless model tracking.
    • Scaled model serving with Seldon Core on Kubernetes, enabling real-time monitoring, logging, and rapid model versioning.
  • Machine Learning Engineer - MLOps

    • Tech Stack: Python, MLflow, AWS, TensorFlow, nbdev, pruning, quantization
    • Engineered real-time liveliness detection with AWS and optimized MLOps through modular script design, enhancing maintainability.
    • Leveraged MLflow for model management and TensorFlow for efficient model training, achieving ultra-low latency with AWS integration.

My Projects

🎁 Projects 🤖 Colab ⭐ Stars 📚 Forks 🛎 Issues 📬 Pull requests
What's this Rock - Telegram Run & Deploy Stars Forks Issues Pull Requests
Indian ALPR System - GCP Run & Deploy Stars Forks Issues Pull Requests
Covid-19 Classifier & Dashboard Run & Deploy Stars Forks Issues Pull Requests

My latest projects

  • Whats-this-Rock
    An Image Classification pipeline for identifying rocks deployed as a Telegram Bot
  • ALPR-India
    An end-end Deep Learning ALPR project on which you can play around with opencv morphological options and OCR


📊 GitHub Stats:

GitHub Stats GitHub Streak

🏆 GitHub Trophies

GitHub Trophies

✍️ Random Dev Quote

Dev Quote

How to reach me 📱

Known on the internet as udaylunawat

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😄 Know More About Me:

  • Visit to see my education, experience, projects, certifications, achievements and testimonials given by my clients.
  • 🔖 Discover more about me at my Website
  • 💼 Hire Me Resume

    Watch my contribution graph eaten by the snake🐍

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    Show some ❤️ by starring some of the repositories!

    👀visitor badge Visitors. Wow!
  • Pinned Loading

    1. 😎 About Me 😎 About Me
    2. Whats-this-rock Whats-this-rock Public

      Telegram Rock Classification Bot!

      Jupyter Notebook 25 4

    3. Automatic-License-Plate-Recognition Automatic-License-Plate-Recognition Public

      Source code of ALPR (Automatic License Plate Recognition System) 🔥

      Jupyter Notebook 45 12

    4. Covid-19-Radiology Covid-19-Radiology Public

      Covid-19 Radiology

      Jupyter Notebook 14 1