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Hi, I'm Uday Lunawat Waving hand animated gif

AI & Machine Learning Engineer

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👨🏻‍💻 About Me

💡 Passionate about advancing ML solutions from ideation to deployment.
✉️ 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 Languages Python    Groovy
Web Frameworks FastAPI
Machine Learning Traditional ML TensorFlow    Scikit Learn    XGBoost
LLM Frameworks LangChain    LangGraph    Google ADK
Data Engineering Big Data PySpark    Databricks
Data Analysis Pandas    NumPy
Visualization & Frontend Data Visualization Tableau    Matplotlib    Plotly    Dash    Folium
App Frameworks Streamlit    Gradio
MLOps & Deployment Model Serving MLflow    Seldon Core    Cloud Run
Experiment Tracking Weights & Biases    Langfuse
CI/CD GitHub Actions    Jenkins
Cloud Platforms AWS EC2    S3    SageMaker    Lambda
GCP Compute Engine    Cloud Storage    Cloud Functions    Vertex AI
Container & Orchestration Containerization Docker    Kubernetes    Kubeflow
Data & Storage Databases MySQL    PostgreSQL    MongoDB    Redis
Database Tools SQLModel    Alembic
Dev Environment IDEs & Tools VS Code    Jupyter Notebook
OS & Hardware Platforms macOS    Linux    Windows    MacBook Air M1    MacBook Air M4

🔥 Current Role: Senior Machine Learning Engineer (Agentic Gen AI) @ Fractal AI

Nov 2024 – Present | Pune, India
Tech Stack: Python, GCP, LangGraph, FastAPI, Jenkins, SQLModel, Alembic

  • Improved and maintained a Multi-Agent Framework using LangGraph, facilitating model-agnostic and multi-model interactions
  • Implemented robust database migration strategies utilizing Alembic, ensuring seamless schema evolution and version control
  • Integrated Langfuse and New Relic for efficient tracking and management of artifacts
  • Deployed scalable applications on Google Cloud Platform (GCP) leveraging Vertex AI and Cloud Run
  • Established standardized CI/CD pipeline used by 40+ Agentic projects using Jenkins, saving developer time and eliminating redundant pipelines

🌟 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, Label Studio, GitHub Actions, GCP
    • Deployed and managed ML workflows with Label Studio for feedback and enhanced model accuracy
  • 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
    • Leveraged MLflow for model management and TensorFlow for efficient training, achieving ultra-low latency

My Projects

🎁 Projects 🤖 Colab ⭐ Stars 📚 Forks 🛎 Issues 📬 Pull requests
Agentic Data Analysis with Google ADK
PDF2Podcast Run & Deploy
One Click Resume Optimiser Run
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

  • Resume Optimiser
    Rewrite your resume into a single page optimised resume based on entered Job Description
  • 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


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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

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