Hi, I'm Uday Lunawat Waving hand animated gif
π‘ Passionate about advancing ML solutions from ideation to deployment.
βοΈ Reach me at udaylunawat@gmail.com β I'll respond as soon as possible!
π Visit my Website for more details, and letβs connect!
| 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 |
Nov 2024 β 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
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
| π Projects | π€ Colab | β Stars | π Forks | π Issues | π¬ 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 |
- 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
- Covid-19 Classifier & Dashboard
An end-end Deep Learning based Covid-19 CT-scan Classification project with 97% accuracy and live Dashboard.
Known on the internet as udaylunawat
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