https://github.com/vladimirrotariu/vladimirrotariu

https://github.com/vladimirrotariu/vladimirrotariu

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/vladimirrotariu/vladimirrotariu
• Owner: vladimirrotariu
• Created: 2023-09-04T19:25:23.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-24T08:29:14.000Z (3 months ago)
• Last Synced: 2024-10-25T05:05:17.746Z (3 months ago)
• Size: 41 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Hola! 👋

## About Me

I’m **Vladimir** — a passionate **Mathematician** and **Physicist**, now working as an **AI & Backend Engineer** focused on **IoT** and **Digital Twins** for **Smart Cities**.

My LinkedIn is [Vladimir Rotariu](https://www.linkedin.com/in/vladimir-rotariu-87081622b/).

### What I Do

In my current role, I:

- Preprocess IoT data with:

  - **pandas**/**polars**

  - **numpy**

    

- Design and develop **AI models** for IoT data utilizing:

  - **PyTorch**

  - **scikit-learn**

  - **statsmodels**

  - **optuna**

    

 - Integrate these models into a **FastAPI** REST API

*Interested in the AI project that I currently work on? Check out [Proyecto GeDIA](https://servicio.grupocibernos.com/proyecto-gedia).*

## Publications 

* [Bohmian insights into mathematical scattering theory](https://scholar.google.nl/citations?view_op=view_citation&hl=nl&user=PZCJoksAAAAJ&sortby=pubdate&citation_for_view=PZCJoksAAAAJ:aqlVkmm33-oC) -

  *A novel experimentally-verifiable exploration of an interpretation of **quantum physics** that recovers the position of a particle, albeit in a **statistical** manner.*

## Focus Personal Projects

* A **FastAPI** microservice the [BLIP-large model](https://github.com/sponteen/high_quality_image_captioner) from **Hugging Face** that is in charge of captioning user-uploaded images.

* A [Python package](https://github.com/vladimirrotariu/parallel-monte-carlo-simulations) that leverages Apache Beam in order to efficiently orchestrate in-parallel Monte Carlo simulations.

## Tech Stack (click on names to see relevant projects)

* **Programming Languages**: [Python](https://github.com/vladimirrotariu/parallel-monte-carlo-simulations/blob/main/parallel_simulations/parallel_simulations.py), [Java](https://github.com/vladimirrotariu/spark-utility-classes/tree/main), C++, Rust, various dialects of SQL.

* **GCP Data Engineering Products Suite**: Cloud Dataflow, Google BigQuery, Cloud Composer, Cloud Dataproc...

* **Main Frameworks**: FastAPI, PyTorch, scikit-learn, statsmodels, [Apache Beam](https://github.com/vladimirrotariu/parallel-monte-carlo-simulations).

* **Databases**: PostgreSQL, Redis, [SurrealDB](https://github.com/vladimirrotariu/surrealml-vs-onnx-vs-pytorch/tree/main), CrateDB, InfluxDB, MongoDB.

* **Tools**: [Jupyter Notebooks](https://github.com/vladimirrotariu/parallel-monte-carlo-simulations/blob/main/demos/demo_coin_sequences.ipynb), Docker, Kubernetes, numpy, pandas, Eclipse Paho MQTT.

* **General knowledge**: in web development acquired through personal projects and competitive bootcamps (React.js, Node.js, TypeScript, HTML, CSS, Solidity...)