Romain Thalineau，罗马尼亚克卢日县克卢日-纳波卡开发商
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Romain Thalineau

Verified Expert  in Engineering

Statistical Analysis Developer

Location
Cluj-Napoca, Cluj County, Romania
Toptal Member Since
January 29, 2018

Romain是一位经验丰富的数据科学家和机器学习工程师，拥有博士学位.D. 精通量子物理，精通Python和PyData堆栈. 曾在三个不同的国家为各种规模的公司工作过, from startups to global organizations, Romain is a versatile and communicative engineer.

Data MiningStatistical AnalysisArtificial Intelligence (AI)Machine LearningComputer VisionDeep LearningBokehDeep Neural NetworksPythonNumPyMATLABSciPyPandasGitJupyter

Portfolio

Qwertee.io
Docker, Kubernetes, R，数据科学，机器学习，计算机视觉...
Convoyz
Django, TensorFlow, Keras, Seaborn, SciPy, Scikit-learn, Matplotlib, Pandas...
8vance
Docker, Celery, RabbitMQ, Redis, Cassandra, Elasticsearch, PostgreSQL, Django...

Experience

Python - 10 yearsData Science - 9 yearsStatistical Analysis - 7 yearsScikit-learn - 7 yearsMachine Learning - 5 yearsComputer Vision - 4 yearsTensorFlow - 3 yearsPyTorch - 3 years

Availability

Part-time

Preferred Environment

Jupyter, Git, PyCharm, Ubuntu

The most amazing...

...我发明了一个非常灵敏的电子探测器用自旋量子比特.

Work Experience

Software Engineer/Cofounder

2018 - PRESENT
Qwertee.io
  • 使用Python、Django和R语言为某研究中心开发数据分析平台.
  • 设计和开发高可用性内容流解决方案的体系结构.
  • 开发了一个用于检测生产线违约的模型. 涉及图像处理和图像识别/深度学习分割(CNN).
  • Developed a model for recognizing vineyard diseases. 涉及图像处理和图像识别与深度学习.
  • 参与过各种数据科学和机器学习项目.
Technologies: Docker, Kubernetes, R，数据科学，机器学习，计算机视觉, Elasticsearch, PostgreSQL, Django, Scikit-learn, Pandas, NumPy, Keras, PyTorch, TensorFlow, Python

Data Scientist

2017 - 2017
Convoyz
  • 支持基于AI的交通应用程序的开发.
  • 完成了地理位置数据的数据挖掘和可视化.
  • 为目的地预测模型的发展做出了贡献.
Technologies: Django, TensorFlow, Keras, Seaborn, SciPy, Scikit-learn, Matplotlib, Pandas, NumPy, Python

Software Engineer

2016 - 2017
8vance
  • 维护和改进求职者与职位匹配的应用程序.
  • Developed REST API with Django + Django REST Framework.
  • Designed and implemented data pipelines.
  • 用Docker实现了所有微服务的集成测试框架.
技术:Docker，芹菜，RabbitMQ, Redis, Cassandra, Elasticsearch, PostgreSQL, Django, Python

Data scientist - Model engineer

2014 - 2016
Infineon
  • Created electrical models of semiconductor devices.
  • Completed data analysis using the PyData stack.
  • 提供PCM(过程控制监测)数据的统计分析和统计建模.
  • 通过Python脚本自动化模型报告和QA过程.
  • 根据特性和客户规格创建Spice, Spectre标称模型.
技术:MATLAB, SciPy, Scikit-learn, Matplotlib, Pandas, NumPy, Python

Research associate

2009 - 2013
Institut Neel - CNRS
  • 研究量子计算背景下的单电子器件.
  • Automated the data collection process with Labview.
  • 使用Matlab和PyData栈等工具完成数据分析和建模.
  • Tutored interns.
  • 在国际会议和同行评议的期刊上交流结果.
技术:LabVIEW, MATLAB, SciPy, Scikit-learn, Matplotlib, Pandas, NumPy, Python

Implementation of Neural Style Transfer in PyTorch

http://github.com/romaintha/neural_style_transfer
来自Gatys等人的“艺术风格的神经算法”PyTorch实现.

Deep Learning With Point Clouds

http://www.qwertee.io/blog/deep-learning-with-point-clouds/
点云是一组点，可以通过3D扫描仪生成，比如自动驾驶汽车使用的3D扫描仪. Being unordered and irregular, 特征不能通过简单地对点进行卷积核来学习，就像对图像等规则域中表示的数据所做的那样. In this article, 我揭示了与从点云中学习特征相关的问题, 回顾先锋架构PointNet，并提出它的PyTorch实现.

Introduction to Backpropagation

http://github.com/romaintha/backpropagation/blob/master/Backpropagation.ipynb
在这本笔记本中，我试图解释反向传播算法，在神经网络中大量使用. I also proposed a bare numpy implementation of it.

在推特上实时监控法国总统选举

http://medium.freecodecamp.org/monitoring-the-french-presidential-election-on-twitter-with-python-6a2a9310e6f4
As a side project, 我在Twitter上实现了对法国总统选举的实时监控. This included:
-使用Twitter流媒体API流式传输相关推文
- parsing and analyzing them
- storing them in a graph DB (Neo4J)
- updating in real time analyses
- serving these analyses via a REST API
- visualizing the analyses via a AngularJS front end

The tweet collection process is available on Github:
http://github.com/romaintha/twitter

自旋量子位:从单电子自旋的传输和操纵到其作为高灵敏度探测器的使用

http://tel.archives-ouvertes.fr/tel-00875970/document
Ph.D. project:

在本文中，我们描述了一系列的实验工作, which have been realized in the context of spin qubits, 从用作信息载体到用作非常敏感的探测器.

我们展示了在由四个耦合量子点组成的系统中沿封闭路径的单电子传输的第一个实验实现. By considering spin-orbit interaction, 这个实验为相干拓扑自旋操作开辟了道路. 在量子计算和自旋量子比特的背景下，我们研究了双量子比特门. By considering two tunnel-coupled quantum dots, 我们通过控制局部塞曼分裂证明了自旋量子比特的自然双量子比特门从SWAP门进化到c相门. 这项工作证明了c相栅极的可行性. 最后，我们使用自旋量子位作为非常敏感的探测器. 单重态-三重态量子比特是一种可以调谐以对静电环境非常敏感的量子系统. 在这里，我们报告了使用这样的量子比特来检测在探测器旁边传输的单个电子.

Languages

Markdown, R, Python, SQL, HTML5, JavaScript, CSS, C, Rust, c++

Frameworks

Django REST Framework, Django, Flask, Bootstrap

Libraries/APIs

OpenCV, Tidyverse, Ggplot2, SciPy, TensorFlow, Keras, Scikit-learn, Matplotlib, NumPy, Pandas, PyTorch, PCL, Dask, Twitter API

Tools

Scikit-image, Dplyr, Seaborn, PyCharm, Git, Celery, Jupyter, MATLAB, NGINX, LabVIEW, uWSGI, Jenkins, RabbitMQ, CloudCompare, Apache Airflow, GIS

Paradigms

Data Science, Object-oriented Programming (OOP), Test-driven Development (TDD), Continuous Integration (CI), Continuous Deployment, Microservices, REST, Agile, Scrum, Functional Programming

Platforms

RStudio, Jupyter Notebook, Docker, Linux, Ubuntu, Amazon Web Services (AWS)， Azure, Kubernetes

Other

Mathematics, Computer Vision, Deep Learning, Physics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Predictive Analytics, Statistics, Artificial Intelligence (AI), Data Mining, Machine Learning, Bokeh, Point Clouds, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Reinforcement Learning, Deep Reinforcement Learning, Neural Networks, Deep Neural Networks, Prefect Cloud, Computer Vision Algorithms, Image Processing, Prefect, Distributed Systems, Numba, Cython, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT)

Storage

Elasticsearch, Redis, Cassandra, PostgreSQL, Neo4j, GeoServer, PostGIS, Memcached, MongoDB

2009 - 2012

Ph.D. in Physics

Grenoble Unviersity - Grenoble, France

2006 - 2009

Master of Science Degree in Physics

PHELMA - INPG - Grenoble, France

2003 - 2006

本科数学和物理强化课程

Preparatory classes Lycee Descartes - Tours (France)

OCTOBER 2018 - PRESENT

Deep Learning Specialization

Coursera