Federico Rabinovich，阿根廷布宜诺斯艾利斯的开发者
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Federico Rabinovich

Verified Expert  in Engineering

Data Scientist and Developer

Location
Buenos Aires, Argentina
Toptal Member Since
September 19, 2022

Federico是一名IT专业人士，在过去的15年里为数百名客户提供服务, 总是加倍努力，提供一流的产品. 五年前，他开始对深度学习充满热情，并参与了各种与人工智能相关的项目, 从使用LSTM的时间序列预测到使用ConvNets和transformer的计算机视觉和NLP任务. Federico已经建立了模型来自动验证文档, 节省了数千小时的手工工作，防止了数百万人的欺诈行为.

Web DevelopmentAlgorithmsData ScientistMachine LearningDeep LearningArtificial Intelligence (AI)AI DesignAI ProgrammingDeep Neural NetworksNLUComputer VisionNatural Language Processing (NLP)PythonNumPyPandas

Portfolio

Konfio
GPT, Natural Language Processing (NLP)...
Grupo Alpha Investing
TensorFlow, Python, NumPy, LSTM，时间序列...
Swiftpark Australia
PHP, JavaScript, MySQL, HTML, OCR，计算机视觉，api，算法，XGBoost...

Experience

Deep Learning - 5 yearsUnsupervised Learning - 5 yearsSupervised Learning - 5 yearsConvolutional Neural Networks - 5 yearsPython - 5 yearsMachine Learning - 5 yearsArtificial Intelligence (AI) - 5 yearsComputer Vision - 4 years

Availability

Full-time

Preferred Environment

Jupyter Notebook, Google collaboration (Colab)， Google Docs, Visual Studio

The most amazing...

...我所建立的模型能够很好地预测布宜诺斯艾利斯证券交易所的短期波动, improving my client's ROI by 85%.

Work Experience

Data Scientist | Data Specialist

2021 - 2022
Konfio
  • 针对不同的业务用例处理各种与nlp相关的任务. 图像处理和简历相关的工作异常检测和欺诈预防.
  • 在AWS基础设施上部署和生产模型.
  • Performed monitoring, backtesting, 对产品化模型进行分析，以收集性能指标，并迭代部署新版本.
Technologies: GPT, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Computer Vision, TensorFlow, Python, AWS Lambda, Amazon S3 (AWS S3), Data Science, Deep Learning, Machine Learning, Supervised Learning, Unsupervised Learning, OpenCV, Computer Vision Algorithms, Artificial Intelligence (AI), APIs, Data Analytics, Algorithms, Data Visualization, OpenAI, 生成预训练变压器3 (GPT-3), Image Processing, Large Language Models (LLMs), Amazon Web Services (AWS), Anomaly Detection, XGBoost, Decision Trees, Supervised Machine Learning, Keras, Python 3, Convolutional Neural Networks, OCR, MySQL, Programming, Scikit-learn, Pandas, Jupyter Notebook, SQL, NumPy, Text Processing, Image Analysis, Classification Algorithms, AI Design, MVP Design, AI Programming, PyTorch, Natural Language Understanding (NLU), Language Models, Fine-tuning, Data Scientist, Hugging Face, Graphics Processing Unit (GPU), ChatGPT, OpenAI GPT-3 API

Data Scientist

2018 - 2021
Grupo Alpha Investing
  • 研究了几个深度学习和机器学习模型，为股票交易所的短期波动创造了可靠的预测指标.
  • 实施和生产基于lstm的网络，在布宜诺斯艾利斯证券交易所市场进行预测和自主操作.
  • 与之前的领域知识投资策略相比，客户投资的投资回报率提高了85%.
Technologies: TensorFlow, Python, NumPy, LSTM，时间序列, Machine Learning, Artificial Intelligence (AI), APIs, Data Analytics, Algorithms, Forecasting, Data Visualization, Supervised Machine Learning, Keras, Python 3, Computer Vision Algorithms, Programming, Scikit-learn, Pandas, Jupyter Notebook, Google Colaboratory (Colab), Deep Learning, Supervised Learning, Classification Algorithms, AI Design, Data Processing Automation, MVP Design, AI Programming, Fine-tuning, Data Scientist

Software Engineer | Machine Learning

2016 - 2018
Swiftpark Australia
  • 设计并开发了一个基于网络的系统来管理澳大利亚的停车自动化.
  • 概述并监督一款移动应用程序的开发，该应用程序用于停车检查人员使用地理定位和计算机视觉来获取车牌号码.
  • Assumed the ownership of the entire project, 与业务所有者讨论需求和目标.
Technologies: PHP, JavaScript, MySQL, HTML, OCR，计算机视觉，api，算法，XGBoost, Keras, Python 3, Computer Vision Algorithms, Programming, Scikit-learn, Pandas, Jupyter Notebook, Machine Learning, SQL, Deep Learning, Supervised Learning, TensorFlow, Classification Algorithms, MVP Design, AI Programming

Full-stack Web Developer

2008 - 2016
PampaWorks
  • 根据需要为数百个网站开发定制内容管理系统(CMS).
  • 评估客户需求并将其转化为具体的技术要求.
  • 实现文档化需求，构建数百个可管理的网站.
技术:PHP, MySQL, JavaScript, HTML, CSS，算法，编程，SQL, c#， MVP设计

Alternative Algorithm to Train ConvNets

作为我论文项目的一部分，我试验了训练卷积神经网络的替代算法. 这些是基于对哺乳动物视觉皮层如何通过堆叠层学习逐步总结可见数据的初步研究, just like ConvNets.

基于NLP的客户电话质量自动评估系统

开发了几个基于自然语言处理(NLP)的模块来评估公司座席和客户之间的电话质量. 每个NLP模块都被设计用来检查智能体在对话过程中是否遵循了特定的规则和策略. I set up the algorithms and technics, including speech-to-text, fuzzy matching, and transformer-based models (BERT, GPT-3).

使用LSTM架构的时间序列预测

创建了一个股票市场的短期仓位自治运营商. 基于LSTM架构，同时使用短期时间数据和长期指标. 我开发了一个系统，可以根据它的预测结果进行实时操作.

预测播种土地和作物类型的人工智能(CV)预测器

基于不同频段的卫星图像, 这个预测器估计其他作物的产量. 用不同的方法开发和测试了各种模型. 其中有一种是纯统计图像分割, an ensemble of decision trees (XGBoost), and others.

机器学习预测器，用于检测汽车何时已经停车

该项目旨在实时检测停车事件是否发生. 该模型将部署在车内的边缘设备中, 将加速度计的信号输入到模型中，每隔几秒就做出实时预测.

Languages

Python, Python 3, SQL, JavaScript, c#， Java, PHP, HTML, CSS

Libraries/APIs

NumPy, Pandas, Scikit-learn, OpenCV, Keras, TensorFlow, XGBoost, PyTorch

Paradigms

Data Science, Anomaly Detection

Platforms

Jupyter Notebook, Amazon Web Services (AWS)， AWS Lambda

Other

Google Colaboratory (Colab), Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Unsupervised Learning, Supervised Learning, Programming, Web Development, Convolutional Neural Networks, Artificial Intelligence (AI), Computer Vision Algorithms, Algorithms, Supervised Machine Learning, Classification Algorithms, AI Design, Data Processing Automation, MVP Design, AI Programming, Deep Neural Networks, NLU, GPT, Generative Pre-trained Transformers (GPT), Language Models, Fine-tuning, Data Scientist, Hugging Face, Long Short-term Memory (LSTM), OCR, Time Series, APIs, Data Analytics, Forecasting, Data Visualization, Image Processing, Large Language Models (LLMs), Decision Trees, Text Processing, Image Analysis, Natural Language Understanding (NLU), Image Generation, Document Parsing, Graphics Processing Unit (GPU), ChatGPT, OpenAI GPT-3 API, CI/CD Pipelines, OpenAI, 生成预训练变压器3 (GPT-3), Prompt Engineering

Tools

Google Docs, Visual Studio, Amazon SageMaker

Storage

MySQL, Amazon S3 (AWS S3)

2019 - 2023

Master's Degree in Data Science

布宜诺斯艾利斯大学-布宜诺斯艾利斯，阿根廷

2010 - 2017

Bachelor's Degree in Systems Engineering

航空大学学院-科尔多瓦，阿根廷

2010 - 2015

Professional Degree in Systems Analysis

航空大学学院-科尔多瓦，阿根廷

MARCH 2022 - PRESENT

Computer Vision Nanodegree

Udacity

DECEMBER 2021 - PRESENT

Practical Data Science

AWS

JULY 2021 - PRESENT

Building Cloud Computing Solutions at Scale

Duke University

MAY 2021 - PRESENT

Natural Language Processing

DeepLearning.AI

FEBRUARY 2021 - PRESENT

Tensorflow Developer

DeepLearning.AI

DECEMBER 2020 - PRESENT

AI for Medicine

Deep Learning AI

DECEMBER 2020 - PRESENT

Deep Learning

DeepLearning.AI

DECEMBER 2019 - PRESENT

Data Mining and Knowledge Discovery

University of Buenos Aires

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