Giovani Moctezuma Rodríguez León，墨西哥圣地亚哥de quersamaro的开发者
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Giovani Moctezuma Rodríguez León

Verified Expert  in Engineering

Artificial Intelligence (AI) Developer

Location
Santiago de Querétaro, Mexico
Toptal Member Since
November 27, 2020

乔瓦尼是一名专门研究人工智能的软件工程师, machine learning, and data science tech stacks. 他曾在创业公司和大企业的多元文化团队中工作, implementing data analytics, machine learning, and deep learning in the transportation, retail, job search, and supermarket sectors. As a freelancer and an entrepreneur, 乔瓦尼正在利用面部识别和计算机视觉创造自己的一套解决方案.

Machine LearningDeep LearningArtificial Intelligence (AI)PythonSoftware EngineeringComputer VisionRecommendation SystemsNatural Language Processing (NLP)C#.NET WinFormsLinuxTensorFlowOpenCVNumPySQLScikit-learnFacial RecognitionIBM WatsonDlib

Portfolio

QuetzAI
Scikit-learn, Keras, TensorFlow, OpenCV, C#.NET WinForms, Python...
Online Job Search Company
机器学习，推荐系统，Python，亚马逊网络服务(AWS)...
Systems Experts
数据科学，机器学习，深度学习，Python，计算机视觉，OpenCV...

Experience

Python - 4 yearsMachine Learning - 3 yearsTensorFlow - 3 yearsDeep Learning - 3 yearsArtificial Intelligence (AI) - 3 yearsComputer Vision - 3 yearsNatural Language Processing (NLP) - 2 yearsGPT - 2 years

Availability

Part-time

Preferred Environment

Keras, Scikit-learn, TensorFlow, Git, Visual Studio Code (VS Code)， Ubuntu, Python

The most amazing...

...thing I've designed, developed, 优化后的匹配算法将每次预测从2分钟缩短到10秒.

Work Experience

Founder

2019 - PRESENT
QuetzAI
  • 为客户内部管理系统构建定制的二维码解决方案.
  • 在一家大型杂货店的200万条记录数据集上开发客户细分.
  • 设计并开发了一个算法来预测拉丁美洲一个主要城市的犯罪发生和枪支收集.
  • 建立了一个完整的解决方案，自动进出体育中心, using facial recognition technology.
技术:Scikit-learn, Keras, TensorFlow, OpenCV, c#.NET WinForms, Python, Natural Language Processing (NLP), GPT, Generative Pre-trained Transformers (GPT), Computer Vision, Neural Networks, Data Visualization, Data Science, Machine Learning, Deep Learning

Machine Learning Engineer

2018 - 2019
Online Job Search Company
  • 从零开始实现一个ETL管道来处理整个站点数据库.
  • 设计并开发了一种定制匹配算法，使预测速度提高了两个数量级.
  • 设置Apache Solr以补充我的算法的匹配功能.
  • 将内部算法与第三方服务(如IBM Watson)混合，以增强匹配结果.
  • 在敏捷开发周期中遵循编码最佳实践.
Technologies: 机器学习，推荐系统，Python，亚马逊网络服务(AWS), Natural Language Understanding (NLU), IBM Watson, MySQL, ETL, NumPy, Apache Solr

AI Engineer

2017 - 2018
Systems Experts
  • 为某全国性运输企业开发了一种识别乘客出入口的算法, thereby reducing losses by about 10%.
  • 应用对象检测技术，以确保在全国范围内的食物链的欧博体育app下载质量.
  • 实现神经网络和经典的计算机视觉方法，使用TensorFlow和OpenCV.
  • 在两到三周内开发快速原型演示.
  • 使用敏捷方法和现场源代码控制来确保机密性.
Technologies: 数据科学，机器学习，深度学习，Python，计算机视觉，OpenCV, Linux, Object Detection, TensorFlow

Intern

2017 - 2017
Carso Research and Development Center
  • 设计了利用无人机对工业园区和建筑物进行监视的自主监控系统. 专注于提供价格低廉且易于替代的解决方案.
  • 在低级接口和代码上实现原始GPS度量，以优于传统的位置测量.
  • 开发了一个原型，成本比市场上类似的解决方案低70%.
  • 在一个月内设计并实现了一个完整的初始原型.
Technologies: Raspberry Pi, Linux, Wireless Protocols, Mechatronics, Sensor Fusion, Computer Vision, GPS, Drones

Face Recognition POC for Arizona State University

FaceMatch是亚利桑那州立大学技术办公室开发的基于人脸识别系统的概念验证，该系统是第三地平线计划(Third Horizon Initiative)的一部分. 我使用Python和AWS工具开发和设置了所有后端代码和基础设施.

Python SDK for Data Labeling Startup (RedBrickAI)

http://github.com/redbrick-ai/redbrick-sdk
一个公共包和开源Python软件开发工具包，用于数据标签公司与他们的后端基础设施无缝集成. I contributed to the development of new features, testing, and documentation while following coding best practices.

AI-powered Job Search Site

A full site for job search focused on IT. As the machine learning engineer, 我设计并开发了一种自动匹配算法，将现场算法与IBM Watson等第三方工具相结合，提高性能. 匹配功能是区别于竞争对手的一大优势.

对匹配算法的重新设计和实现使结果提高了两个数量级, from two minutes to less than 10 seconds per prediction. 最大的挑战是将来自不同来源和第三方api的数据结合起来，以产生高质量的预测.

Face ID for Sport Centers

这是一款离线、机器学习驱动的应用程序，可以自动在体育中心出入口. I designed and developed the whole solution, 后端采用基于cnn的人脸识别算法，前端采用WinForms UI.

该软件有助于管理体育中心合作伙伴，并消除因未付款或过期会员而造成的损失. 该解决方案能够以99%的准确率识别人(基于公共数据集)。.

Data Analysis and Insight Extraction for a Retail Store

An in-depth study of consumer trends for a retail store. As the primary data scientist, 我使用聚类和数据可视化执行客户细分技术，以提取强大的见解. 这需要分析数以百万计的记录，以确定基于客户人口统计和客户行为(如购买模式)的趋势.
2013 - 2018

Bachelor's Degree in Computer Science

克雷塔罗技术研究所-克雷塔罗，墨西哥

2017 - 2017

Bachelor's Degree in Computer Science (Study Abroad)

West Virginia University - Morgantown, WV, USA

AUGUST 2020 - PRESENT

TensorFlow: Data and Deployment

DeepLearning.AI (via Coursera)

AUGUST 2020 - PRESENT

TensorFlow Developer

DeepLearning.AI (via Coursera)

APRIL 2018 - APRIL 2021

HCNA Routing & Switching

Huawei ICT Academy

Libraries/APIs

TensorFlow, Scikit-learn, OpenCV, PyTorch, Keras, NumPy, Pandas, REST api, Flask-RESTful, Dlib

Tools

C#.NET WinForms, Git, Apache Solr, IBM Watson, Jupyter, TensorBoard, NGINX, GitHub, PyPI, Travis CI, Pytest

Languages

Python, SQL, GraphQL

Paradigms

Data Science, Object-oriented Programming (OOP), ETL

Storage

MySQL, SQLite, JSON

Platforms

Linux, Jupyter Notebook, Ubuntu, Amazon Web Services (AWS), Raspberry Pi, Amazon EC2, Visual Studio Code (VS Code)

Frameworks

Flask

Other

Machine Learning, Deep Learning, Artificial Intelligence (AI), Computer Vision, Recommendation Systems, Natural Language Processing (NLP), Software Engineering, Mathematical Modeling, Object Detection, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNNs), Facial Recognition, GPT, Generative Pre-trained Transformers (GPT), Natural Language Understanding (NLU), Data Visualization, Feature Analysis, Linear Algebra, Unsupervised Learning, Data Analysis, Drones, GPS, Sensor Fusion, Mechatronics, Wireless Protocols, Gunicorn, API Documentation, HTTPS, Open Source

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