Cesar Rodriguez, Developer in Berlin, Germany
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Cesar Rodriguez

Verified Expert  in Engineering

Machine Learning Developer

Location
Berlin, Germany
Toptal Member Since
February 22, 2016

Cesar is a software engineer with professional experience in web services and APIs using Python and Go. He's worked on projects involving Ruby, Java, and C++, and enjoys learning new technologies on the go. His ability to adapt and learn fast has proved to be a valuable skill when taking on new projects.

Portfolio

Veoo
Python, Redis, RabbitMQ, Kubernetes, Go
Ooyala
Docker, AngularJS, Public Health, Apache ZooKeeper, MongoDB, JavaScript, Python...
Amazon
MySQL, JDBC, Python, Java

Experience

Availability

Part-time

Preferred Environment

OS X, Unix

The most amazing...

...thing I've built from scratch was an eCommerce API using different technologies and used by international companies.

Work Experience

Software Engineer

2017 - 2019
Veoo
  • Built a SMPP server from scratch with internal business logic using Golang, RabbitMQ, and Redis for communication between microservices.
  • Implemented a real-time spam detection system using Python and scikit-learn.
  • Deployed the system in AWS using Docker, Kubernetes and ECS.
Technologies: Python, Redis, RabbitMQ, Kubernetes, Go

Software Engineer II

2013 - 2015
Ooyala
  • Designed and implemented an eCommerce API that handles subscriptions, purchases, and entitlements using Golang and Gorilla web frameworks.
  • Reworked a video ingestion system as a web service using Ruby, Sinatra, and MongoDB. Implemented its front end using JavaScript and AngularJS.
  • Created a manager-worker system using Docker and Ruby which parallelized the ingestion of videos. It was built so that also different types of jobs could be executed.
  • Implemented automated integration tests of the eCommerce API using Selenium.
  • Built a synchronization system in Golang used to ensure consistency across two data stores.
Technologies: Docker, AngularJS, Public Health, Apache ZooKeeper, MongoDB, JavaScript, Python, Ruby, Go

Software Developer Engineer Intern

2013 - 2013
Amazon
  • Provided an in-depth analysis of potential relation and non-relational database candidates to be considered in a database migration.
  • Rebuilt the data access object (DAO) layer to JDBC in order to alleviate memory consumption issues.
  • Wrote the Python script which would perform the database migration.
  • Made an analysis of several security system monitors.
  • Created a platform of monitors using the live data streams coming from security systems.
Technologies: MySQL, JDBC, Python, Java

Co-founder, Back-end Developer

2013 - 2013
GuideBuddy
  • Developed a reservation system for scheduling tours by guides to tourists.
  • Used Twilio SMS API as a part of the verification process of a user.
  • Implemented the integration test framework for verifications using Selenium.
  • Developed the integration of Elasticsearch with Django that allowed users to search the guide database.
  • Created a map search feature where Google Maps were used to display available users by location.
Technologies: Elasticsearch, Twilio, Selenium, MySQL, Django, Python

Undergraduate Researcher

2011 - 2013
Texas A&M University
  • Designed and built scalable parallel algorithms in C++ using an in-house parallel library called STAPL.
  • Implemented novel motion planning strategies which would be later published in scientific journals.
  • Created a 3D representation of an academic building to be used in a motion planning simulation.
  • Performed exhaustive tests of the parallel strategies using node clusters.
Technologies: C++

Xml2Go

https://github.com/cesar0094/xml2go
A Ruby script that generates Go structs based on a given XML. It manually generates the Go structs with their respective attribute tags is bothersome, slow, and prone to errors. With this script, a person can take a sample XML and obtain the equivalent Go struct. Useful when using SOAP APIs.
2015 - 2019

Master's Degree in Machine Learning and Data Analysis

University of Helsinki - Helsinki

2009 - 2013

Computer Engineering Degree in Computer Science

Texas A&M University - College Station

MAY 2019 - PRESENT

Structuring Machine Learning Projects

Coursera

MAY 2019 - PRESENT

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Coursera

MAY 2019 - PRESENT

Neural Networks and Deep Learning

Coursera

Libraries/APIs

NumPy, JDBC, Twilio API

Tools

RabbitMQ, Gorilla, Git, Apache ZooKeeper

Languages

Python, Go, SQL, Ruby, C++, CSS, Java, JavaScript, HTML

Frameworks

Django, AngularJS, Flask, Selenium, Ruby on Rails (RoR), Sinatra

Paradigms

Distributed Computing, Parallel Computing, REST, Agile Software Development

Platforms

Docker, Kubernetes, Unix, OS X, Twilio, MacOS, Linux

Storage

MongoDB, Redis, Elasticsearch, MySQL

Other

Machine Learning, Neural Networks, Public Health

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