Cesar Rodriguez, Developer in Berlin, Germany
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Cesar Rodriguez

Verified Expert  in Engineering

Machine Learning Developer

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.


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




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
  • 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
  • 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
  • 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
  • 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++


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


Structuring Machine Learning Projects



Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization



Neural Networks and Deep Learning



NumPy, JDBC, Twilio API


RabbitMQ, Gorilla, Git, Apache ZooKeeper


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


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


Distributed Computing, Parallel Computing, REST, Agile Software Development


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


MongoDB, Redis, Elasticsearch, MySQL


Machine Learning, Neural Networks, Public Health

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