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José María López Palomo
Ruby on Rails, Angular, Big Data and Machine Learning developer
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I am a passionate and proactive person who continuously searches for the most cutting-edge technologies when solving complex problems. I'm extremely familiar using Angular and Ruby on Rails as a powerful web pair, complemented with other modules such as D3.js. I'm also very comfortable working with Elasticsearch, Hadoop, PySpark, and machine learning.
Ruby on Rails
- 5 years experience
5 years developing using Ruby on Rails both Fullstack and API with an external front application developed with Angular. Intensive use of RSpec and Cucumber for TDD and BDD respectively and PostgreSQL as common purpose database.
- 5 years experience
5 years developing using AngularJS, Angular2, 4 and 5 nowadays as the main technology for front applications normally connected with a Ruby on Rails core API. Intensive use of karma for TDD and deploy using Jenins as Continuous Integration and NGINX as main server and load balancer
- 4 years experience
Implemented Elasticsearch clusters from scratch for different project configuring each parameter for an optimal performance. Also intensive use of related products as Kibana (for exploring the information) and X-Pack for security, alerting, reporting...
- 3 years experience
Big data technologies applied to different projects to load, manipulate, transform and store of giant data using the Apache Hadoop stack, HDFS as file system, Mapreduce as paradigm and Spark and Pyspark as working technology
Assistant for the learning process of Spanish for foreigners
Research project focused on the implementation of a software system to support learning of Castilian for foreigners via the recording and subsequent phonetic quality assessment. The whole process was raised from the implementation of an RIA (Rich Internet Application) with Applet technology that provides the Java programming language. Also implemented a web server that housed the core application, all media resources and all contents that since didactic departamenteo were deemed necessary as lessons, levels, etc..
Client: University of Valladolid
Development of a complete data centre management solution (concurrentCOMMAND), built on a hardened 1U server appliance, that enhances staff productivity, maximises system uptime and drives cluster efficiency. The product interfaces with facilities management infrastructure, rack-based devices and IT systems in order to identify a wide range of energy-saving strategies across the data centre.
Client: Concurrent Thinking
Development of a visual tool for semantical analysis and correlation of educational contents in order to assist and and speed up the process of learning using the d3.js library for presenting the data in an innovative, visual and interactive style.
Buzz Social Data Analyzer
Development of marketing focused web applications that using high demanding technologies like Big Data and semantical interpretation and in combination with a powerful team of multidisciplinary analysts, consultants and researchers, help and assist our first class clients to achieve their goals and build competitive strategies.
Client: Bufete de Marketing