Luis Sobrecueva Menéndez

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Email: luis@sobrecueva.com

Location: Remote, Spain

Work Experience

Software Engineer at Cabify, Sep 2020 – Present, Remote

Lead Software Engineer at Infopraca.pl (Infojobs Poland), Oct. 2017 – Aug. 2020, Barcelona

• Doing the complete migration and knowledge transferring of our code base, deployment and development process of India site to Indeed team (it was sold to them recently)
• Coordinating a full remote developers team.
• In charge of our recruitment process and mentoring of our new developers.
• Research, implementation and release to production of a new concept based recommender using clustering algorithms to make jobs recommendations to the candidates based on their resumes and…

Lead Developer at Careesma, Apr. 2015 – Oct. 2017, Barcelona

Company: Careesma AKA Infojobs Poland (infopraca.pl), Austria (careesma.at) and India (careesma.in)

• Coordinating a team of five developers (some of them remote).
• Designing, and implementing scale-sensitive features (e.g., involving the deployment of new services).
• Extending our code base, deployment and development process to add a new country job board portal.
• Participating in the migration of our code base to a new stack (Python/Django), adapting our development tools and processes, and our release process.- In charge of our recruitment process and mentoring of our new developers.
• Working with Spark to make jobs recommendations to the candidates based on their preferences
• Applying deep learning analysis of our logs using TensorFlow/Keras to empower big data-driven decision-making in key areas (improve efficiency, attract customers and boost revenue).

Full Stack Engineer at Intercom World Wide, Sep. 2008 - Apr. 2015, Barcelona

Company: Intercom World Wide (Infojobs International)

• Developing a high performance multilingual job search engine (>5.000.000 users and >30 million pages views per month) for Austria (careesma.at), Italy (infojobs.it), India (careesma.in) and Poland (infopraca.pl).

• Working on Linux and GPL software, implementing several projects using a wide range of technologies, such as Python, Django, Php, C++, Solr (Lucene), MySql, Redis, Jenkins, etc.

• Using agile methodologies (Scrum), continuous integration and test drive development in every project.

Software Engineer at Velneo, Jul. 2005 - Sep. 2008, Gijón

Company: Velneo S.L., (Gijón, Vigo, Madrid)

• Linux team leader: Involved in the development of the multithreading kernel, db engine, client/server module, and UI using the QT multi platform libraries.

Senior Developer at Atica Software, Oct. 2001 - Jul. 2005, Gijón

Company: Atica Software

• Development Team member of Velazquez Visual platform, using Visual C and MFC libraries

Research fellow at ​Oviedo University, Sept. 1999 - Sept.2001

Company: Oviedo University (Engineering Project Area)

Making several projects:

• Development of an application for plotting and calculating perimeters by a laser meter (VBasic).
• Programming of a weathering simulator for refractory spoons for the company Arcelor (Visual C and algorithm obtained by training neural networks).
• Development of an application for the design and cutting of 3D furniture (Java and VRML).
• Programming of a Voice IP program in the Irix 6 Operating System (Silicon Graphics).

Relevant side projects:

• Subzin: It is a Movie Quotes Search Engine. In this project I am making index optimization tests, performance analysis, scalability issues, a/b testing and SEO (DB: > 80M rows, Traffic: >600K unique users/month, SEO: >450K organic users). I sold the project to an american company in 2017
• QuoDB: Single page app version of subzin (implemented with backbone for the frontend and Restler for the json API)
• Open source projects and experiments: https://github.com/lusob

Certified Education

System Software Engineering; U.N.E.D. (National University of Distance Education)

Foundation degree, Artificial Intelligence, Deep Learning Nanodegree (Udacity 2017) Certification

MicroMasters Program in Statistics and Data Science; MIT (Massachusetts Institute of Technology) 2019 – 2020 Certification

Courses

Machine Learning Coursera course (Stanford University 2015) This 10 weeks course provides a broad introduction to machine learning, data mining, and statistical pattern recognition.

Website performance optimization This course covers techniques used to optimize HTML, CSS and JavaScript in order to improve website page speed and user experience.

Books

Author of Automated Machine Learning with Autokeras

Aditional information

Human Languages:

• Spanish (native speaker)
• English (professional working proficiency)

More info:

• http://www.linkedin.com/in/lusob
• Velneo V7 UI lecture (some years ago)