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Javier Ortiz
Verified Expert in Engineering
Testing Developer
Antibes, France
Toptal member since April 19, 2018
Bio
Javier loves challenges and new technologies. He has a strong background in C++ and Python and the vast Cloud DevOps experience (AWS Certified). He's worked with large companies such as Intel or Amadeus and for several startups and research-based companies. Javier is currently based in France and can communicate in Spanish, English, and French.
Portfolio
AUSY
Kubernetes, Helm, Docker, Amazon Web Services (AWS), Grafana, GitLab...
Amadeus
Amazon Web Services (AWS), AWS Cloud Computing Services, Bash, Scrum...
Inria
OpenCV, Bash, Django, Scrum, Docker, Python, Qt, C++
Experience
- Testing - 7 years
- Python - 5 years
- C++ - 5 years
- Qt - 5 years
- Django - 4 years
- JavaScript - 3 years
- Docker - 2 years
Work Experience
Cloud DevOps Architect
2020 - PRESENT
AUSY
- Led the definition and development of the Cloud-based architecture for a Platform as a Service proposed to clients.
- Worked on the product that consisted of multiple services deployed on top of a Kubernetes cluster providing code source and project management.
- Created the product that allows easy deployments and testing running agents in the same Cloud Platform that is provided to clients.
Technologies: Kubernetes, Helm, Docker, Amazon Web Services (AWS), Grafana, GitLab, GitLab CI/CD, Jenkins, SonarQube
Senior Back-end Engineer
2017 - PRESENT
Amadeus
- Led the development of a back-end (Python and Django) and the APIs (JavaScript and React) for two different POCs for the innovation team in the airline industry.
- Industrialized the chatbot learning process by implementing a full pipeline that integrates tools for manual tagging, model learning, and testing for Dialogflow, Wit, RasaNLU, and Watson.
- Developed and maintained a solution that redirects incoming seat availability requests to different back-ends (C++) in order to collect (Kafka) and compare them (Python).
- Working as a DevOps for the migration of several products to the cloud (AWS and GCP).
Technologies: Amazon Web Services (AWS), AWS Cloud Computing Services, Bash, Scrum, Google Cloud Platform (GCP), Kubernetes, Docker, Python, C++
Computer Vision Developer
2016 - 2017
Inria
- Led the engineering efforts for the tracking-and-re-identification component in the Movement project. This project focused on managing restricted security areas of French airports via surveillance cameras and biosensors.
- Implemented state-of-the-art computer vision algorithms and adapted them to industry needs.
Technologies: OpenCV, Bash, Django, Scrum, Docker, Python, Qt, C++
Cloud Software Engineer
2015 - 2016
Intel
- Developed and maintained the infrastructure in an internet-of-things-related product enabling real-time data processing in the cloud with strong security requirements.
- Integrated and tuned cloud-based solutions with Kafka, HBase, Impala, Storm, and Spark while using Amazon services as CloudFormation, S3, EBS, Route 53, and more.
- Enhanced the scalability and flexibility of the product that provided Docker images for each component in the cluster.
- Provided REST APIs to interact with the product and integrated it with the McAfee EPO solution.
Technologies: AWS Cloud Computing Services, Bash, Scrum, Arduino, Java, Hadoop, Apache Kafka, Spark, Docker, Amazon Web Services (AWS)
Computer Vision Researcher
2014 - 2015
Inria
- Researched and developed new features and methods for human reidentification.
- Developed and improved the capabilities of a framework used for re-identification and used in public places, airports, and supermarkets.
- Implemented people re-identification, feature extraction, machine learning, and facial recognition algorithm benchmarking.
Technologies: OpenCV, Bash, Django, MATLAB, Python, Qt, C++
Back-end Software Engineer
2012 - 2014
Mercado Libre
- Integrated a Mercado Pago back-end with several banks across Latin America.
- Installed fraud detection.
- Executed payment optimizations for eCommerce processes.
Technologies: Bash, Scrum, Java, MySQL, Grails, Groovy
Software Engineer
2010 - 2012
Intel
- Conducted R&D by making proof of concepts for new projects in order to demonstrate the technical feasibility and business potential.
- Implemented media content protection over social networks using video memory protection mechanisms on Window systems.
- Extracted metadata for video displays over Linux-based set-top boxes.
- Implemented subtitle exposure and synchronization over a WiFi network.
Technologies: Bash, Microsoft Word Add-on Development, Browsers, Python, C++
Project History
Paper: Strategies to Optimize the LU Factorization Algorithm in Multicore Computers
This paper presents a series of alternatives for the parallelization of the LU factorization algorithm and its results; it was intended to run on a multicore system. The study presents complex strategies that merge the double levels of parallelism with asynchronous scheduling—the results reaching up to the state-of-the-art field levels and may go even further.
Paper: Minimizing Hallucinations in a Histogram of Oriented Gradients
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7301764In this paper, we showed that an incautious application of L-like norms to the HOG descriptor might produce a hallucination effect. To overcome this issue, we propose a new normalization scheme that effectively minimizes this undesired effect. We validated our approach on person re-identification and action recognition, demonstrating a significant boost in the performance.
Movement Project
This project focuses on managing restricted security areas of French airports via surveillance cameras and biosensors.
Education
2007 - 2013
Master's Degree in Computer Engineering
Universidad Nacional de Córdoba - Córdoba, Argentina
Certifications
MAY 2021 - PRESENT
Professional Scrum Master
Scrum.org
DECEMBER 2020 - PRESENT
AWS Certified Solutions Architect
Amazon Web Services (AWS)
DECEMBER 2018 - PRESENT
Deep Learning Specialization
Coursera
Skills
Libraries/APIs
React, OpenCV, Microsoft Word Add-on Development
Tools
Git, GitLab, Helm, GitLab CI/CD, Jenkins, SonarQube, AWS CloudFormation, MATLAB, Grafana
Languages
Python, C++, Bash, JavaScript, Java, Groovy, PEARL
Frameworks
Qt, Django, Hadoop, Grails, Flutter, Spark
Paradigms
Scrum, Testing, Distributed Computing, Parallel Computing, Agile, DevOps
Platforms
Docker, Amazon Web Services (AWS), Apache Kafka, Linux, AWS Cloud Computing Services, Google Cloud Platform (GCP), Kubernetes, Arduino
Storage
MongoDB, MySQL, PostgreSQL, Amazon S3 (AWS S3)
Other
Performance Analysis, Prometheus, Browsers
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