Summary
Overview
Work History
Education
Skills
Languages
Timeline
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Fabian Alejandro Rio

Computer Science
Mendoza

Summary

With nearly two decades of expertise in the technology business, I am an expert in the research, development, and implementation of very complex digital projects at Virbigo. My profession is defined by a thorough understanding of the digital ecosystem, including both technical and business aspects, while always keeping a customer-centric focus. I have worked on all stages of the digital product lifecycle, from designing and creating IoT solutions to deploying software platforms, APIs, and mobile applications and integrating AI technologies. My goal is to design complex solutions that offer clients an unsurpassed level of quality and efficiency. Innovation and dedication to generating meaningful results have enabled me to succeed in the dynamic and challenging climate of the digital sector.

Throughout my career, I've led multidisciplinary teams on new initiatives while always striving for perfection. My major strengths include motivating leadership, teamwork, project management, strategic planning, adaptability, and a constant learning mentality.

I've used Node.js to create back-end services and REST APIs on Google Cloud Platform and AWS, as well as solutions employing Docker, Kubernetes, MongoDB, Redis, and MySQL in continuous integration environments. I also have experience with PHP and some knowledge of Python, as well as skills in systems architecture and serverless deployments using cloud services. I have a thorough understanding of agile approaches such as Scrum and Kanban, and I've used tools like Jira and Confluence while working in both large teams and small groups, whether in the office, distributed, or remotely.

Overview

22
22
years of professional experience
8
8
years of post-secondary education

Work History

ML Engineering Manager

Turing.com
3 2022 - Current
  • Led teams of up to 10 people to deploy important initiatives: Transitioning the data science stack to GCP Vertex AI platform and adopting feature store
  • This helped unify online and offline feature generation codebase, made model deployments less risky, streamlined model development, and unblocked data scientists to work in parallel, improving time to production 7x
  • Introducing of a source of truth layer in data warehouse, to be able to integrate data contracts and improve data quality, remove code duplication from the codebase, resulting in 3x reduction on the size of data engineering codebase and freeing up data analyst resources.

Head of Digital Technologies

Inipop
02.2021 - Current
  • Enhanced website UX/UI design with comprehensive A/B testing, resulting in greater visitor retention rates and conversions.
  • Improved website traffic by using effective SEO methods and optimizing online content.
  • Improved mobile app performance and user experience by providing regular updates and bug fixes.
  • Created detailed digital roadmaps detailing short- and long-term goals for firm growth in the digital realm.
  • Guided teams with creative concepts to assure the creation of digital solutions based on emerging technologies such as IoT, AI, ML, fog/edge computing, neural networks, computer vision, and blockchain.
  • Created IoT systems, including hardware and firmware, connection design and selection (licensed and unlicensed), cryptography layers, communication protocols, AI microservices, and IoT platform integration or development.

ML Engineering Team Lead

Turing.com
09.2021 - 03.2022
  • Led a team of 4 people to rewrite the existing ranking module from Node.js to python, while enabling ML and unblocking data scientists to deploy models
  • From 0 lines of code to production in 1 month.

Software Engineer

Satellogic
03.2019 - 10.2019
  • Developed scalable and maintainable code to ensure long-term software reliability. Created reusable components that dramatically saved development time across several projects. Implemented effective debugging methodologies, resulting in fewer software flaws and higher reliability.
  • Integrated new technologies into existing systems, increasing capabilities and improving overall performance.
  • Improved data transmission efficiency between satellites and ground stations, resulting in better real-time connectivity and lower latency.
  • Worked closely with hardware, aerospace, and systems engineers to ensure that software development was consistent with the overall satellite design and mission requirements.
  • Established effective communication channels within the team, resulting in increased collaboration among members during the project development phases.

Software Engineer

Cribl
08.2016 - 01.2019
  • Developed scalable and maintainable code to ensure the software's long-term stability.
  • Improved software performance by detecting and addressing code bottlenecks.
  • Contributed to the development of internal metrics for LogStream, a high-performance, large-scale server log and data processor that filters, formats, compresses, and routes data to various destinations.
  • Integrated new technologies into existing systems, increasing capabilities and improving overall performance.
  • Created strong, scalable, modular, and API-centric infrastructures.

Senior Data Scientist

Xubio
04.2011 - 01.2016
  • Reduced time spent on manual tasks by developing automated processes using Python scripts and SQL queries.
  • Optimized data models by implementing machine learning algorithms and advanced statistical techniques.
  • Enhanced business decision-making with robust statistical analyses, including regression modeling and hypothesis testing.
  • Presented complex findings to non-technical stakeholders through clear visualizations and concise reports.
  • Mentored junior team members in advanced statistical modeling techniques, promoting professional growth and skill development.

Sr. QA Analyst & Sr. Tech Support

Tecinverco S.A
05.2009 - 03.2012
  • Provided critical feedback on user experience, resulting in major improvements to application usability and customer happiness.
  • Effectively managed the defect tracking system, ensuring clear communication channels with stakeholders about bug status and resolution timescales.
  • Championed the use of Agile practices in the QA department, encouraging flexibility in response to changing project requirements
  • Developed a thorough understanding of product needs through close collaboration with business analysts, providing valuable insight during the requirement collection process.
  • Perform quality testing and validation (QA) on hardware, software, firmware, and telecommunications to ensure compliance with standards and functionality.
  • Compare prototypes to R&D specifications, which include comprehensive testing and documentation review.
  • Create information in accordance with ISO 9000 requirements for production zones.

Intern Data Scientist

Globant
06.2002 - 08.2003
  • Gained hands-on experience in various software programs, increasing proficiency and expanding technical skill set.
  • Prepared comprehensive reports summarizing data analysis findings, informing key decision-makers of important trends and patterns.

Education

Ph.D. - PhD in Computer Engineering

University of Buenos Aires
Argentina
04.2013 - 01.2015

Master of Science - Master's in Strategic Management of Information

University of Buenos Aires
Argentina
04.2009 - 01.2013

Bachelor of Science - Degree in Automation Systems & Robotics Management

University of Buenos Aires
Argentina
05.2020 - 05.2023

Skills

As a seasoned computer science professional with over ten years of experience, I am well-versed in software development, algorithms, data structures, and system architecture My skill set includes knowledge of programming languages like Python, Java, and C, as well as substantial familiarity with Verilog for hardware description and digital design I am skilled at developing scalable applications and REST APIs and using cloud platforms such as AWS and Google Cloud I also have a strong understanding of database management using SQL and NoSQL technologies, as well as familiarity with agile processes, continuous integration, and DevOps approaches My background also includes expertise in machine learning, data analysis, and IoT solutions, allowing me to take on complicated challenges across multiple domains

Languages

French
Proficient
C2
English
Proficient
C2
Spanish
Proficient
C2

Timeline

ML Engineering Team Lead

Turing.com
09.2021 - 03.2022

Head of Digital Technologies

Inipop
02.2021 - Current

Bachelor of Science - Degree in Automation Systems & Robotics Management

University of Buenos Aires
05.2020 - 05.2023

Software Engineer

Satellogic
03.2019 - 10.2019

Software Engineer

Cribl
08.2016 - 01.2019

Ph.D. - PhD in Computer Engineering

University of Buenos Aires
04.2013 - 01.2015

Senior Data Scientist

Xubio
04.2011 - 01.2016

Sr. QA Analyst & Sr. Tech Support

Tecinverco S.A
05.2009 - 03.2012

Master of Science - Master's in Strategic Management of Information

University of Buenos Aires
04.2009 - 01.2013

Intern Data Scientist

Globant
06.2002 - 08.2003

ML Engineering Manager

Turing.com
3 2022 - Current
Fabian Alejandro RioComputer Science