Ignacio Lizarralde

Ignacio Lizarralde

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Engineering Manager at Upwork
Tandil, Buenos Aires Province, Argentina

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Résumé


Jobs verified_user 0% verified
  • Webflow
    Senior Software Engineer
    Webflow
    Dec 2025 - Current (10 months)
  • Canary Technologies
    Senior Fullstack Engineer
    Canary Technologies
    Dec 2024 - Dec 2025 (1 year 1 month)
    At Canary Technologies, I work as a fullstack engineer on the Guest Foundations team, focusing on the company’s messaging platform — a core product that enables hotels to communicate seamlessly with their guests throughout the stay. The stack is primarily Django (Python) on the backend and Vue.js on the frontend.

    Our work directly impacts the guest experience, helping hotels streamline check-in, provide real-time support, and drive engagement through personalized messaging. I collaborate closely with product, design, and other engineering teams to build new features, improve system reliability, and ensure scalability as we grow.
  • Upwork
    Senior Engineering Lead - Client Retention and Activation
    Upwork
    Feb 2024 - Nov 2024 (10 months)
  • Upwork
    Engineering Lead - Acquisition / Growth Platform
    Upwork
    Dec 2020 - Apr 2024 (3 years 5 months)
    • Led the engineering team responsible for developing and maintaining key acquisition and growth platforms, contributing to a significant increase in user acquisition and overall platform growth.
    • Architected and maintained the majority of the visitor-facing pages on Upwork.com, including the homepage, SEO-optimized pages, and key landing pages, resulting in improved site performance and higher conversion rates.
    • Played a crucial role in the successful integration of SEO strategies within the platform, leading to a notable increase in organic traffic.
  • Upwork
    Pod Technical Leader - Upwork Talent Lifecycle Team
    Upwork
    Feb 2020 - Dec 2020 (11 months)
  • Upwork
    Senior Backend Software Engineer - Upwork Enterprise Team
    Upwork
    Mar 2019 - Feb 2020 (1 year)
    • Developed and maintained scalable backend solutions to support Upwork’s enterprise customers, enabling large businesses to effectively utilize the platform.
    • Collaborated closely with product management and design teams to deliver high-quality, innovative solutions tailored to enterprise-level needs.
    • Managed microservices architecture, leveraging technologies such as Java, Dropwizard, and Amazon ECS, to ensure robust and efficient backend operations.

    Backend: Microservices, Java, Dropwizard, Guice, Hystrix, Archaius, RXJava, Eureka, Zipkin, Amazon EC2, Amazon ECS.

    Frontend: Vue.js, Nuxt.js, Vuex, SASS.
  • T
    Technical Leader
    Apr 2016 - Oct 2016 (7 months)
    • Led a cross-functional team in the successful delivery of multiple enterprise-level Java applications, leveraging a variety of technologies including Spring, Spring Boot, Apache Camel, Active MQ, Postgres, Java EE, Hibernate, Docker, Jenkins, and Ansible.
    • Architected and implemented a comprehensive refactoring of a critical loan system, resulting in a 50% reduction in codebase while maintaining full functionality and improving system performance.
    • Enhanced team productivity by streamlining communication and collaboration processes, ensuring alignment across all project phases and successful project delivery.
  • B
    Java Software Engineer
    Blitz IT S.A.
    Jan 2016 - Apr 2016 (4 months)
  • CONICET
    PhD Student
    CONICET
    Apr 2014 - Mar 2019 (5 years)
    Research Focus: Application of Data Mining, Machine Learning, and Natural Language Processing for Information Retrieval
    • Named Entity Expansion Technique: Developed an innovative method for expanding Named Entities in Web Service descriptions, leading to a significant 27% improvement in the probability of finding relevant services within the top three search results compared to existing approaches.
    • Structural-Semantic Algorithm: Designed a cutting-edge Structural-Semantic algorithm to optimize service selection from Web Service registries, achieving an impressive 86% increase in the retrieval of relevant services over traditional methods.
Education verified_user 0% verified
  • Universidad Nacional del Centro de la Provincia de Buenos Aires
    Analyst Programmer, Computer Software Engineering
    Universidad Nacional del Centro de la Provincia de Buenos Aires
  • Universidad Nacional del Centro de la Provincia de Buenos Aires
    Systems Engineering, Computer Software Engineering
    Universidad Nacional del Centro de la Provincia de Buenos Aires
  • Universidad Nacional del Centro de la Provincia de Buenos Aires
    Systems Engineering Computer Software Engineering
    Universidad Nacional del Centro de la Provincia de Buenos Aires
  • Universidad Nacional del Centro de la Provincia de Buenos Aires
    Analyst Programmer Computer Software Engineering
    Universidad Nacional del Centro de la Provincia de Buenos Aires
  • Universidad Nacional del Centro de la Provincia de Buenos Aires
    doctor, Doctor of Philosophy (Ph.D.) Computer Science
    Universidad Nacional del Centro de la Provincia de Buenos Aires
    Jan 2014 - Jan 2019 (5 years 1 month)
  • Universidad Nacional del Centro de la Provincia de Buenos Aires
    Doctor of Philosophy (Ph.D, Computer Science
    Universidad Nacional del Centro de la Provincia de Buenos Aires
    Jan 2014 - Jan 2019 (5 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • S
    Smartweb
    Service Registry that utilises Data mining, Machine Learning and Natural Language techniques to improve web service retrievability.
  • R
    Rocket Server
    Webmail backend using NodeJS with Express.
  • R
    Rocket Webmail
    Webmail frontend using React and Redux.
Awards verified_user 0% verified
  • C
    Mencion de Honor
    Conferências IberoAmericanas WWWInternet e Computação
    Mención de honor por "Un enfoque semántico-estructural para la selección de servicios web". 13ª Conferências Ibero-Americanas WWW/Internet e Computação Aplicada, Florianópolis, Santa Catarina, Brasil.
  • N
    TICS Scholarship
    National Agency for Science and Technology Promotion ANPCyT
  • Fundación Sadosky
    Sadosky Award
    Fundación Sadosky
    Best paper award for "An energy-saving model for service-oriented mobile application development". 43 Argentine Conference on Computer Science and Operations Research (JAIIO)
  • CONICET
    Doctoral Research Scholarship
    CONICET
Publications verified_user 0% verified
  • S
    Word embeddings for improving REST services discoverability
    Simposio Latinoamericano de Ingeniería de Software CLEI In Computing Conference CLEI XLIII Latin American IEEE Córdoba Sep
  • P
    An energy-saving model for service-oriented mobile application development
    Proceedings of the th Argentine Symposium on Software Engineering ASSE Argentine Conference on Computer Science and Operations Research JAIIO SADIO ISSN pp Autonomous City of Buenos Aires Argentina
  • J
    Exploiting named entity recognition for improving syntactic-based web service discovery
    Journal of Information Science Aug
    Lizarralde, I., Mateos C. M., Rodriguez, J. M., & Zunino, A. Exploiting named entity recognition for improving syntactic-based web service discovery. Journal of Information Science, 1-18. (2018).
  • I
    Mining Social Web Service repositories for social relationships to aid service discovery
    IEEEACM th International Conference on Mining Software Repositories Jan
    Corbellini, A., Godoy, D., Mateos, C., Zunino A,. & Lizarralde, I.
  • I
    Discovering web services in social web service repositories using deep variational autoencoders
    Information Processing Management Jul
    Web Service registries have progressively evolved to social networks-like software repositories. Users cooperate to produce an ever-growing, rich source of Web APIs upon which new value-added Web applications can be built. Such users often interact in order to follow, comment on, consume and compose services published by other users. In this context, Web Service discovery is a core functionality of modern registries as needed Web Services must be discovered before being consumed or composed. Many efforts to provide effective keyword-based service discovery mechanisms are based on Information Retrieval techniques as services are described using structured or unstructured textdocuments that specify the provided functionality. However, traditi
  • ª
    Un enfoque semántico-estructural para la selección de servicios web.
    ª Conferências IberoAmericanas WWWInternet e Computação Aplicada ISSN pp Florianópolis Santa Catarina Brasil Nov
  • I
    A structural-semantic web service selection approach to improve retrievability of web services
    Information Systems Frontiers Dec
    Garriga, M., De Renzis, A., Lizarralde, I., Flores, A., Mateos, C., Cechich, A., & Zunino, A. Information Systems Frontiers, 1-26.
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