Josip Puniš

Josip puniš

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location of Josip PunišZagreb, Zagreb, Croatia
Followers of Josip Puniš486 followers
  • Timeline

  • About me

    Machine Learning Engineer at Epam ● Natural Language Processing ● LLM

  • Education

    • Tehnički fakultet u rijeci

      2015 - 2017
      Master of engineering (m.eng.) computer engineering a, cum laude
    • Veleučilište u rijeci

      2009 - 2013
      Bachelor's degree computer science
  • Experience

    • Sarda d.o.o.

      Dec 2015 - Jun 2017
      Software developer
    • Ericsson

      Oct 2017 - Mar 2019
      Software developer

      ● Contributed to the development of a web application for monitoring 3G, 4G, and 5G mobile networks. Primarily focused on frontend development using TypeScript within an internal framework, while also gaining experience in backend development with Spring Boot. Utilized Docker for containerization and InfluxDB for effective time-series data management, enhancing the application's performance and scalability.

    • Poslovna inteligencija

      Mar 2019 - Oct 2021
      Senior software engineer

      ● Led the design and development of a data warehouse for IPTV monitoring for a regional telecom provider, efficiently processing large datasets using Python, Apache Airflow, Kafka, and Vertica Database.● Designed a proof of concept (POC) for AD recommendations leveraging the previously developed data warehouse, enhancing targeted advertising capabilities.● Led the design and development of a web application in Django to facilitate seamless data migration between various databases, improving data accessibility and integration.● Executed a variety of machine learning projects, including predicting hotel reservation trends to optimize occupancy rates, showcasing expertise in data analysis and model implementation. Show less

    • Legit

      Mar 2021 - Jan 2025
      Senior machine learning engineer

      ● Implementation and evaluation of advanced methodologies for detecting personal data in both structured and unstructured data sources● Achieved significant improvements in model accuracy while optimizing CPU runtime, ensuring efficient performance without sacrificing quality.● Designed a scalable architecture to effectively process large volumes of data within reasonable timeframes and resource constraints, driving operational efficiency.● Enhanced document parsing processes and optimized optical character recognition (OCR) capabilities, improving accuracy and speed of data extraction.● Designed and developed software solutions for effective searching and retrieval of personal data● Created and implemented a robust entity disambiguation model to improve the accuracy of entity identification and linkage across diverse datasets. Show less

    • Epam systems

      Feb 2025 - now
      Machine learning engineer
  • Licenses & Certifications