Máme merch, ktorý ste si všetci pýtali! Kúpiš TU TU TU.Máme merch!

Pracovné ponukyFreelanceri🔥 PROČlenstvo

Dostupný

Rastislav Papšo

Software | Data | AI | ML - Engineer | Consultant 📊

Hodinovka: 3050

Úroveň: Mid

Registrovaný: 23.05.2024

Developeri
C++BackendPythonC#DatabaseMachine LearningGISData AnalystAI...
C++BackendPythonC#DatabaseMachine LearningGISData AnalystAIConsultingIT Project Management

With over 4 years of experience 💼 in Software Engineering, Data Science, and AI, I’m here to help turn your ideas into a real-world solution. Whether you're looking to develop a software product 💻, refine your data strategy 📊, or explore the potential of AI technologies like Large Language Models 🤖, I have the expertise to partner with you every step of the way. Here’s how I can help:

  • Design and development of software products: From ideation and Proof of Concept (PoC) to a production-ready solution, I’ll guide you through the entire process.
  • Data strategy development: I can help you craft a data strategy that supports your organization in making more data-driven decisions.
  • AI/ML experimentation and deployment: Whether you need simple ML models or the latest GenAI solutions, I can help you experiment with them and bring these technologies into production.

Vzdelanie

Faculty of Information Technology, Brno University of Technology

Doctor’s degree, Computer Science (Sep 2022 - Dec 2023)

  • Dissertation topic: Recommender and adaptive web-based systems
  • Not finished the degree due to the decision to pursue career in industry

Faculty of Management Science and Informatics, University of Žilina

Master’s degree, Computer science (Sep 2020 - Jun 2022)

  • Master’s thesis: Size reduction of deep neural networks in classification tasks
  • Received a dean's award for excellent academic results
  • Graduated with distinction

Faculty of Management Science and Informatics, University of Žilina

Bachelor’s degree, Computer science (Sep 2017 - Jun 2020)

  • Bachelor’s thesis: Face identification based on a small amount of data
  • Received a dean’s award for the bachelor’s thesis

Portfólio

Machine Learning Engineer

Swiss Re, Bratislava, Slovakia (Jan 2024 – Present)

  • Design and development of LLM-based projects with aim to automate operations processes
  • Contribution to a Life Guide Scout, company's GenAI flagship project
  • Project design and development using Python (PySpark, LangChain) and Azure

Research Assistant

Kempelen Institute of Intelligent Technologies (KInIT), Bratislava, Slovakia (Sep 2022 – Dec 2023 )

  • KInIT PhD program in partnership with Faculty of Information Technology BUT
  • Research area: Recommender systems
  • Collaboration with industrial partner (Luigi's Box)

Data Scientist

Swiss Re, Bratislava, Slovakia (Aug 2021 – Aug 2022)

  • Project participation in domains like model monitoring (MLOps), text processing (NLP), Geoinformatics
  • Project design and development with Python (PySpark, scikit-learn, Pandas)

Google DSC Core team

Google Developers, Žilina, Slovakia (Sep 2020 – Jun 2021)

  • Community group for university students
  • Designed and developed AI / ML services with Python (Django, OpenCV, TensorFlow)

Software Engineer

Quadrotech, Žilina, Slovakia (Jul 2020 – Sep 2020)

  • Summer internship
  • Designed and developed internal tools to facilitate development and testing process (C# / .NET, WPF)

Software Engineer

Datapac, Žilina, Slovakia (Aug 2019 – May 2020)

  • Maintained and developed unit / integration tests (xUnit)
  • Implemented new functionality for microservices (C# / .NET, REST)
  • Managed and maintained tools for CI / CD (Jenkins)

Ocenenia, certifikáty

Publication on RecSys'23 conference

  • Complementary Product Recommendation for Long-tail Products. In Proceedings of the 17th ACM Conference on Recommender Systems (RecSys '23). Association for Computing Machinery, New York, NY, USA, 1305–1311. https://doi.org/10.1145/3604915.3608864
  • During my PhD studies, I managed to publish a research article on the prestigious RecSys conference discussing Complementary Product Recommendation (CPR) topic and proposing a novel CPR approach.

EEML Machine Learning Summer School 2023

  • Attended Eastern European Machine Learning Summer School 2023 which took place at Košice, Slovakia.
  • Co-organized by Google DeepMind, EEML brings TOP world's talents in AI Research (DeepMind, NVIDIA, MIT, KAUST) to Eastern Europe.
  • Eastern European Machine Learning (EEML) summer school is a one-week summer school around core topics regarding machine learning and artificial intelligence.
  • https://www.eeml.eu/previous-editions/eeml2023

Stanford Online Statistical Learning Certification