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Bartosz Dzionek

Machine Learning Engineer

Warsaw, Mazowieckie, Poland2 yrs 10 mos experience
AI ML PractitionerHighly Stable

Key Highlights

  • Launched a state-of-the-art re-ranking model at Google.
  • Improved FAQ search functionality for Fortune 500 companies.
  • Delivered guest lectures to AI master's students.
Stackforce AI infers this person is a Machine Learning Engineer specializing in SaaS solutions for enterprise applications.

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Skills

Core Skills

Machine LearningArtificial Intelligence (ai)TeachingSoftware Development

Other Skills

PythonData StructuresSQLXMLR (Programming Language)Operating SystemsSearchLarge Language Models (LLM)C++TestingAccessibilityAnalyticsKotlinData EngineeringNatural Language Processing (NLP)

About

I am a Machine Learning Engineer working on agentic products in Google Cloud. I specialize in developing ranking models for agentic search. My work allows LLMs to have infinite context length tailored to enterprise needs through products like Gemini Enterprise and Vertex AI Search.

Experience

2 yrs 10 mos
Total Experience
2 yrs 10 mos
Average Tenure
2 yrs 10 mos
Current Experience

Google

2 roles

Machine Learning Engineer

Aug 2023Present · 2 yrs 10 mos · Warsaw, Mazowieckie, Poland · On-site

  • Launched SOTA re-ranking model with 3% better NDCG@5 on BEIR and 2 times lower latency than leading competitor.
  • Created training infrastructure for buidling diverse training sets with Bayesian sampling on petabytes of data.
  • Improved FAQ search of Dialogflow by 15% F1 score. Solved issues for many Fortune 500 companies.
  • Delivered a guest lecture on ”Search and LLMs at Enterprise Scale” to 50 AI master’s students.
  • Recognized in the top 5% of the Warsaw office community contributors.
Machine LearningPythonArtificial Intelligence (AI)

Software Engineer Intern

Jun 2022Sep 2022 · 3 mos · Munich, Bavaria, Germany

  • Created a cross-reference graph for Android XML activities along with a view hierarchy.
  • My work enables detailed tracking of Android applications including measuring Material Design adoption for 1P apps.
SQLXMLSoftware Development

The university of edinburgh

Teaching Assistant

Sep 2022Mar 2023 · 6 mos · Edinburgh, Scotland, United Kingdom

  • Tutored a second-year Informatics course "Introduction to Algorithms and Data Structures" in both semesters of 2022/2023.
  • Taught a total of 40 students in two groups.
Data StructuresTeaching

Imperial college london

Research Intern

Jun 2021Aug 2021 · 2 mos · London, England, United Kingdom

  • Created a web application that uses deep learning to classify species in
  • photos. It can also display statistics about camera-trap surveys.
  • Achieved 99% test F1 score in badger detection.
  • I took part it numerous camera-trap research seminars. My work was
  • summarized in an academic report.
  • Supervised by Dr Marcus Rowcliffe.
Machine LearningR (Programming Language)

Education

The University of Edinburgh

Bachelor of Science - BS — Artificial Intelligence

Sep 2019May 2023

ETH Zürich

Exchange Student — Data Science

Sep 2021Sep 2022

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