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Ivan (Ion) Budanaev

Lead ML Engineer @ Helium 10 | PhD
Helium 10 · Bucharest, Romania · engineer
Now: Applied machine learning (Lead ML Engineer at Helium 10); research collaborations on augmented-reality STEM education
Represented Republic Of Moldova At IMO 2003 (Tokyo) With An Honourable MentionPhD Mathematician (Tiraspol State University / Institute Of Mathematics And Computer Science)Published Research On Distances On Monoids Of Strings With Mitrofan ChobanLead ML Engineer / Data Scientist At Helium 10Speaker In The Python Moldova Community

Moldovan mathematician and data scientist. Represented the Republic of Moldova at the 44th International Mathematical Olympiad (Tokyo, 2003), earning an Honourable Mention (rank 231, 49.7%, 11 points), and also competed at IMO 2002 in Glasgow. He is a PhD-holding researcher in mathematics (Institute of Mathematics and Computer Science, Academy of Sciences of Moldova; Tiraspol State University) who later moved into industry as a data scientist / ML engineer, currently Lead ML Engineer at Helium 10.

A data scientist with over 6 years of experience in applying mathematical and statistical methods to real-world problems; PhD in mathematics; formerly a researcher at the Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova.

LinkedIn followers1K
Details
LocationBucharest, Romania
Company sitehelium10.com
LanguagesEnglish, Russian, Turkish, Romanian
UniversityTiraspol State University (Universitatea de Stat din Tiraspol)
Data ScienceMachine LearningSQLPythonApache SparkDeep LearningFunctional Programming (Scala)MathematicsResearchC++String algorithmsExtended/Augmented Reality in education
Notes
  • Represented the Republic of Moldova at the 44th International Mathematical Olympiad (Tokyo, 2003), scoring 11 points (rank 231, 49.7%) for an Honourable Mention; also competed at IMO 2002 in Glasgow (8 points). This is the core claim of the task and is confirmed by the official IMO results.Jul 2003
  • Represented the Republic of Moldova at the 44th International Mathematical Olympiad (Tokyo, 2003), scoring 11 points (rank 231, 49.7%) for an Honourable Mention; also competed at IMO 2002 in Glasgow (8 points). Confirmed by the official IMO results.Jul 2003
  • Authored a PhD thesis in Mathematics (specialty 111.03, Mathematical logic, Algebra and Number theory) under advisor Mitrofan Cioban/Choban, defended at the Academy of Sciences of Moldova; the thesis is archived at CNAA (2019).2019
  • Public email [contact omitted] is published in the CSJM v.26 contact block, alongside affiliation to the Doctoral School of Mathematics and Information Science at Tiraspol State University — a direct route to reach him.2018
  • Co-authored 2026 papers on augmented-reality models and cognitive load in STEM education (with Tatiana Veverița, Mihail Terenti, Andrei Braicov), showing a shift of research focus into XR/education technology.2026
  • Named a World Federation of Scientists Scholar for 2017-2018 for the project 'Distances on abstract algebraic structures and their applications' at the Institute of Mathematics and Computer Science, indicating he remained an active research mathematician in Moldova well into the 2010s.2018
  • Named a World Federation of Scientists Scholar for 2017-2018 for the project 'Distances on abstract algebraic structures and their applications' at the Institute of Mathematics and Computer Science.2018
  • LinkedIn headline 'Lead ML Engineer @ Helium 10 | PhD' with 1,033 followers and 500 connections; location Bucharest, working for Helium 10 while a prior role was in Chișinău — a Moldova-to-Romania move into industry.2026
  • Listed in the Python Moldova community as 'ivan.budanaev - Data Scientist at Helium 10 - speaker', confirming the same person bridges the Moldovan academic mathematics community and the local Python/data-science scene.2023
  • Publishes with M.M. Choban on 'distances on abstract algebraic structures' (MFOI 2018 proceedings), confirming the academic mathematics identity of the IMO contestant.2018
  • Published two CSJM papers with Mitrofan Choban extending the Markov-Graev method to invariant distances on free monoids of strings — connecting string-edit distances (Levenshtein/Hamming) to quasimetrics, work that bridges his pure-math training and later data/ML career.2016

Competition record

Republic of Moldova · IMO

2003 · Honourable mention · Rank 231