Oliver-Matis Lill

A generalist software engineer with a decent mathematical background. Well versed in the design and analysis of algorithms and data structures. Have reasonable experience in and an interest to grow in the field of Machine Learning. Have also done decent work in the fields of Data Science and Big Data. I'm productive, able to learn fast, and perfectly good at both collaboration and self-managing. In terms of programming languages, I have the most experience with C++ and Python. Have also decent experience with SQL and have done non-trivial projects in Java and Javascript. I have good technical fundamentals, so I'm able to learn languages very fast.

Notes14

• Quant employment verification: CONFIRMED. Actual role exists: LinkedIn profile content lists 'Quantitative Developer' at Quadrature Capital Limited, London, dated 2017, with described duties (data-migration software, implementing/testing an optimization algorithm from a research paper). This role evidence is INDEX-ONLY (LinkedIn-derived enrichment), not independent primary-source confirmation. The employer classification IS primary-source confirmed: Quadrature Capital's own site describes a systematic trading firm building automated trading systems from quantitative research, and Wikipedia classifies it as a UK quantitative finance hedge fund. Identity is supported by cross-links: Codeforces handle oml1111 (Estonian contestant, IOI 2014 / IMO 2013) lists 'From Starship Technologies' and Tallinn, matching the LinkedIn employer/location. No student-program-only claim.
• Quadrature Capital independently classifies as a quantitative finance firm - its own site describes a systematic trading firm building automated trading systems from quantitative research, and Wikipedia calls it a UK quantitative hedge fund founded 2008 by ex-G-Research staff.
• Identity cross-check: Codeforces handle oml1111 (Oliver-Matis Lill, Tallinn, Estonia) states 'From Starship Technologies', matching the LinkedIn employer and location - the same person as the Estonian IOI/IMO contestant.
• Cross-source synthesis: the 2017 Quadrature Capital developer stint was a single short engagement between his Bachelor's graduation (2018 coursework) window and his later Tallinn software roles - it did not become a lasting finance career, and every subsequent logged role (Starship, Algoteka, Algorithmization) is software engineering, so the quant exposure appears isolated rather than a trajectory.
• Won a silver medal at IOI 2014 representing Estonia (ranked 82nd), per the Competitive Programming Hall of Fame timeline.
• Founded Algoteka OU (Tallinn, reg. 16555823, business start 17.08.2022) and is founder/board member/shareholder; date of birth 28.05.1995.
• Educated at the University of Tartu: Bachelor's in Computer Science (2014-2018) and an incomplete Master's in Theoretical Computer Science (2018-2020).
• Software engineer at Starship Technologies (Tallinn) 2021-2023, latterly in a 'Perception and Cognition' role programming machine-learning-based detectors for autonomous delivery robots.
• Cross-source synthesis: his current role at Algorithmization (from 2023) is described as 'Developed a system to integrate neural networks into a trading application' - another point where machine learning meets trading software, alongside the earlier Quadrature quant role, suggesting a recurring overlap between his engineering work and trading systems.
• Competed at the ACM-ICPC 2018 World Finals in Beijing with the University of Tartu team 'UT 1: Vertex Cover' (Andres Unt, Oliver Nisumaa, Oliver-Matis Lill); the UT CS department reports a 56th-place finish.
• Represented Estonia at the International Mathematical Olympiad 2013; the aggregated 2013 scoreboard records 11 points and a Diploma.
• Built Algoteka (algoteka.com), 'a universal and open code sample library' for submitting, exploring and comparing code samples across languages; his own profile there describes him as 'Former competitive programmer. Software engineer at Starship Technologies. Studied theoretical computer science. Created Algoteka.'