
Maksim Shmalts
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Maksim Shmalts
- 2023 - 2024
Working Student for LLMs
IAV GmbH
• Implemented and integrated a tool for evaluation of LLMs and RAG pipelines (Python, LangChain, Ragas, OpenAI) • Currently, connecting OpenAI function calling to our internal on-premise models (Python, TGI, LangChain)
- 2022 - 2024
Tutor / HiWi
Karl Eberhards Universität Tübingen
• Held tutorials and contributed into evaluating assignments and projects for the courses "String Algorithms" (WiSe22/23), "Python for Beginners" (WiSe22/23), "Statistical Language Processing II" (SoSe23), "Reinforcement Learning for LLMs" (SoSe24) • Created Finite-States Transducers for measuring distance between German dialects for the course "String Algorithms" (Python, pynini)
- 2021 - 2023
Data Scientist / NLP Engineer
MKSKOM
• Implemented backend for a custom Llama-2-based RAG Engine for a large customer (Python, LangChain, Llama.cpp, HF Transformers) • Increased the number of responses from potential customers on a freelance platform by 5 times by independently designing and implementing an LLM-based automation tool (Python, LangChain, OpenAI) • Implemented tools for NLP, Time Series Prediction, Optimization Modeling, Data Analysis (Python, PyTorch, spaCy, scikit-learn, statsmodels, Pandas, NumPy, streamlit)
- 2021 - 2022
Course Instructor (Linguistics for Olympiades)
Lomonosov Moscow State University Gymnasium
• Held lectures, prepared and evaluated assignments for the Course "Linguistics for Olympiads"
- 2021 - 2022
Assessor
Yandex
• Evaluated search engine results on IT-themed queries, evaluated machine translations
Ausbildung von Maksim Shmalts
- 2022 - 2024
Computational Linguistics
Karl Eberhards Universität Tübingen
• 2024 (in progress) Bachelor thesis on applying LLMs to solving non-trivial linguistic tasks (on the example of splitting German compounds (Python, LangChain, PyTorch, HF transformers, spaCy) • 2024 Group project on investigating influence of RL fine-tuning data on biasing LLMs (Python, HF transformers) • 2023 Participated at the SemEval 2023 and published a paper at the ACL Anthology (Python, HF transformers)
- 2019 - 2022
Theoretical and Applied Linguistics
Lomonosov Moscow State University
• 2022 Personal project DERBI: a tool for automatic inflection of German words (Python) • 2022 Conference diploma for DERBI at Lomonosov-2022 (Moscow), Science Sessions-2022 (Kaliningrad), XXII International Conference of Young Slavists (Tallinn) • 2021 Term paper on predicting ablaut class of German strong verbs (Python, PyTorch)
- 2017 - 2019
History and Philology
Lomonosov Moscow State University Gymnasium
• 2019 Prize-winner of All-Russian Olympiad for Linguistics (gives no-exam admission to the university of choice) • 2019 Graduation with a Gold Medal
Sprachen
Englisch
Fließend
Deutsch
Gut
Russisch
Muttersprache
Spanisch
Grundlagen
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