Lev Konstantinovskiy

Berlin, Germany

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Summary

🤩

Rockstar

🎓

Top School

Lev Konstantinovskiy is a builder-leader with 12 years of experience turning zero-to-one prototypes into reliable, revenue-moving AI products, currently scaling Synthflow AI’s remote engineering org and shipping real-time voice AI for enterprise. He blends product velocity, pragmatic org design and hands-on engineering—leading hiring from 2 to 30, instituting SLO-driven observability and DORA-style release practices while still shipping golang/python telemetry, ASR/LLM/TTS finetuning and telephony integrations. Previously he led cross-functional teams at Explosion (Spacy/Prodigy) and ran data science teams at Shell and startups, translating messy customer requirements into concrete roadmaps and measurable wins. An active open-source maintainer and contributor, he has history improving widely used Python projects like gensim and smart_open, bringing production-grade fixes to topic models and large-file streaming. He speaks regularly at PyCon DE and PyData Berlin and combines rigorous academic maths training with a proven track record of turning research-level ML into operational, enterprise-grade systems. Notably, he focuses on evaluations and automated real-use datasets to ensure agents follow policy and deliver human-feeling voice interactions at scale.

12 years of coding experience

14 years of employment as a software developer

Data Science Bootcamp, Data Science Bootcamp at Galvanize

MMath, Mathematics, MMath, Mathematics at University of St Andrews

Ort Moscow Technology School

Specialist, Applied Mathematics, Specialist, Applied Mathematics at Moscow Institute of Electronics and Mathematics (Technical University)

University of Georgia

English, Russian

Github Skills (19)

gensim10

sqlite10

python10

hdfs10

webhdfs10

data-storage10

amazon-s310

natural-language-processing10

aws-s310

topic-modeling10

nlp10

s3-bucket10

boto9

streaming8

bz28

Programming languages (9)

JavaC++CBatchfileTeXHTMLJupyter NotebookPython

Github contributions (5)

piskvorky/gensim

Sep 2015 - May 2017

Topic Modelling for Humans

Role in this project:

Data Scientist

Contributions:18 releases, 338 commits, 459 PRs in 1 year 8 months

Contributions summary:Lev contributed to the Gensim library by addressing issues in the LDA model, specifically fixing the initialization of the `expElogbeta` variable. They also made updates to the `ldamodel.py` file. Furthermore, they integrated contributions from another branch related to summarization optimizations. These changes suggest a focus on improving the functionality and possibly the performance of topic modeling algorithms within the Gensim library.

pythonword-similarityword-embeddingsdata-miningfor-humans

piskvorky/sqlitedict

Oct 2015 - Feb 2017

Persistent dict, backed by sqlite3 and pickle, multithread-safe.

Role in this project:

Back-end Developer

Contributions:3 releases, 25 commits, 16 PRs in 1 year 4 months

Contributions summary:Lev primarily focused on enhancing the `sqlitedict` library's functionality. Their contributions involved implementing a read-only mode, adding a changelog, and fixing a potential error in the `close` method. They also bumped up the version to 1.5.0 and provided updates to the README.rst, including improvements in the documentation.

pythonpicklerustdata-storemulti-threading

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