Mikhail Knyazev
Belgrade, Central Serbia
Summary
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SeniorMikhail Knyazev is a Machine Learning Engineer with 11 years of experience building practical, production-ready ML and backend systems from news clustering and multi-label classifiers to rule-based entity linking. He blends a strong physics and applied mathematics background (MIPT) with hands-on software craftsmanship—clean code, reproducible experiments, and high test coverage are his trademarks. At Interfax he shipped scalable RESTful services, an online topic-tracking pipeline, and a fast adaptive diff algorithm for million-character texts; at Incode he continues to apply ML in production. Comfortable with both deep learning and pragmatic rule-based approaches, he values practicality over purity and often complements neural models with deterministic systems. Based in Belgrade, he also has experience building hardware-integrated GUIs and precision lab control systems, highlighting an unusual mix of experimental physics and software engineering.
11 years of coding experience
Stackoverflow
1,466reputation
184kreached
27answers
1question
pyqt
top-5%
python
top-5%
Github Skills (97)
gsm10
telegram-bot10
django9
ai9
python9
sms9
mlmodel9
evaluation9
scrum9
pyqt9
python-modules9
django-admin8
agile8
azerothcore8
mlflow8
Programming languages (7)
Github contributions (5)
9dogs/tg-odesli-bot
Sep 2019 - Jan 2023
Telegram Bot to share music with Odesli (former Songlink) service.
Contributions:26 releases, 15 reviews, 247 commits in 3 years 4 months
telegram-bot
9dogs/notion-anki-sync
Feb 2021 - Jul 2022
Sync Notion toggle lists to Anki cards.
Contributions:15 releases, 88 commits, 6 PRs in 1 year 5 months
anki
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