Help to develop tools and solutions for the Machine Learning team (Vision and NLP projects), conducts researches
for Vision projects using PyTorch
and FastAI
, and help production team to build, test, and deploy
microservices (written in Go
) in the cloud (Docker
, k8s
).
Write production-level code (Python
, C
, Go
) to integrate ML projects in Tadaweb’s core code and existing architecture.
Conducted R&D activities for startups and big companies (machine learning and big data), and applied research theories,
principles, and practical models to solve R&D problems on numerical and textual data (using Python
and many other
libraries like scikit-lean
, statsmodel
or pandas
).
Worked in parallel also on Django
and React-Native
projects for startups and big companies, and pushed in
production my own projects.
Teached SQL, NoSQL, probabilties/statistics and machine learning to Bachelor students.
Conducted R&D activities for startups and big companies (machine learning and big data), and applied research theories,
principles, and practical models to solve R&D problems on numerical data only (using Python
and many other
libraries like scikit-lean
, statsmodel
or pandas
).
Developed tools and made several software experiments to build a strong open protocol to measure
the energy consumption of Android devices and evaluate code smells impact on them.
First author of a research paper, submitted and accepted to SANER 2017