Senior Data Engineer

• Sep 2023 - Present

Machine Learning Engineer

• Feb 2023 - Sep 2023

AI MedTech startup with a focus on medical business processes. [𝗧𝗲𝘅𝘁 𝗺𝗶𝗻𝗶𝗻𝗴] Topic modeling and interpretation of discussion scripts [𝗗𝗮𝘁𝗮 𝘀𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘀] Development of a data synthesis ML model and synthesis metrics [𝗘𝗧𝗟] I developed a data processing process for heterogeneous data AI MedTech startup with a focus on medical business processes. [𝗧𝗲𝘅𝘁 𝗺𝗶𝗻𝗶𝗻𝗴] Topic modeling and interpretation of discussion scripts [𝗗𝗮𝘁𝗮 𝘀𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘀] Development of a data synthesis ML model and synthesis metrics [𝗘𝗧𝗟] I developed a data processing process for heterogeneous data

Data Scientist

• Nov 2022 - Jan 2023

Fintech company developing trading ecosystem. [𝗔𝗣𝗜 𝘁𝗼 𝗔𝗪𝗦 𝗦𝟯] I developed an API for AWS S3 data storage [𝗠𝗲𝘁𝗮𝗯𝗮𝘀𝗲 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀] I created Metabase dashboards [𝗡𝗟𝗣 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻] I applied NLP model to the task of support messages classification Fintech company developing trading ecosystem. [𝗔𝗣𝗜 𝘁𝗼 𝗔𝗪𝗦 𝗦𝟯] I developed an API for AWS S3 data storage [𝗠𝗲𝘁𝗮𝗯𝗮𝘀𝗲 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀] I created Metabase dashboards [𝗡𝗟𝗣 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻] I applied NLP model to the task of support messages classification

Lead Data Scientist / Team Leader / Manager

• May 2022 - Oct 2022

(Ex-PWC unit after rebranding) [𝗖𝗹𝗼𝘂𝗱 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻] I managed the service development which controls computations between locals and the cloud and significantly reduced GPU computation costs. [𝗗𝗮𝘁𝗮 𝘀𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘀] I managed and developed the project for Well Logs synthesis with deep learning models. [𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻] I developed a web application with a Bayesian network inside. Challenging due to technical constraints. (Ex-PWC unit after rebranding) [𝗖𝗹𝗼𝘂𝗱 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻] I managed the service development which controls computations between locals and the cloud and significantly reduced GPU computation costs. [𝗗𝗮𝘁𝗮 𝘀𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘀] I managed and developed the project for Well Logs synthesis with deep learning models. [𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻] I developed a web application with a Bayesian network inside. Challenging due to technical constraints.

Lead Data Science / Team Leader / Senior Associate

• May 2021 - Apr 2022

Develop AI solutions for the industry. Due to my good performance, I was promoted to the Manager Grade. [𝗠𝗟𝗢𝗽𝘀] Developed MLOps architecture for Deep Learning models for oil and gas data analysis. [𝗧𝗲𝗮𝗺 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁] I trained juniors and intern Data Scientists. [𝗛𝗶𝗿𝗶𝗻𝗴] I performed in two career days at universities (lectures, master classes), interviewed candidateds, and hired 2 cool juniors and an awesome intern. Develop AI solutions for the industry. Due to my good performance, I was promoted to the Manager Grade. [𝗠𝗟𝗢𝗽𝘀] Developed MLOps architecture for Deep Learning models for oil and gas data analysis. [𝗧𝗲𝗮𝗺 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁] I trained juniors and intern Data Scientists. [𝗛𝗶𝗿𝗶𝗻𝗴] I performed in two career days at universities (lectures, master classes), interviewed candidateds, and hired 2 cool juniors and an awesome intern.

Lead Data Scientist

• May 2020 - Apr 2021

• I carried out research on correlation of wells for spatial analysis and designed several models. Predictions were used by the client.• Extensive experiments with neural networks for geological data analysis.

Data Scientist

• May 2018 - May 2020

• Developed models for searching oil intervals with Deep Learning and Machine Learning models. Real oil was extracted in locations that models predicted.• I developed interactive dashboards for geological data, including GIS signals and layers visualizations and maps.• Developed model and experiments serving solutions (MLOps)

Research & Development (Signal Processing, Algorithms)

• Aug 2016 - Apr 2018

Wearable devices company. Algorithms development for various problems related to the measurement of cardiovascular system parameters (heart rate, heart rate variability, blood pressure, etc...) from optical and piezoelectric sensors. Wearable devices company. Algorithms development for various problems related to the measurement of cardiovascular system parameters (heart rate, heart rate variability, blood pressure, etc...) from optical and piezoelectric sensors.

Research Engineer

• Mar 2015 - Aug 2016

PhD student. Atomic physics, quantum mechanics, quantum electrodynamics. Scientific programming. (mixed Python, FORTRAN 200x (object-oriented); C/C++, Eclipse IDE, Linux) Achievements: - Framework for numerical calculations with many-body perturbation theory was created to increase efficiency. - Unofficial seminars related to programming for students and young scientists at my department were organized to increase programming skills - Participation in international conferences: 1) XX Conference on Fundamental Atomic Spectroscopy, Voronezh, Russia (Oral talk), 2013 2) The Workshop on Precision Physics and Fundamental Physical Constants, Pulkovo, St. Petersburg, Russia (Poster), 2013 3) International Conference on the Physics of Highly Charged Ions, San Carlos de Bariloche, Argentina (Oral talk), 2014 4) International Conference on Science and Technology for FAIR, Worms, Germany (Poster), 2014 5) Topical Workshop of the SPARC Collaboration, Worms, Germany (Poster), 2014 6) Seminar on Astrophysics, Clocks and Fundamental Constants, Bad Honnef, Germany (Poster), 2015 7) Fin Q workshop: International conference "Quantum Informatics and Applications", St. Petersburg, Russia (No report), 2013 - Publications Show less

Engineer

• Jan 2014 - Jan 2016

Scientific research in atomic physics supported by Helmholth-Rosatom grant (executor) Scientific research in atomic physics supported by Helmholth-Rosatom grant (executor)

C++ / Qt / PostgresQL Developer

• Nov 2013 - Jan 2016

• I developed PostgreSQL database and UI on C++/Qt4 which was successfully deployed for business on Linux. • I developed PostgreSQL database and UI on C++/Qt4 which was successfully deployed for business on Linux.