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TALENT-67178
Arseniy
Data Engineer
Georgia
Seniority
Senior
Language skills
English B2
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Skills
Industry
Professional Summary
Candidate is an experienced AI/ML Developer with over 5 years of expertise in building full-cycle machine learning systems and solving complex real-world ML problems. Proficient in all stages of AI project development, including data engineering, research, model training and evaluation, MLOps, and deployment. Specialized in LLMs, Retrieval-Augmented Generation (RAG), and multi-agent approaches. Industry experience spans social networks, sales, venture capital, pharmaceuticals, finance, cryptotrading, and oil & gas. Skilled in cutting-edge tools and frameworks, including Transformers, PyTorch, LangChain, Bayesian networks, and CI/CD pipelines, with additional proficiency in cloud platforms like AWS and GCP. Academic background includes an M.Sc. in Physics with a focus on quantum mechanics of atoms, molecules, and solids.
Video of Talent
Portfolio
Education
Saint Petersburg State University, PhD Student, Theoretical physics
Saint Petersburg State University, Master in Physics, Quantum mechanics of atoms, molecules and solids
Saint Petersburg State University, Bachelor in Physics, Quantum mechanics of atoms, molecules and solids
Certifications and Trainings
Experience
Professional development
Career Break
Aug 2024 - Present
Senior Data Engineer (RAG, LLM)
Industry: Technology and Information
Sep 2023 - Jul 2024
Developed a RAG system for generating sales intents from social network data.
Utilized LLMs to analyze funding round events, assisting founders in identifying introduction paths.
Developed and optimized an LLM/RAG system for a search engine.
Applied the RAG approach for semantic search of companies in investment data.
Senior Machine Learning Engineer
Industry: Software Development
Feb 2023 - Sep 2023
Invented machine learning models for market access in the pharmaceutical industry.
Developed PDF document analysis using NLP and BERT models.
Researched and created a data synthesis system using generative models and Bayesian networks for sparse tabular data.
Senior Data Scientist
Industry: Software Development
Nov 2022 - Jan 2023
Developed cryptocurrency trading bots and backtesting systems for them.
Created a message classification model for the customer support department.
Developed and deployed machine learning components for backtesting.
Lead Data Scientist / Team Leader / Manager
Industry: Insurance and Tax
May 2021 - Nov 2022
Processed a new batch of AI projects in the geology sector.
Developed deep learning and classical machine learning models for multivariate time series analysis and synthesis.
Designed and optimized software for a product powered by Bayesian networks.
Data Scientist, Lead Data Scientist
Industry: IT Services and IT Consulting
May 2018 - Apr 2021
Implemented full-cycle AI projects for industrial geology.
Trained models to detect productive intervals on multivariate time series data (GIS), validated through fluid extraction from real wells.
Developed algorithms for spatial modeling of layered structures predicted from multivariate time series sparse data.
Created dashboards, well logs, and spatial data visualizations.
Built full-cycle ML systems, including data storage, data/feature pipelines, training, evaluation, and MLOps.
Algorithm Developer
Industry: Consumer Electronics
Aug 2016 - Apr 2018
Worked on algorithms for heart rate signal measurements and processing for a smart bracelet that tracked human signals such as heart rate, sleep quality, and calories.
Developed and deployed DSP algorithms for heart rate measurement using a custom sensor.
Created an algorithm for heart rate measurement during running, utilizing multi-sensor methods and active noise cancellation.
Produced algorithms for calculating heart rate variability (interval between heartbeats).
Programmed and designed software for visualizing algorithms and features from signals streamed from devices online.
Postgraduate / Researcher in Atomic Physics
Industry: Education
Sep 2013 - Jul 2016
Researched atomic quantum mechanics and g-factor theory after completing a master's degree.
Conducted numerical programming and calculations in Fortran, focusing on higher-order Feynman diagrams and large matrices, where optimization was critical.
Presented research at 10 international conferences and contributed to academic publications.
