My Experiences

• Feb 2024 - Present LLM/NLP Team Lead

  Leading the LLM/NLP direction end-to-end: from concept to production.

  • Multi-agent platforms: LangGraph/A2A Bridge architecture, state machines, agent roles, escalation policies, observability.
  • Enterprise RAG: bots integrated with ERP/ECM/HelpDesk, guardrails, quality evaluation, production monitoring.
  EuroChem
  Full-time · 2 yrs 11 mos · Remote
  Role: LLM/NLP Team Lead
  Period: Feb 2024 - Present · 2 yrs 1 mo

• Apr 2023 - Feb 2024 Senior Data Scientist

  Built the "Digital Advisor for Urea Production" (state registration No. 2024685159) to stabilize and optimize urea workshop operations using ML.

  • Operational impact: stabilized synthesis mode and increased specific output by 1.5%.
  • Real-time optimization: forecasting and control of key parameters to improve output and reduce ammonia consumption.
  EuroChem
  Full-time · 11 mos · Moscow, Russia
  Role: Senior Data Scientist
  Period: Apr 2023 - Feb 2024

• Jul 2021 - Apr 2023 Senior Data Scientist

  Designed the nGENE intelligent platform for personalized nutrition based on genomic and gene-expression data.

  • Platform: Django, Docker, PostgreSQL, Redis, Traefik, Celery, Flower.
  • ML stack: PyTorch, TensorFlow, Keras.
  NutriTech (nGENE.io)
  Contract · 1 yr 10 mos · Israel · Hybrid
  Role: Senior Data Scientist
  Period: Jul 2021 - Apr 2023

• Jun 2020 - Dec 2022 Senior Data Scientist

  Led data initiatives for investment analytics in a fully remote setup.

  • Data continuity: planned and delivered large-scale data migration with uninterrupted analytics operations.
  • Forecasting: built a classification model combining technical, fundamental, and semantic signals for price trend prediction.
  Manitorium
  Full-time · 2 yrs 7 mos · Israel · Remote
  Role: Senior Data Scientist
  Period: Jun 2020 - Dec 2022

• Oct 2017 - Jun 2020 Data Scientist

  Developed ML solutions for capital management and algorithmic decision-making.

  • Trading systems: created 100+ trading strategies based on technical and fundamental analysis.
  • Performance: achieved 17% better stock-price forecasting accuracy and 14% return uplift versus historical baseline.
  ForceAI
  2 yrs 9 mos · United States
  Role: Data Scientist
  Period: Oct 2017 - Jun 2020

• May 2016 - Oct 2017 Junior Data Scientist

  Optimized call-center operations using data science methods.

  • Cost optimization: reduced call-center costs by 8% through operator scheduling optimization.
  • Operational analytics: used statistical analysis and ML to allocate resources more effectively.
  ARC Europe
  1 yr 6 mos
  Role: Junior Data Scientist
  Period: May 2016 - Oct 2017

Core Skills

• Leadership & Delivery

  • Team leadership, mentoring, hiring, and performance management.
  • Roadmapping, stakeholder alignment, and cross-functional delivery.

• LLM/NLP & GenAI

  • Production-grade LLM applications for enterprise use cases.
  • Prompt design, evaluation loops, and safety/guardrails.

• RAG, Search & Recommendations

  • RAG architectures, retrieval quality metrics, and monitoring.
  • Vector search with Milvus and recommendation systems.

• MLOps & Platform Engineering

  • Microservices, CI/CD, Docker, Kubernetes, and observability.
  • Model/data versioning, feature stores, and production monitoring.

• Architecture & Integrations

  • BPMN-to-pipeline orchestration and event-driven architecture.
  • Deep integrations with ERP, ECM, Jira, Service Desk, and CRM.

• Core Stack

  • Python, SQL, FastAPI, LangGraph, PyTorch, TensorFlow.
  • PostgreSQL, Redis, Milvus, Airflow, Celery, Prometheus/Grafana.

My Education

• 1999 - 2004 Finance and Credit

  Novosibirsk State University of Economics and Management (NSUEM)

  Finance and Credit, Diploma with honours

• 2017 Machine Learning Specialization

  Stanford University (Online)

  Completed advanced machine learning coursework focused on core algorithms, model evaluation, and practical implementation.