AI Engineer & Data Scientist specializing in Generative AI, Large Language Models, and end-to-end ML/LLM solutions.

With over 3 years of hands-on experience and a Master’s in Engineering from Bauman Moscow State Technical University, I build robust AI-driven products that translate complex data into actionable insights. As a "Digital Breakthrough 2022" ML/DL Championship winner, I thrive at the intersection of research and production, delivering scalable solutions for real-world challenges.

• 🔭 Currently: AI Engineer @ IBM, Tel Aviv
• 🌟 Achievements: Winner, "Digital Breakthrough 2022"
• 🌐 Languages: English (Professional), Russian (Native), Hebrew (Basic)

Programming & Scripting: Python · SQL · Bash

Machine Learning & AI: NumPy · Pandas · Scikit‑learn · TensorFlow · PyTorch · SpaCy · MLflow

LLM & NLP: Hugging Face · OpenAI · Transformers · LangChain · LlamaIndex · RAG systems

Computer Vision & CV Pipelines: YOLOv5 · Faster R‑CNN · ResNet · Detectron2 · UNet · OCR

Databases & Storage: PostgreSQL · Elasticsearch · Milvus · Vector Databases

DevOps & Deployment: Docker · Git · Flask · Streamlit · Angular · GCP · IBM watsonx

• Built a Telegram bot leveraging OpenAI’s GPT‑3 for human‑like dialogues and summary generation.
• Integrated multi-user chat history and seamless API interactions.

• Engineered Retrieval‑Augmented Generation pipelines over unstructured (PDF, DOCX, PPTX) and structured sources.
• Deployed vector‑database solutions with non‑English support, A/B testing, drift detection, and monitoring.

• Developed a Flask + PostgreSQL system with real‑time video streaming.
• Trained YOLOv5 and ResNet models for license plate recognition and vehicle classification.

• Fine‑tuned EfficientNet B4 to detect drones in satellite imagery (95% accuracy, top 10 finish).
• Implemented UNet segmentation for building area analysis.

IBM · AI Engineer · Tel Aviv, Israel · Sep 2023 – Present

• Orchestrated LLM‐agent assistants for non‑technical users (database lookups, task automation).
• Designed OCR pipelines for financial‑document insights and automated KYC workflows.
• Launched Angular‑based AI prototyping assistant for dynamic UI generation.

Mnogo Apps · Data Scientist · Moscow, Russia · Aug 2022 – Aug 2023

• Built CatBoost and collaborative‑filtering models (94% accuracy) for adaptive question recommendation.
• Conducted time‑series trend analysis (VARIMA) and cohort studies; managed Grafana/Tableau dashboards.

Elbrus Bootcamp · Data Scientist · Moscow, Russia · Apr 2022 – Aug 2022

• Designed computer vision pipelines with YOLO/Faster R‑CNN and segmentation networks (mAP 0.83).
• Developed GPT‑3 Telegram bot with persistent chat history and human‑like UX.

Boeing Russia · Engineer & Data Analyst · Moscow, Russia · Jun 2019 – Apr 2022

• Analyzed engineering‐team performance; predicted labor times with regression models.
• Identified recurring errors, driving QA improvements and stakeholder insights.

• M.S., Engineering · Bauman Moscow State Technical University · 2013–2019
• IBM watsonx Foundations, Global Sales School, Telegram Bots on Python, and more.

"Transforming data into decisions, one model at a time."