Legal Practice Lead | Corporate & Project Finance | Applied AI Automation
I am a legal and finance professional with 19+ years of experience in banking and corporate environments, specializing in corporate and project finance, syndicated lending, international transactions, and complex cross-border matters.
Alongside my legal career, I design and build applied AI systems for knowledge-intensive and business workflows.
My work sits at the intersection of:
- legal and financial expertise;
- AI automation and LLM applications;
- business process analysis;
- knowledge management;
- secure, production-oriented software delivery.
I approach both legal and technical projects in the same way: deconstruct the process, identify requirements, risks, decision points, and bottlenecks, and translate them into a structured, workable solution.
- AI assistants for internal knowledge and document workflows
- RAG systems for grounded answers based on domain-specific sources
- Business intake, triage, routing, and decision-support services
- Workflow automation and API integrations
- Telegram bots and internal business tools
- Full-stack MVPs with databases, audit trails, authentication, testing, and deployment
An end-to-end AI service for processing business requests, extracting structured facts, identifying the appropriate specialist route, generating customer responses, and preserving an audit trail.
Highlights: FastAPI, OpenAI Structured Outputs, deterministic decision logic, SQLAlchemy, SQLite, TypeScript frontend, automated tests.
A production-oriented full-stack order intake and analytics platform with secure administration, behavioral metrics, explainable request scoring, and automated deployment.
Highlights: FastAPI, PostgreSQL, Vite, TypeScript, JWT, Argon2id, Docker, Nginx, HTTPS, CI/CD, GitHub Actions.
A CRM system for managing clients, deals, and tasks, with a desktop interface and automated analytical reports in Google Sheets and Google Drive.
Highlights: FastAPI, SQLite, Tkinter, Docker Compose, OAuth 2.0, Google Drive API, Google Sheets API, automated tests.
A Telegram assistant for structured team discussions, session-based memory, grounded summaries, decisions, and action items.
Highlights: Haystack, Pinecone, RAG, aiogram 3, session management, semantic filtering, LLM pipelines.
A legal RAG assistant working with materials on independent guarantees, Russian civil law, URDG 758, and judicial practice.
Highlights: Python, OpenAI API, ChromaDB, SQLite caching, prompt engineering, RAGAS evaluation.
An MCP-style assistant for customer review monitoring, analytics, tool routing, and AI-generated response drafts.
Highlights: FastAPI, aiogram 3, SQLite, OpenAI API, JSON Schema, MCP-style architecture.
AI and knowledge systems
LLM APIs · Prompt Engineering · RAG · AI Agents · Structured Outputs · Vector Databases · Evaluation
Backend and data
Python · FastAPI · SQLAlchemy · REST API · PostgreSQL · SQLite · Pydantic
Interfaces and integrations
TypeScript · Vite · Telegram Bot API · Google Sheets API · Google Drive API
Infrastructure and delivery
Docker · Docker Compose · Nginx · GitHub Actions · CI/CD · Linux · HTTPS
I am particularly interested in applied AI solutions for:
- legal and financial workflows;
- internal business operations;
- document-heavy and knowledge-intensive processes;
- request classification and routing;
- decision support and explainable automation;
- secure integration of LLMs into real business systems.
- Building production-oriented AI automation for legal, financial, and internal business workflows
- Improving evaluation, observability, security, and human-in-the-loop controls for LLM systems
- Deepening practical skills in Python, backend architecture, RAG, AI agents, and workflow orchestration
- Developing personal applied AI projects alongside my legal career
This profile evolves with my projects: repositories, documentation, screenshots, demos, and deployment notes are updated as each solution matures.