Володимир

Volodymyr Volkov
AI Engineer & Vibe-Coder | Prompt Engineering Specialist | Product
Developer
📍 Kyiv region, Ukraine | Remote Worldwide 📞 [відкрити контакти](див. вище в блоці «контактна інформація») ✉️ [відкрити контакти](див. вище в блоці «контактна інформація»)
🔗 LinkedIn Profile

PROFESSIONAL SUMMARY
Innovative AI Engineer and Vibe-Coder with a strong foundation in quantitative finance. Specialized in
leveraging LLMs, agentic workflows, and advanced prompt engineering to rapidly architect, build, and deploy
complex software products. Successfully applied "vibe-coding" methodologies to single-handedly develop and
launch public financial analytics platforms, MarketOdds.ai and TradeSeasonals.com.
Combines 18+ years of deep financial market expertise with modern AI-assisted development paradigms
(Cursor IDE, Claude LLM Models, OpenAI LLM Models). Highly skilled in translating complex domain logic into
production-ready code through natural language orchestration, drastically reducing time-to-market and
demonstrating the power of autonomous AI agents in full-stack development.

CORE COMPETENCIES
AI & Vibe-Coding: Prompt Engineering, Agentic Workflows, Natural Language to Code orchestration, AI-
Assisted Architecture, Rapid Prototyping, LLM Integration (Claude, OpenAI).
Software Engineering: Python, Pandas, API Integration, Web Development, Automation Scripts, Data Pipelines,
Cursor IDE.
Domain Expertise: Quantitative Finance, Algorithmic Trading, Probability-based Market Modeling, Statistical
Arbitrage, High-frequency Data Analysis.

KEY AI-DRIVEN PROJECTS

MarketOdds.ai & TradeSeasonals.com | Co-Founder & AI Lead Developer
Architected and built two public financial analytics platforms from scratch using AI-assisted "vibe-
coding" techniques.
Utilized advanced prompt engineering and autonomous AI agents to accelerate full-stack
development, seamlessly bridging complex data pipelines with frontend UI.
Designed robust prompt architectures to translate quantitative trading logic, seasonality algorithms,
and probability scoring systems into production Python code.
Demonstrated extreme development velocity by leveraging LLMs as collaborative coding partners,
reducing the product lifecycle from months to weeks.

Autonomous Financial Research Agents
Designed and deployed autonomous AI agents for financial research, data processing, and business
automation.
Created custom workflows integrating Python, APIs, and LLMs to automate quantitative research,
including parsing historical market data and generating actionable insights.
Engineered strict prompt constraints to ensure reliable, hallucination-free outputs from LLMs in critical
analytical tasks.

PROFESSIONAL EXPERIENCE
AI Engineering and Automation Specialist | Independent Researcher January 2025 – Present
Develop AI assistants and research workflows using modern LLM technologies.
Use Cursor IDE and AI-assisted development tools for rapid prototyping of financial analytics products.
Integrate AI tools into financial data analysis pipelines and analytical workflows.
Design automation solutions for market research, data processing, and decision-support processes.

Quantitative Research Consultant | Self-Employed April 2022 – Present
Develop systematic trading strategies for US equity and options markets, serving as the domain foundation
for subsequent AI automation projects.
Manage the full strategy development cycle: idea generation, quantitative research, data preparation,
backtesting, and live implementation.
Perform statistical analysis of financial time series using Python.

Domain Expertise: Trading & Portfolio Management | Various Financial Institutions 2006 – 2022
Execution Trader / Asset Manager @ IFC Concorde Capital (2021-2022): Executed trades on European
and US markets; developed pairs trading and futures spread strategies using Python and Pandas.
Head of Traders Department @ IFC Art Capital (2010-2021): Managed trading operations, developed
medium/long-term futures spread strategies, and led educational programs for traders.
Earlier Roles (2006-2010): Equity and Futures Trader at KVBB Asset Management, iTrader, and Galt &
Taggart Securities.

EDUCATION ADDITIONAL INFORMATION
Master of Financial Markets Languages: Ukrainian (Fluent), Russian (Fluent),
UIRFR KNEU (2005) English (Intermediate)
Specialist Degree in Enterprise Economics AI & Dev Tools: Cursor IDE, Claude LLM Models,
Chernihiv State Technological University (2002) OpenAI LLM Models, GitHub, Jupyter
Additional Training: Python for Data Analytics and Trading Platforms: Interactive Brokers TWS,
Data Science; Python for Time Series Analysis in Thinkorswim, Bloomberg, SeasonAlgo
Stock and Futures Markets.