Designed and implemented an AI recommender system for precise company valuation based on financial data, market trends, and NLP-based analysis of company documents. Used knowledge graphs and ML models for comparables analysis.

• Researched and implemented automated AI trading strategies leveraging financial signals, company analysis, and market data.
• Designed models for predicting optimal entry/exit points using deep learning, integrating with live trading APIs (e.g., Interactive Brokers) and PostgreSQL for data management in simulated trading environments.
• This system enhances decision-making by identifying comparables, assessing market trends, and evaluating company growth potential for both valuation and trading contexts.