Introduction
My research centers on the development of Agentic AI and data-driven analytical tools to solve complex problems across finance, industry, and daily management. By leveraging modern AI models, I create solutions that transform raw data into actionable intelligence and functional user experiences. I use AI tools such as Google Antigravity IDE, Claude Code and NotebookLM.
Core Competencies
- Agentic AI Development: Expertise in designing autonomous AI agents that perform end-to-end tasks, from data processing to web-app deployment (e.g., BiotechAnalyzer App).
- Financial & Market Analysis: Quantitative analysis focused on high-probability trading strategies, risk assessments, and industry-wide economic forecasting (e.g., Biotech Value Strategies, Pfizer (PFE) Alert).
- Systems Integration & Automation: Building holistic, user-focused platforms that synthesize disparate data sources—such as weather, news, and logistics—into centralized dashboards (e.g., Orbit – The Global Sync).
- Operational Optimization: Developing smart tools that optimize supply chain, kitchen management, and resource allocation to improve efficiency and reduce waste (e.g., GroceryBuddy).
Select Research Highlights
- Biotech Innovation: Investigated the strategic potential of mRNA technology and the lifecycle of clinical-stage stocks through the lens of the “Fundamental Floor” thesis.
- Strategic Industrial Analysis: Conducted deep-dive assessments of the US trucking industry and explored the lifecycle of intellectual property through the lens of reviving Expired Patents.
- Technical Engineering Applications: Analyzed the transformative impact of AI in Mechanical Engineering, bridging the gap between theoretical AI models and industrial manufacturing.