I build structured AI systems focused on intelligent agents, modular design, and real-world automation.

My work centers around building reusable execution frameworks, financial AI assistants, and retrieval-driven systems that scale beyond experiments.

• Finance Agent — AI-powered financial assistant with tool orchestration
• Agent Engine — Planner → Validator → Executor architecture
• RAG Systems — Embedding → Retrieval → Controlled Generation pipelines
• LangChain — Framework-driven agent experimentation
• Clean, modular Python system design

AI-driven financial assistant built on a custom agent framework.

• Modular tool execution layer
• Structured output validation
• Designed for portfolio analytics & automation
• Future-ready for RAG integration

Core execution framework powering intelligent agents.

• Tool-calling architecture
• Planner → Validator → Executor workflow
• Structured response control
• Extensible for multi-agent systems

Structured financial tracking system.

• Class-based transaction modeling
• CSV / PDF / JSON export engine
• Aggregated monthly & filtered analytics
• Refactored for scalability

Operational system with analytics & reporting.

• 40+ structured menu items
• Categorized ID architecture
• Admin dashboard with daily/monthly insights
• Designed for inventory expansion

• Python
• Git & GitHub

• LangChain
• NumPy
• Pandas
• Matplotlib
• scikit-learn (Foundations)

• Modular Design
• Tool Abstraction
• Structured Output Validation
• Data Modeling

• Build production-ready AI agents
• Implement full RAG pipelines
• Deploy intelligent financial automation systems
• Contribute to AI tooling ecosystems