🏦 Personal Wealth Management LLM Orchestration (FinTech Prompt Engineering)

📌 Executive Summary

• This repository contains my first Prompt Engineering project, developed during my internship at ZeTheta Algorithm Private Limited.
• The project demonstrates the application of advanced prompt engineering methodologies to design a personal wealth management system that integrates
• multi-bank account aggregation (Mint) with automated investment advice (Betterment)

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🔎 Repository Scope

• This repository is a condensed, portfolio-style version of the full "Personal Wealth Management App (Mint + Betterment)" project. Its goal is to showcase the architecture, prompt methodology (FPF + Multi-Layer), and key artifacts in a concise manner.

• Contents: curated excerpts, examples, and essential specifications.

• Full Content: detailed documentation, full prompts, end-to-end traceability, tests, and results.

• To review the full project documentation, visit: [Full Documentation]

Notes:

• This repository does not include sensitive data or credentials.
• Some sections have been simplified for space, privacy, and pedagogical clarity.

🎯 Objectives

• Apply the Breakdown Problem Structure to decompose a FinTech system into manageable components.
• Implement the Financial Prompt Framework (FPF) and the Multilayer Prompt Strategy (MPF) to ensure compliance, scalability, and traceability.
• Deliver a complete and documented repository as a professional and educational reference.

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🧩 Methodology

The project follows a strict prompt architecture sequence

1. Meta Prompt
2. Financial Prompt Framework (FPF)
3. Multilayer Prompt Strategy (MPF)

Breakdown Problem Structure

• Step 1 – Architecture: secure design, APIs, DB schemas.
• Step 2 – Backend Logic: categorization engine, budget, investment algorithms.
• Step 3 – Frontend/UI: financial data visualization, mobile design.
• Step 4 – Integration/Security: MFA, encryption, fraud detection.

Multilayer Prompt Strategy

• Layer 1 – Strategic Prompts: Define architecture, schemas, APIs.
• Layer 2 – Development Prompts: Generate MPT, Categorization, Tax-Loss modules.
• Layer 3 – Refinement Prompts: Implement security, generate tests, configure deployment.

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📚 Documentation

• /docs/introduction.md
• /docs/breakdown_problem_structure.md
• /docs/multilayer_prompt_strategy.md

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🧪 Testing & Iterations

Validation and iterative improvements are documented in:

• /testing_validation
• /iterations

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💡 Example: Layer 1 - Strategic Architecture Prompt

This is an excerpt of the initial, high-leverage prompt used to define the project's foundation. It mandates strict technical constraints and verifiable output formats.

fintech_architecture_prompt = """
**ROLE:** Act as a Senior FinTech Architect, expert in building high-performance Robo-Advisory systems (Trading/ML) and strict regulatory compliance (PCI DSS, Zero Trust, OAuth 2.0).

**OBJECTIVE:** Design a complete, secure, and scalable Microservices architecture for a Personal Wealth Management application (Mint + Betterment).

## STRATEGIC REQUIREMENTS (FPF)
1. **Security/Availability Metric (SLA):** The architecture must guarantee **99.99% uptime** for the investment engine.
2. **Performance Metric (Latency):** The Expense Categorization Engine (ML) must process 95% of transactions in **less than 500 milliseconds**.
3. **Zero Trust Security:** Implement network segmentation, Hashicorp Vault/AWS Secrets Manager, and **AES-256** encryption for data at rest.

## TECHNICAL REQUIREMENTS AND OUTPUT
**Technologies:** Python (Backend/ML), Flask/Django, PostgreSQL, Redis, Plaid API.
**Output Format:** Document structured in Markdown (NO code).

The document must include:
1. Descriptive Microservices Architecture Diagram.
2. Key Database Schemas (User, Transaction, Recommendation), detailing hashing (Bcrypt) and encrypted fields (AES-256).
...
"""

📂 Repository Structure

📂 Prompt-Engineering-Project
┣ 📜 README.md
┣ 📂 docs
┃ ┣ 📜 introduction.md
┃ ┣ 📜 breakdown_problem_structure.md
┃ ┗ 📜 multilayer_prompt_strategy.md
┣ 📂 examples
┃ ┣ 📜 prompt_case1.md
┃ ┣ 📜 prompt_case2.md
┃ ┗ 📜 generated_outputs.md
┣ 📂 testing_validation
┃ ┣ 📜 test_plan.md
┃ ┣ 📜 validation_results.md
┃ ┗ 📜 unit_tests.py
┣ 📂 iterations
┃ ┣ 📜 v1_initial.md
┃ ┣ 📜 v2_refined.md
┃ ┗ 📜 scalability_notes.md
┗ 📂 assets
  ┗ 📜 diagrams.png
┣ 📜 CONTRIBUTING.md
┃ 📜 SECURITY.md
┃ 📜 CODE_OF_CONDUCT.md
┃ 📜 PULL_REQUEST_TEMPLATE.md