Full-Stack Developer: Solar Financial Web App

Project Overview

I am a 20-year solar industry veteran looking to convert a proprietary, CFO-vetted financial model (currently in Excel) into a secure, scalable web application.

The goal is to create a professional platform for co-investors and subcontractors to evaluate project viability without exposing the underlying logic and formulas.

Core Functionalities

Formula Migration:

Translate complex Excel financial logic into a secure backend (Python or ) to protect IP.

API Integration:

Integrate NREL's PVWatts API to pull generic kWh yield data based on project coordinates and system parameters.

AI-Driven Analysis:

Module-Specific Yield:

Implement a feature to upload module data sheets where Gemini AI (or similar LLM) parses the data to provide specific yield projections.

Backtesting:

Develop a module to backtest projected results against historical data using AI/Machine Learning.

User Management:

Secure Authentication (Sign-up/Login) with role-based access for different stakeholders.

UI/UX:

A clean, professional dashboard that rivals industry standards like Aurora or Helioscope.

Technical Requirements

Frontend:

React, Vue, or similar modern framework.

Backend:

Python (preferred for AI/Data handling) or

Database:

PostgreSQL or MongoDB.

AI/ML:

Experience with Google Gemini API and data extraction.

Security:

Strong understanding of how to shield proprietary logic from the frontend.

Project Architecture Flow

How to Apply

Please provide examples of previous "Excel-to-Web" migrations or solar-specific software you have built.

Note:

To ensure you have read the full description, please start your cover letter with the keyword "Coconut". Applications without this keyword will be automatically declined.

Contract duration of 3 to 6 months.

Mandatory skills:

Web Development, Web Application, Web Design, Python, Generative AI, Gemini, Data Visualization Framework, , PostgreSQL, MongoDB, API Integration, RESTful API, React