I am a Software Engineer and AI Researcher based in Lima, Peru. My passion lies in architecting scalable digital ecosystems and deploying Large Language Models (LLMs) to solve complex data challenges in the sustainability and finance sectors.
I specialize in Full-Stack development using React and Python, while heavily integrating RAG pipelines and Autonomous Agents to automate unstructured data analysis.
- SaaS Architecture: Leading the end-to-end engineering of the SeaBridgeAI™ platform, utilizing React and TypeScript to automate institutional client intake.
- AI Integration: Directing data cleaning strategies to fine-tune specialized ESG AI agents, creating golden datasets for GRESB performance components.
- Data Logic: Developing standardized calculation methodologies for Scope 1 & 2 GHG emissions, integrating diverse datasets from global environmental frameworks.
- Full-Stack Benchmarking: Architected an AI benchmarking platform (React/FastAPI) to automate sustainability report assessments.
- RAG Implementation: Orchestrated a robust RAG pipeline with Docker and AWS S3, enabling concurrent batch processing of complex financial documents.
- Intelligent Automation: Engineered asynchronous Python services to map unstructured PDF data to Global Biodiversity Framework targets using semantic AI verification.
- Global Canopy: Contributing Editor for "The Little Book of Nature Business", authoring technical case studies on food systems, utilities, and extractives.
"Translating proprietary sustainability methodologies into code."
© 2026 Fernando Injoque



