Moises Aguiar

Comprehensive design and development of an AI agent for WhatsApp aimed at an agricultural law firm. The system automates triaging, collects case data, generates preliminary analyses, manages the schedule, and reactivates inactive leads.

Technical Solutions Implemented

AI and RAG Architecture: Implementation of Python (FastAPI) and Agno Framework with OpenAI models, using LanceDB for precise legal document querying.

Intelligent Processing: Creation of a timed message queue to group consecutive user texts, optimizing costs and coherence.

Asynchronous Flows: Development of a background engine that processes detailed case analyses and executes an automatic follow-up system for unconverted users.

Integration and Deployment: Connection with Google Calendar for appointment booking and packaging the system in Docker containers with data persistence.

Throughout last year, I worked as a Full Stack developer and AI specialist at Walks Bank, a fintech company focused on simplifying processes and increasing efficiency. My role was to understand the team's bottlenecks and create technological solutions that genuinely facilitated daily tasks.

Among the most notable projects I led, I can mention:

I developed an internal application with OCR integration that completely changed how the sales team registers new leads. This eliminated a significant portion of manual work and allowed the team to focus on closing deals.

I created custom dashboards for KPI tracking, providing clear visibility into data that was previously scattered.

I built intelligent systems and automations focused on the financial area using Python, always aiming to scale operations and reduce manual errors.

My day-to-day involved combining technical development with a product vision, ensuring that every piece of code had a real impact on the company.

Currently, I am leading the evolution of Analise Crédito Fácil, transforming a functional web application into a robust and scalable SaaS. My primary focus is on modernizing the structure to support multiple clients (multi-tenant), ensuring that each company's data is isolated and secure by design.