Ádony Lagares
Software Engineer | FullStack .NET
Full Stack Developer proficient in .NET and the React ecosystem (TypeScript/Next.js). I combine modern UI creation with distributed Cloud architectures (Azure/AWS), API security, and technical implementation of AI models (LLMs).
Tech Stack & Tools
About
Software Engineer with solid experience in FullStack development and cloud deployment. My work combines creating secure technological solutions, system modernization, and process automation using Entity Framework and high-performance REST APIs.
My technical focus is on building resilient systems, integrating AI models and advanced automation directly into the development lifecycle (SDLC) and scalable business solutions.
Professional Experience
FullStack Developer .NET
Apr 2025 — Present- I work on the squad dedicated to an insurance industry client, implementing improvements to internal quotation and broker-relationship platforms, using .NET, React, Cosmos DB, and Azure services.
- Developed, together with the team, a smart quotation system using AI and RAG (Retrieval-Augmented Generation) to analyze broker files and automatically fill out the quotation form, eliminating manual steps from the process.
- Implemented an AI solution for credit analysis, supporting decisions within the insurer's business flow.
- Worked on migrating a legacy low-code platform to a modern .NET 8 stack, preserving all existing features and adding improvements, with AI tooling support (Claude Code) throughout the process.
Quality Engineer Intern
Mar 2025 — Aug 2025- Worked in Agile squads applying Shift-Left Testing concepts for early validation of business rules and Acceptance Criteria.
- Performed risk mapping to prioritize validations in critical flows, ensuring delivery stability and technical traceability in Confluence.
- Data engineering for QA: Generation of synthetic data mass and complex test scenarios using GenAI.
- Collaboration in structuring automated tests using Robot Framework and scenario documentation in BDD (Gherkin).
Software Engineer Intern
Mar 2022 — Mar 2024- Developed Pipe History, a Full Stack system for tracking tube production, locating each bar from manufacturing through every stage of the plant to customer delivery.
- Integrated the system with QTS (factory floor sensors) and QR codes registered on the bars, scanned via handheld devices by operators at each process stage — reducing support ticket volume by 80%.
- Workflow optimization in critical systems (MES/SAP) via scripting and automation.
- Cross-border data integration (Brazil-France) with AI-assisted synchronization algorithms.
Education
Software Engineering (Bachelor's)
Certifications
Featured Projects
AI-Powered Insurance Quotation
System developed with the team for an insurance company, a current client at Squadra Digital.
Uses AI with RAG (Retrieval-Augmented Generation) to analyze broker files and automatically fill out the quotation form, cutting a ~9-minute process down to ~30 seconds.
Pipe History
High-criticality traceability system developed at Vallourec.
Locates each bar from manufacturing to customer delivery, integrated with QTS (factory floor sensors) and QR codes registered on the bars, scanned via handheld devices by operators at each process stage.
Ensures batch integrity, resulting in a 30% reduction in operational errors and 80% in support tickets.
Industrial Sync v2.0
End-to-end industrial telemetry monitoring system designed with Clean Architecture and a focus on global scalability.
Data pipeline implementation using Azure Service Bus for asynchronous processing and Worker Services, ensuring resilience against traffic spikes.
Interactive dashboard with real-time anomaly alerts, audit export, and dynamic multi-language support (i18n).