ResumeResume

Software Engineer — Black Bee Drones

May 2026 – Sep 2026

• Developed software systems for autonomous drones in competitive applications, using ROS2 and Python in Linux environments;
• Architected a finite state machine (YASMIN) for autonomous missions, covering takeoff, area coverage, target detection, and landing;
• Built and trained computer vision models (YOLO/Ultralytics) and OpenCV pipelines for target detection, decoupled from hardware for isolated testing;
• Collaborated with cross-functional engineering teams to research, implement, and document software solutions for competitions and technical presentations;
• Used Git for version control and software project management in a collaborative development environment.

Full Stack Developer — Sage Networks

Nov 2025 – Mar 2026

• Built a Rust-based data pipeline (Parquet, Arrow, and embedded DuckDB) auditing BGP connectivity redundancy across Internet Exchange Points;
• Developed a hybrid Python and Cython pipeline for large-scale network traffic geolocation, operating within a 5-minute SLA;
• Maintained and evolved an in-house authentication system with email-based 2FA, JWT tokens, password recovery, and multi-tenant isolation across clients;
• Reverse-engineered a third-party platform's database, with no API or documentation available, to build a productivity analytics system;
• Built a new support tab in the client dashboard (Angular) and led standardization and modularization of components;
• Developed REST APIs and backend applications in Python, with Git version control and Docker containerization;
• Handled bug fixes, performance optimization, and technical documentation of features and processes.

Industry 4.0 Projects Trainee — TMD Friction Brazil

Jul 2025 – Nov 2025

• Led an integration project between the shop-floor system (ProLeiT) and the ERP (TOTVS), presented to senior management, to eliminate manual raw-material consumption entry and reduce tax discrepancies;
• Identified the root cause: lack of automatic validation (poka-yoke) between manually entered consumption and actual values measured by inbound/outbound scales, distorting TOTVS's backflush calculation;
• Proposed an automated integration architecture with poka-yoke validations (blocking invalid batches, out-of-range weights), ensuring real-time batch traceability;
• Built Excel dashboards and KPIs (Power Query, Power Pivot, pivot tables, complex formulas) for operational and business data analysis;
• Mapped production processes to identify risks and technical failure points before they impacted production;
• Made advanced use of ERP, MES, and PCS systems; produced technical documentation for projects and presentations.

Foreign Trade Apprentice — TMD Friction Brazil

Aug 2024 – Jul 2025

• Automated email dispatch, reporting, and PDF generation with VBA, using Excel itself as a database in an environment with no option to install new tools;
• Implemented poka-yoke validations in critical spreadsheets, automatically checking entered values against reference calculations and cutting hours-long tasks down to minutes;
• Automated document-request follow-ups with suppliers and internal departments, eliminating manual tracking;
• Handled freight analysis, quote management, special tariff regimes, and invoice processing for financial approval.

Web Developer & Automation Engineer — Freelancer

2023 – 2024

• Developed custom web applications and automations, delivering end-to-end solutions following software engineering best practices.

IXSonar — BGP Visibility Analysis Across Internet Exchanges

• What: a pipeline auditing BGP connectivity redundancy across Brazilian and international Internet Exchange Points, using historical route snapshots.
• With: Rust (tokio, reqwest, rayon), Apache Parquet and Arrow to minimize disk I/O, embedded DuckDB for SQL queries, Python (pandas, Flask) for the dashboard.
• Solves: the I/O bottleneck on massive, incomplete datasets, enabling prefix-overlap and AS-path comparisons across IXs without reprocessing data on every query.

SOVA — Large-Scale Traffic Geolocation Pipeline

• What: a pipeline that geolocates source and destination IPs in network traffic dumps to feed a DDoS detection and mitigation system.
• With: hybrid Python and Cython architecture, MaxMind GeoIP database, parallel processing.
• Solves: processing millions of records with IP geolocation lookups within a 5-minute SLA, impractical in pure Python.

Heimdall — Authentication and Access Control System

• What: an authentication and authorization system integrated with the client dashboard (Asgard), featuring 2FA, JWT, and multi-tenant isolation.
• With: Python, JWT, SQLite, Nginx.
• Solves: granular access control by contracted plan, with full data isolation between client companies and a consolidated admin role.

Asgard — Client Dashboard

• What: a new support tab in the client dashboard showing plan usage, ticket status, and average response time; led standardization and modularization of the project's components.
• With: Angular, TypeScript, containerized with automated deployment.
• Solves: duplicated code patterns across screens and lack of client visibility into their own support activity.

Pokedex — Productivity Analysis and Support Technician Allocation

• What: a system that calculates per-technician productivity and flags workload imbalances across the team.
• With: Python, direct SQL access to the database, Docker Swarm, Nginx.
• Solves: the absence of an API or documentation on a third-party support platform, requiring full reverse engineering of the database schema before extracting any metric.

Drone Simulator — ROS2 Flight Simulator

• What: a quadcopter simulator with custom physics, autopilot, and simulated sensors, running at 60 FPS.
• With: Python, ROS2, VPython (3D visualization), NumPy; physical model in X configuration with individual motor mixing; GPS, IMU, and LIDAR published as standard ROS2 topics.
• Solves: testing navigation and obstacle-avoidance algorithms without the cost or risk of physical hardware.

BlackBee Challenge - 2026 - Mission 1 - Mapping

• What: an autonomous aerial mapping system with target detection and real GPS coordinate projection.
• With: Python, ROS2/rclpy, YASMIN (finite state machine), OpenCV and YOLO/Ultralytics (interchangeable detection pipelines), MAVROS/MAVLink, Gazebo.
• Solves: autonomous area coverage, detection, and geolocation of targets; includes a fix for an optics error that changed the coverage algorithm from 6 to 8 waypoints, plus deduplication of targets across overlapping photos.

Personal Portfolio — Website & Admin Panel

• What: a full-stack portfolio site with its own CMS, native bilingual support, and authentication.
• With: Next.js 16 (App Router), React 19, TypeScript, Supabase (Postgres + Auth), Google Drive API, unit tests.
• Solves: content management (projects, articles, resume, messages) without relying on an external CMS, with automatic language detection via middleware.

Moodle Chat Bot — C Programming Assistant in Moodle Chat

• What: a browser extension that turns the Moodle chat into an interactive C compiler and AI tutor.
• With: JavaScript (Manifest V3), Python/Flask, GCC, Google Gemini API, DuckDB.
• Solves: compiling, running, and debugging C code (with real-time scanf support) directly from the course chat, with automatic header inference and fallback across AI models.

Electrolysis App — PEM Electrolyzer Simulator

• What: a desktop application simulating a PEM electrolyzer over 24 hours, calculating H2/O2 output, water consumption, heat generated, and electrical power draw from a configurable load profile.
• With: C# / .NET with Avalonia UI, LiveChartsCore and SkiaSharp for interactive charts, CSV and image report export.
• Solves: simulating intermittent solar-power scenarios with a physical electrolyzer model (Faraday's law, cell efficiency, thermal losses), recalculated in real time.

fuelCellPem — PEM Fuel Cell Simulator

• What: a desktop application simulating a PEM fuel cell over 24 hours, calculating hydrogen consumption, water and heat output, efficiency, and delivered energy from a configurable hour-by-hour usage profile.
• With: C# / .NET with Avalonia UI, interactive charts with PDF report export, xUnit (including headless UI tests), Python and SciPy to generate reference data, Git and GitHub Actions for CI and releases.
• Solves: porting a scientific model from a Python notebook to C# with verified parity: automated tests compare the app's outputs with the notebook's across many scenarios, including extreme cases and invalid inputs.

TOTVS × ProLeiT Integration — Data Analysis and Automation for Industry 4.0

• What: data analysis and automation in a project integrating the ERP (TOTVS) with the shop-floor MES (ProLeiT), to reconcile inventory and identify process failures and stock discrepancies.
• With: advanced Excel (Power Query, Power Pivot, pivot tables, KPIs, Solver), VBA, Microsoft Power Automate, TOTVS and ProLeiT.
• Solves: discrepancies between production and the ERP across reports with millions of rows, with analyses presented to the board and manual data-entry routines replaced by automations.

Mão Dupla — Chrome Extension to Manage Instagram Followers

• What: an open-source Chrome extension (Manifest V3) that shows, from the user's own account, who doesn't follow them back and what changed between refreshes, with a follow/unfollow queue.
• With: plain JavaScript with no dependencies or build step, Chrome Extensions (Manifest V3) and chrome.scripting, localStorage for local cache, GitHub Actions for automated releases; .zip writer and reader built from scratch.
• Solves: tracking followers running 100% locally, with no server or password, verifying each "left" alert directly against Instagram to avoid false positives, and a queue that pauses and locks for 6 hours if the account is limited.