Instituto Militar de Engenharia
Academic Background • Rio de Janeiro, Brazil

Instituto Militar de Engenharia (IME)

Bachelor in Electronic Engineering (Jan. 2023 – Dec. 2027)

Electronic Engineering student at IME focused on AI & Computer Vision Engineering, with experience building Vision-Language Models (VLMs) architectures, LLM applications, autonomous drone software, and robust data pipelines. Merging a rigorous foundation in circuit design, embedded hardware, signal processing, and mathematics with state-of-the-art software engineering and computer vision.

Relevant Coursework:

Artificial Intelligence Machine Learning Computer Vision Data Structures Algorithms Statistics Embedded Systems Control Theory
Explore Experience
Stealth Startup Machine Learning & Computer Vision
Current Position • Remote

Stealth Startup

Machine Learning & Computer Vision Trainee (September 2026 – Present)

  • Vision-Language Models (VLMs): Developing artificial intelligence modules with an emphasis on Vision-Language Models (VLMs) and related architectures applied to image and video analysis.
  • Computer Vision & Drone Image Processing: Engineering computer vision pipelines utilizing YOLO and other object detection frameworks for the processing and management of images captured by drones.
Vision-Language Models (VLMs) YOLO Computer Vision Image & Video Analysis Drone Image Processing Object Detection Python
Previous Experience (Selvia)
Selvia AI Engineering
Industry Experience • Remote

Selvia

Data Science Intern — Data Engineering & AI Solutions (November 2025 – September 2026)

  • LLM Response Evaluation: Developed an LLM-based pipeline to systematically evaluate and enhance chatbot response quality and factual consistency.
  • RAG Pipeline Optimization: Diagnosed and improved an existing Retrieval-Augmented Generation (RAG) system by analyzing retrieved contexts and uncovering optimization opportunities.
  • Automated Feedback Loops: Designed an automated feedback mechanism where the LLM diagnoses chatbot failure patterns, detects anomalies in prompt engineering or retrieved context, and proposes automated improvements.
  • Modern ELT Data Pipelines: Developed, scaled, and maintained ELT pipelines using Python, SQL, dlt, and dbt.
  • Cross-Platform Ingestion: Ingested and harmonized multi-source data streams including Pipedrive CRM and Label Studio annotations.
  • Cloud Orchestration & Analytics: Orchestrated production workflows with AWS Step Functions and GitHub Actions; authored analytical queries and structured data models on AWS Athena, S3, and AWS Glue.
  • AWS Bedrock & GenAI: Applied AWS Bedrock to build, evaluate, and benchmark LLM-driven prompt and context optimization workflows.
Python AWS Bedrock RAG Architectures dbt dlt SQL AWS Athena AWS Glue AWS S3 Step Functions GitHub Actions
Robotics & Leadership (RoboIME)
RoboIME Drone Systems
Autonomous Robotics • Rio de Janeiro, Brazil

RoboIME

Drone Team Lead (Jan. 2025 – Jan. 2026)

Hardware Engineer (Aug. 2023 – Jan. 2025)

  • Team Leadership: Led an 8-member multidisciplinary engineering team developing autonomous drone architectures and flight software.
  • Autonomous Systems & Vision: Developed full-stack autonomous drone systems integrating computer vision, embedded microcontrollers, and modern control theory.
  • Autonomy-Hardware Software Bridge: Designed and implemented the communication architecture bridging high-level autonomy algorithms with embedded flight systems via PyMAVLink.
  • Multi-Agent & Swarm Research: Researched autonomous flight protocols and multi-agent coordination for cooperative aerial missions.
  • Computer Vision & Tracking: Implemented real-time vision algorithms using Python and OpenCV for target identification and localization.
  • Competitive Robotics: Participated in the Flying Robots Competition at the Brazilian Robotics Competition (Competição Brasileira de Robótica – CBR).
Python OpenCV PyMAVLink Autonomous Flight Embedded Systems Multi-Agent Systems C/C++
View Projects

Featured Projects

Selected technical projects demonstrating engineering in Vision-Language Models, grounded LLM synthesis, automated mathematical solving, and end-to-end data pipelines.

AI.ciOne & CEML Open Source

AI.ciOne & CEML

Python DSL SymPy Circuit Solver

An automated electronic circuit solver pipeline. Features CEML, a domain-specific language for analytical circuit representation, coupled with a mathematical solver utilizing SymPy.

Ground Source Engine Open Source

Ground Source Engine

Python LLMs Grounded Synthesis Citations

Open-source search and factual synthesis engine (LLM) focused on rigorously grounded knowledge. Virtually every substantive claim generated by the model is accompanied by a verifiable primary or secondary source, cited inline in markdown format.

CTAIO Readiness Matrix Open Source • Live App

CTAIO Readiness Matrix

Transformers.js ONNX Embeddings Cosine Similarity

An AI-powered executive career matching and competency gap remediation platform designed for ctaio.dev — the premier intelligence publication for CTO, CIO, CAIO, and CDAO convergence. Runs fully in-browser with zero backend API overhead.

Financial Data ETL Pipeline Open Source

Financial Data ETL Pipeline

Python Docker ETL Pipeline Inter API

An end-to-end automated ETL solution to extract and process financial data. The application is containerized with Docker to ensure consistent deployment and isolated execution.

Drone Autonomous System
Private • RoboIME

Drone Autonomous System

Python OpenCV PyMAVLink Robotics

Developed computer vision and autonomous navigation solutions for unmanned aerial vehicles. Designed software integration connecting high-level autonomy logic with physical embedded flight systems, tested and deployed in real-world autonomous flight scenarios.

Automated RAG & Evaluation Pipeline
Proprietary • Selvia

Automated RAG & Evaluation Pipeline

AWS Bedrock Python dbt • dlt Step Functions

Automated LLM evaluation framework incorporating context retrieval quality analysis, prompt optimization, and diagnostic feedback loops. Integrates modern data engineering tooling (dlt, dbt, Athena) with AWS cloud orchestration.

Technical Skills & Stack

Core toolset and technologies applied across artificial intelligence, computer vision, cloud data engineering, and embedded robotics.

Programming Languages

Python SQL SymPy C / C++ MATLAB

Object-oriented software design, symbolic mathematics (SymPy), numerical analysis, and low-level hardware-software interfacing.

AI & Computer Vision

Vision-Language Models (VLMs) YOLO Computer Vision OpenCV LLM Applications RAG Systems AWS Bedrock Prompt Engineering

Multi-modal VLM architectures, object detection (YOLO), drone video processing, evaluation feedback loops, and context retrieval.

Cloud & Data Engineering

Docker AWS Athena AWS S3 AWS Glue Step Functions dbt dlt PostgreSQL MongoDB

Containerized applications (Docker), scalable ELT pipelines, automated orchestration, serverless cloud analytics, and data modeling.

Tools & Methodologies

Docker Git & GitHub GitHub Actions PyMAVLink Claude Code Metabase Linux ADRs

Containerization, CI/CD automation, architectural decision records (ADRs), flight telemetry bridging, and Linux developer environments.