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gomesdevs/README.md

David Gomes

Bridging high-frequency financial systems and enterprise-grade security architectures.

Currently Front-End Architect at Mansa S.A., I define technical standards for hybrid trading platforms that deliver zero-latency market data across web, desktop, and mobile. My work sits at the intersection of precision software engineering, real-time financial infrastructure, and proactive risk intelligence.

Core Expertise

  • Real-time trading systems (WebSockets, sub-100ms API latency)
  • Hybrid application architecture (React, React Native, Flutter)
  • Platform-agnostic Design Systems
  • Risk analysis and threat mitigation (DDoS, anomaly detection)
  • Machine learning for market forecasting
  • Clean Architecture, CI/CD, performance engineering

Evidence

Mansa S.A.
Front-End Architect
Campinas, Brazil • February 2026 – Present

Technical leadership for the entire digital ecosystem. Architected hybrid React/React Native/Flutter stack with a unified Design System. Optimized WebSocket and API layers to guarantee zero-latency reflection of quotes and trading operations. Mentor development teams on Clean Architecture, automated testing, and CI/CD standards.

B3Forecast
Financial forecasting platform
Personal Project • 2024–2025

End-to-end LSTM neural network system (TensorFlow) for Brazilian stock market prediction. Achieved 87% accuracy on 5-day forecasts while processing 10,000+ data points daily with sub-100ms ingestion latency. Built and deployed with Streamlit for production-grade usability.
github.com/gomesdevs/B3Forecast

ThreatSense
Real-time network security dashboard
Personal Project • 2024

Interactive threat intelligence platform processing 1,000+ network flows per second. 94% malicious activity detection accuracy using Python, Dash, Wireshark-captured datasets, and custom ML models. Reduced false-positive rate by 35% versus traditional rule-based systems.

Certifications

Bloomberg Finance Markets — 2026
Cisco Risk Analysis — 2026

Berlitz Test B1.3 — 2025
Machine Learning Practioner — 2024

Connect

Available for selective opportunities in FinTech infrastructure and security architecture.

Pinned Loading

  1. B3Forecast B3Forecast Public

    B3Forecast revolutionizes Brazilian stock market analysis by combining cutting-edge LSTM neural networks with real-time market data to deliver precise 5-day stock price predictions. Built for finan…

    Python 1

  2. Transfer-Learning Transfer-Learning Public

    Este projeto explora a aplicação do método de Transfer Learning em uma rede neural profunda (Deep Learning) utilizando a linguagem Python no ambiente Google Colab . O objetivo é treinar um modelo c…

    Jupyter Notebook

  3. metricas-de-classificacao metricas-de-classificacao Public

    Projeto para calcular as principais métricas de avaliação de modelos de classificação, como acurácia, sensibilidade (recall), especificidade, precisão e F-score. O código utiliza uma matriz de conf…

    Python

  4. studyspark studyspark Public

    An intelligent quiz application that provides personalized study recommendations based on your performance. Built with Next.js and powered by AI to help students improve their learning efficiency.

    TypeScript

  5. password-analyser password-analyser Public

    A C++ study applied to a password quality checking system. It rates passwords from 0 to 7 according to some attributes detailed in the readme.

    C++

  6. data-haversting-europe data-haversting-europe Public

    Data Harvesting Europe is a comprehensive financial data collection and processing system tailored for European stock markets. Built with Python, it provides reliable, efficient, and scalable data …

    Python 1