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RogerioLS/README.md

Hi 👋, I'm Rogério Lopes da Silva

Commits PRs Repositories GitHub Stars Followers

Profile Views Open Source Workflow Status Location

LinkedIn Outlook École 42 Poli-USP PUC Angels

💼 Currently:
Quantitative Developer — Wealth Management at ASA
🤝 Advisory: Executive Member of the AI Committee at PUC Angels

🎓 Completed Education:
• B.S. in Computer Engineering
• Software Engineering @ École 42
• Specialization in Machine Learning in Production (MLOps)

In Progress:
• Financial Engineering @ Poli-USP
• M.Sc. in Software Architecture @ École 42

🚀 Focus Areas:
Quantitative Finance (Portfolio Allocation, Risk & Automated Execution Systems), End-to-End MLOps, and High-Performance Software Architecture.

📊 GitHub Stats

GitHub Summary

🗂️ Highlight Projects

github contribution grid snake animation

💼 Professional Experience

Role & Company Key Deliverables & Responsibilities
Quantitative Developer
Wealth Management

🏢 ASA
📅 Jun 2025 – Present
• Structured the quantitative wealth management division, developing data infrastructure, market models, and decision-support tools.
• Developed and deployed portfolio allocation & optimization models (Monte Carlo, Black-Litterman, Markowitz).
• Built automated order execution & ticket processing pipelines (boletagem) for onshore and offshore single-asset funds.
• Created Streamlit applications for portfolio monitoring, reporting, and investment committee insights.
Executive Member
AI Committee & Mentor

🤝 PUC Angels
📅 Nov 2024 – Present
• Board member and strategic mentor for startups and founders.
• Advising on Artificial Intelligence, Data Science, Cloud architecture, and tech business strategies.
Risk Quant Developer

🏢 Gauss Capital
📅 May 2025 – Jun 2025
• Quantitative analysis and modeling for market & liquidity risk.
• Developed, maintained, and optimized middle-office and risk-management systems and tools for financial instruments.
Data Scientist/MLOps

🏢 BRLink
📅 Sep 2024 – May 2025
• Led end-to-end Machine Learning and MLOps solutions in production on AWS for enterprise clients.
• Technical liaison aligning business stakeholders and engineering teams on high-complexity AI architectures.
Data Scientist & BI

🏢 Incentivar
📅 Dec 2020 – May 2025
• Developed Computer Vision models with YOLOv5/v8 and predictive models using statistical methods.
• Engineered automated data pipelines, MySQL querying, Docker containerization, CI/CD, and analytics dashboards.

🛠️ Tech Stack & Skills

📈 Quant & Finance Portfolio Allocation (Markowitz, Black-Litterman, Monte Carlo), Market & Liquidity Risk, Automated Execution Systems
💻 Languages & Core Python, C, C++, SQL (MySQL), Bash, Linux, Git
🤖 AI, ML & MLOps PyTorch, Scikit-Learn, Streamlit, Docker, AWS Cloud, CI/CD, MLflow, Software Architecture

⚡ Beyond the Code / Off the Clock

⚽ Football Die-hard Corinthians supporter ("Corinthiano sofredor" — if there's no suffering, it's not Corinthians! 🦅)
🎮 Gaming Passionate about Counter-Strike (CS) on off-hours 🎯
🐉 Anime Debate Huge Dragon Ball fan (and yes, definitively better than Naruto! ☕)
⚔️ Current Masterpiece Obsessed with Demon Slayer (Kimetsu no Yaiba) — the Hinokami Kagura scene is absolute peak cinema 🔥

Pinned Loading

  1. Covid-19Mundial Covid-19Mundial Public

    🦠 Forecast com os dados do covid-19 🦠

    Jupyter Notebook 2

  2. Desafio-Laraia Desafio-Laraia Public

    🔮 Resolução case yahoo finance

    2

  3. Sabatina Sabatina Public

    🎈 Esse repositório é dedicado sobre discussões de Machine Learning encabeçado pelo mentor José Ferreira Neto

    Jupyter Notebook 4

  4. Common_Core_Projets_42_SP Common_Core_Projets_42_SP Public

    About cactus Todos os projetos desenvolvidos na escola 42 São Paulo guard All projects developed at 42 school São Paulo

    2

  5. machine_learning_and_to_and machine_learning_and_to_and Public

    Jupyter Notebook

  6. Codetation Codetation Public

    💥 Primeiro curso voltado a Data Science - AceleraDev Codenation

    Jupyter Notebook 2