Carlos Ulisses Flores
"Working at the frontier of technological development, integrating academic rigor and executive pragmatism to solve problems in complex adaptive systems."
Core Pillars
Quant Finance & Web3
- • HFT and Arbitrage Algorithms (Cash & Carry)
- • Institutional Custody (MPC) and Privacy (Monero)
- • Auditable Smart Contracts (Solidity)
Hardware & IoT
- • Edge Computing and Agricultural Automation (GoldenLeaf)
- • 'Cloudless' and Zero Trust Architectures
- • Embedded Cryptography (ESP32/ECC)
AI & Data Science
- • Cyber Resilience (LSTM + Little's Law)
- • Anomaly Detection in Time Series
- • Financial Data Science Pipelines
Academic Background
International Extension
- Univ. of Edinburgh (Philosophy of Science)
- UC San Diego (Learning Sciences)
Professional Trajectory
CTO & Chief Researcher
2020 - PresentR&D leadership in Quantitative Finance, Custody (MPC) and IoT Hardware. Team management.
Planning Management
2017 - 2023Responsible for municipal strategic planning, budget and socioeconomic development.
Managing Partner & Architect
2012 - 2019ERP development, commercial automation and Google partnership. Cloud migration.
Strategic Consultant
2013 - 2018Algorithm auditing (Lotteries), LGPD and financial Business Intelligence.
Management & Technology (Early Career)
1998 - 2012Foundational decade: Financial Analyst, Technical Coordinator and early systems developer (VBA/PHP).
Engineering & Products
Codex Hash Algo-Trading
Stochastic arbitrage and high-frequency trading (HFT) system for crypto markets.
GoldenLeaf IoT System
Embedded system for environmental control and precision agriculture with elliptic curve cryptography.
BioBytes Legacy
Digital memory and biographical heritage preservation system with military-grade security.
Clube Santo Platform
Digital platform for theological education and virtual communities with proprietary CMS.
Tech Stack & Skills
Core Engineering
- Node.js / TypeScript
- Python / Rust
- C++ / C# / C
- PHP / Java
- Solidity (Contracts)
Architecture & DevOps
- Microservices & Docker
- CI/CD Pipelines
- Linux CLI & OS
- UML / Design Patterns
- Cloudless Architectures
Management & Processes
- BPMN (Bizagi)
- Scrum & Agile / XP
- Value Stream Mapping
- Business Intelligence
- Quality Assurance (QA)
Certifications (Alura/FIAP)
Selected Publications
Little's Law as a Vector for Resilience and Quality
Study on applying Little's Law to elevate delivery predictability and resilience in Data Science operations.
Predictive Analysis of Financial Assets Using LSTM Models
Predictive analysis of financial assets with LSTM networks to capture temporal dynamics in non-stationary markets.
Thermodynamic Analysis and Engineering of Hybrid Cooling Systems
Whitepaper on applied thermodynamics for hybrid cooling system design in critical infrastructure.
Cloudless Architectures and Data Sovereignty in IoT
Cloudless architectures for IoT with data sovereignty and local edge processing.
Simulations
Scenario laboratory
AI 2027 in Portuguese
Prospective simulation in scrollytelling format with timeline, dynamic KPI panel and scenario branching (slowdown/race), based on the AI 2027 manifesto in academic pt-BR version.
Open simulationCodex Hash Ltda
R&D laboratory (deep tech) focused on quantitative finance/Web3, cloudless architecture for IoT and artificial intelligence applied to cyber-financial resilience.
This section is the official #codexhash anchor for resolving internal semantic links.
Professional & Academic Summary (Lattes)
> Economic Scientist, Systems Analyst and Polymath Researcher with a solid trajectory of over 28 years at the convergence of Financial Engineering, Distributed Software Architecture and Humanities. Works at the frontier of technological development, integrating academic rigor and executive pragmatism to solve problems in complex adaptive systems.
MSc Candidate in Artificial Intelligence at the American Global Tech University (AGTU/USA), conducting cutting-edge research on 'Cyber and Financial Resilience'. His dissertation investigates hybrid architectures coupling Recurrent Neural Networks (LSTM) with stochastic flow models (Little's Law) and Bayesian Inference, aiming to create antifragile autonomous agents for high-volatility markets. Holds an MBA in Blockchain Development & Technologies from FIAP, focused on cryptoeconomics and decentralized governance. Bachelor in Economic Sciences, with a thesis revisiting Chaos Theory and non-linearity in markets from the Austrian School perspective.
Currently serves as CTO and Chief Researcher at Codex Hash Ltda, leading an R&D laboratory focused on three pillars: Quantitative Finance & Web3 (HFT, Cash and Carry, Solidity, MPC/Monero Custody), Hardware & IoT Engineering (Edge Computing, "Cloudless", Zero Trust, ESP32) and Applied Artificial Intelligence (Data Science for financial time series).
Distributed solutions architect with mastery of microservices, container orchestration and DevOps. Expert in modern JavaScript stack and critical systems in C++ and MQL5.
Advanced proficiency in Python (Pandas, Scikit-learn, TensorFlow, PyTorch).
Alongside his technology career, maintains a research line in Historical Theology and Cognitive Archaeology. Founder of Instituto Clube Santo, applies Textual Criticism methodology and comparative hermeneutics. An intellectual profile that combines the analytical capacity of exact sciences with philosophical depth, aligning digital innovation with memory preservation and individual freedom (Cypherpunk ethos).