I build research software, simulation systems, and citable computational artifacts for complex environments.
CTO at Codex Hash and MSc Candidate in AI, working at the intersection of AI systems engineering, forecasting, resilience, and reproducible software for research and decision-making.
- AI systems for forecasting, decision support, and complex operational environments
- Research software with reproducible releases, documentation, and scholarly metadata
- Simulation and resilience tooling for technical, academic, and experimental workflows
- llm-contextizer - Zero-dependency Python CLI for turning codebases into token-efficient contexts for LLMs and research workflows.
- mit508-techgrowth-des - Discrete-event simulation of Kafka-Flink-Iceberg pipelines under PACELC and network-partition stress.
- cyberfinancial-resilience-lrblstm - Research software for cyber-financial resilience modeling with stochastic systems, Little's Law, and LSTM forecasting.
- odisseo-signal-atlas - Multilingual GitHub discovery engine for frontier engineering, open-source signals, and agentic search.
- mirofish-citation-edition - Citation-focused archival edition of MiroFish with DOI, multilingual documentation, and scholarly metadata.
- Public releases and versioned artifacts across research-oriented repositories
- DOI-backed, citation-ready software publication workflows
- Open-source documentation and upstream contribution work around software citation and scholarly infrastructure
Previous ventures included MV9 Web & Sistemas and C3 Group. Current public work is consolidated under Codex Hash.
- Website: www.ulissesflores.com
- ORCID: orcid.ulissesflores.com
- Lattes: lattes.ulissesflores.com
- LinkedIn: linkedin.ulissesflores.com



