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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex2Achievement: Quickdraw

Highlights

  • Pro

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RyanJBush/README.md

Ryan Bush

I’m Ryan, a University of Maryland student studying Information Science and Electrical Engineering with a Business minor. I build hands-on projects in AI, data, and security, then document them so other students, recruiters, and technical teams can quickly understand the architecture, tradeoffs, and outcomes.

Currently focused on

  • Designing reliable agent workflows that can be inspected step-by-step instead of treated like a black box.
  • Building practical RAG and research systems with better retrieval quality and cleaner evaluation loops.
  • Improving risk-model projects with clearer feature logic, explainability outputs, and review workflows.
  • Strengthening security projects around SOC triage, AppSec scanning, and structured reporting.
  • Keeping portfolio documentation consistent so each repo is easy to evaluate on its own.

Core skills demonstrated

AI / ML

  • Python, PyTorch, scikit-learn
  • RAG pipelines and retrieval evaluation
  • Agent orchestration and research automation
  • Explainability workflows (SHAP)

Data

  • SQL, PostgreSQL, SQLAlchemy
  • Data pipeline design and scoring workflows
  • Monitoring-oriented anomaly detection
  • Risk analytics and review logic

Security

  • SOC detection and alert triage patterns
  • MITRE ATT&CK-aligned mapping
  • AppSec scanning patterns (SQLi/XSS)
  • Structured vulnerability reporting

Full-Stack

  • FastAPI, React, TypeScript
  • REST API design
  • Docker / Docker Compose
  • Project documentation and demo UX

Best projects to review first

  1. Enterprise-RAG-knowledge-platform — Callisto
    A strong starting point for seeing how I approach AI system design: retrieval, ranking, and multi-tenant organization in one repo.

  2. Secure-application-platform-and-vulnerability-scanner — Obsidian
    Best security-focused example, with scanning logic, vulnerability categories, and reporting structure that mirrors real AppSec workflows.

  3. Real-time-fraud-detection-platform — Meridian
    Shows how I connect ML scoring with explainability and practical review steps, rather than treating prediction as the final output.

Project index

AI & Agents

ML & Risk

Security

Preview note

“Preview” links in this portfolio refer to UI or portfolio previews. They are not always live hosted production deployments.

Contact / Recruiting

Popular repositories Loading

  1. Enterprise-RAG-knowledge-platform Enterprise-RAG-knowledge-platform Public template

    Enterprise RAG knowledge platform with secure document ingestion, citation-based answers, RBAC, and multi-tenant SaaS architecture.

    Python

  2. SOC-threat-detection-platform SOC-threat-detection-platform Public template

    AI-powered SOC threat detection platform with log ingestion, anomaly detection, alert triage, analyst workflow dashboards, and security analytics.

    Python

  3. Real-time-fraud-detection-platform Real-time-fraud-detection-platform Public template

    Real-time fraud detection platform with ML risk scoring, explainability (SHAP), streaming-style ingestion, and full-stack analytics dashboard.

    Python

  4. Multi-agent-workflow-orchestration-platform Multi-agent-workflow-orchestration-platform Public template

    Multi-agent AI workflow platform with task orchestration, memory, tool usage, and autonomous execution pipelines using LLMs.

    Python

  5. Autonomous-research-and-intelligence-agent Autonomous-research-and-intelligence-agent Public template

    Autonomous AI research agent that performs multi-step web research, source validation, summarization, and citation-based reporting using LLMs and agent workflows.

    Python

  6. Real-time-market-sentiment-and-trading-intelligence-platform Real-time-market-sentiment-and-trading-intelligence-platform Public template

    Real-time stock sentiment and trading intelligence platform using NLP, streaming data, and full-stack analytics dashboards.

    Python