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RyanJBush/README.md

Ryan J. Bush

Information Science & Electrical Engineering Student | Focused on AI/ML, Cybersecurity, Data Science & Cloud

University of Maryland student building portfolio projects across AI engineering, cybersecurity, data analytics, and cloud systems. Seeking internship opportunities to contribute through hands-on technical work in AI/ML, security operations, or data-driven applications.

Focus Areas

AI & Automation: Retrieval-augmented generation (RAG), agentic systems, workflow orchestration
Security: Threat detection, incident response, application security, vulnerability assessment
Data & Analytics: Risk scoring, anomaly detection, sentiment analysis, clinical insights
Infrastructure: Cloud systems, observability, reliability engineering, monitoring
Verticals: FinTech, healthcare analytics, enterprise systems

Skills

Category Technologies & Practices
Languages Python, JavaScript, HTML, CSS
AI/ML & Data RAG workflows, scikit-learn, model evaluation, anomaly detection, sentiment analysis, risk scoring
Security SOC workflows, threat triage, incident response, vulnerability scanning, AppSec concepts
Backend & APIs FastAPI, REST API design, technical documentation, testing
Frontend React, interactive dashboards, data visualization
Cloud & DevOps Docker, Git/GitHub, GitHub Actions, monitoring, observability fundamentals

Featured Portfolio

Nine end-to-end projects across AI engineering, cybersecurity, data science, cloud systems, and healthcare. Each demonstrates full-stack problem-solving from requirements through evaluation and documentation.

AI Engineering & Agents

Cybersecurity & DevSecOps

Data Science, FinTech & Analytics

Cloud, Reliability & Observability

Healthcare Analytics

Currently Building / Learning

  • Strengthening evaluation frameworks and benchmarking across AI/ML and agentic systems
  • Deepening cloud-native reliability and observability practices
  • Expanding technical documentation and architecture communication skills

What This Portfolio Demonstrates

  • Full-stack project execution: Scoping, implementing, and evaluating across AI, security, data, and cloud domains
  • Portfolio organization: Well-documented projects designed for recruiter and stakeholder readability
  • Applied technical judgment: Solving complex problems across enterprise, financial, healthcare, and operational contexts
  • Cross-disciplinary systems thinking: Combining AI, data science, security, and infrastructure perspectives

Contact & Connect

Portfolio Activity

Last Updated: 2026-05-22T22:25:12.415Z

Recently Active

Last Updated: 2026-05-22T22:34:49.630Z

Recently Active

Popular repositories Loading

  1. multi-agent-workflow-automation-platform multi-agent-workflow-automation-platform Public

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

    Python 1

  2. enterprise-rag-knowledge-assistant enterprise-rag-knowledge-assistant Public

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

    Python

  3. soc-threat-detection-and-incident-response-platform soc-threat-detection-and-incident-response-platform Public

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

    Python

  4. real-time-fraud-detection-and-risk-scoring-platform real-time-fraud-detection-and-risk-scoring-platform Public

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

    Python

  5. ai-research-and-competitive-intelligence-agent ai-research-and-competitive-intelligence-agent Public

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

    Python

  6. market-sentiment-and-trading-intelligence-dashboard market-sentiment-and-trading-intelligence-dashboard Public

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

    Python