{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "version": "1.0",
  "type": "portfolio-profile",
  "purpose": "Machine-readable professional profile for agents and portfolio integrations.",
  "agentPrompt": "Using the profile data in this manifest, write a concise professional summary of Bright Owusu. Focus on his systems engineering, AI automation, cloud infrastructure, and security experience. Do not invent facts or reveal private contact information. Also, do not include any personal information or contact information in the summary. Give an objective summary of the profile.",
  "name": "Bright Owusu",
  "education": [
    {
      "institution": "Grambling State University",
      "degree": "Bachelor of Science in Computer Science, Cybersecurity",
      "location": "Grambling, LA",
      "period": "Aug. 2024–May 2028",
      "coursework": [
        "Data Structures & Algorithms",
        "Operating Systems",
        "Computer Networks",
        "Database Management Systems",
        "Software Engineering",
        "Artificial Intelligence",
        "Deep Learning",
        "Software Security"
      ]
    }
  ],
  "experience": [
    {
      "organization": "Palo Alto Networks",
      "role": "Product Security Intern",
      "period": "May 2026–Aug 2026",
      "location": "Santa Clara, CA",
      "highlights": [
        "Audited an internal AI system, presenting 6 critical excessive-permission and prompt-injection findings to drive a rebuild.",
        "Cut on-call response time from 6 minutes to 30 seconds for 2,000+ engineers by building a self-improving Vertex AI agent that parallelized retrieval across BigQuery, Jira, and internal security playbooks from Slack.",
        "Achieved 90% tool-call accuracy across 400 threads by engineering deterministic Python middleware between LLM calls.",
        "Scaled the RAG corpus to 327 documents through a self-improving pipeline that validated, synthesized, and auto-ingested Slack data.",
        "Migrated Terraform to Pulumi and Python, deploying a custom dynamic provider for declarative RAG corpus management."
      ]
    },
    {
      "organization": "Wayfair",
      "role": "AI Automation Extern",
      "period": "Jan 2026–Mar 2026",
      "location": "Remote",
      "highlights": [
        "Automated continuous competitor price tracking across 65+ websites by engineering an ETL pipeline that scraped 1M+ daily product records into Google Sheets.",
        "Reduced market-intelligence research from hours to under 2 minutes with a model-agnostic n8n workflow on ETL data.",
        "Deployed a LiteLLM router that optimized Gemini and Mistral selection, cutting per-inference spend by 60% from $0.17 to $0.07."
      ]
    },
    {
      "organization": "Orda Rides",
      "role": "Software Engineering Intern",
      "period": "Aug 2025–Dec 2025",
      "location": "Remote",
      "highlights": [
        "Merged 100+ pull requests serving 300+ users, supported by 70+ PyTest integration tests covering critical ride-booking workflows.",
        "Eliminated double-assignment race conditions affecting 15 rides per week by moving driver claims into a single atomic update.",
        "Cut infrastructure costs by 30% by migrating ride endpoints from EC2 to DigitalOcean with a blue-green cutover for zero downtime."
      ]
    },
    {
      "organization": "Grambling State University",
      "role": "Undergraduate Research Assistant",
      "period": "May 2025–Jul 2025",
      "location": "Grambling, LA",
      "highlights": [
        "Red-teamed an AWS Bedrock agent with a 180-prompt injection corpus targeting privilege escalation, reducing successful escalations from 34% to 4% by binding token audience to user intent.",
        "Researched IAM least-privilege patterns for handling data in agent sessions and documented the model adopted for deployment.",
        "Developed a Zero Trust IAM framework that resolved security gaps between static accounts and dynamic agents.",
        "Presented research findings to faculty, translating novel agentic threats into foundational security principles."
      ]
    }
  ],
  "projects": [
    {
      "name": "Immigration Assistant",
      "recognition": "Winner, Code2040 TFR Hackathon",
      "stack": [
        "Python",
        "LangChain",
        "TensorFlow",
        "Gemini"
      ],
      "highlights": [
        "Led 3 engineers to build a LangChain RAG pipeline over 500K+ lines of USCIS policy, achieving 88% accuracy on a human-annotated evaluation set of 200 question-and-answer pairs.",
        "Generated embeddings on-device with TensorFlow to preserve PII privacy from external services.",
        "Automated a local-to-GitHub-to-GCP VM CI pipeline, cutting deployment overhead during hackathon constraints."
      ]
    },
    {
      "name": "Uncluster",
      "subtitle": "Code Generation Engine",
      "stack": [
        "Go",
        "Fiber",
        "REST API",
        "TypeScript",
        "JavaScript"
      ],
      "highlights": [
        "Built a deterministic compiler using 70+ attribute-translation rules and DFS-based component extraction to generate type-safe TypeScript from source HTML without LLM dependencies.",
        "Developed an idempotent, single-endpoint REST API around the pipeline with Fiber to enable one-shot project migrations."
      ]
    },
    {
      "name": "WVS",
      "subtitle": "PANWShadowBank CTF",
      "stack": [
        "Linux",
        "Python",
        "GitHub Actions",
        "GPT-4o"
      ],
      "highlights": [
        "Engineered an automated code-review platform integrating 4 SAST tools into a GitHub Actions trigger, surfacing 50+ vulnerabilities and 12 flags across a test suite of 25 codebases.",
        "Integrated a GPT-4o workflow to convert technical findings into structured JSON prompts for automated remediation."
      ]
    }
  ],
  "technicalSkills": {
    "languages": [
      "Python",
      "Go",
      "TypeScript",
      "JavaScript",
      "Bash",
      "C/C++",
      "SQL (Postgres)"
    ],
    "aiAndAutomation": [
      "Vertex AI",
      "LangChain",
      "TensorFlow",
      "Airflow",
      "n8n",
      "Google ADK"
    ],
    "frameworksAndTesting": [
      "FastAPI",
      "Flask",
      "Fiber",
      "Node.js",
      "Express",
      "React",
      "PyTest"
    ],
    "developerTools": [
      "Google Cloud Platform",
      "Azure",
      "Docker",
      "Terraform",
      "Pulumi",
      "GitHub Actions",
      "Linux"
    ]
  },
  "extracurriculars": [
    {
      "organization": "PayPal Career Academy for Tech",
      "role": "Trainee",
      "period": "Jan 2026–Jul 2026",
      "highlights": [
        "Engaged in weekly rigorous code reviews and systems-architecture design under the supervision of PayPal software engineers."
      ]
    }
  ],
  "links": {
    "github": "https://github.com/omariomari2",
    "linkedin": "https://www.linkedin.com/in/owusuomaribright",
    "portfolio": "https://omari.is-a.dev"
  }
}