{
  "basics": {
    "name": "Mohammed Amin",
    "label": "Software Engineer, Researcher, Filmmaker",
    "email": "mohammedamin@berkeley.edu",
    "url": "https://mohammedam.in",
    "summary": "UC Berkeley EECS student and OpenAI intern building AI systems, human-computer interaction tools, mixed reality experiences, production software, research prototypes, and visual media.",
    "profiles": [
      {
        "network": "LinkedIn",
        "url": "https://www.linkedin.com/in/mohammed-a-amin/"
      },
      {
        "network": "GitHub",
        "url": "https://github.com/Mohammed-A-Amin"
      },
      {
        "network": "Google Scholar",
        "url": "https://scholar.google.com/citations?hl=en&user=M8vdbgEAAAAJ"
      }
    ]
  },
  "education": [
    {
      "institution": "University of California, Berkeley",
      "area": "Electrical Engineering and Computer Sciences",
      "studyType": "Bachelor's"
    }
  ],
  "work": [
    {
      "name": "OpenAI",
      "position": "Member of Technical Staff Intern",
      "startDate": "2026-06",
      "summary": "Software engineering internship focused on AI systems."
    },
    {
      "name": "Amazon Web Services",
      "position": "Software Engineer Intern, EC2 Private Pricing",
      "startDate": "2025-05",
      "endDate": "2025-08",
      "highlights": [
        "Built middle-of-month support in the EC2 PRC Console, enabling late enterprise contract onboarding and reducing on-call load by 16%.",
        "Implemented subscription time tracking across EC2 pricing models with Java and DynamoDB, cutting escalations across more than 86 support tickets.",
        "Engineered async purchase analysis and refund ticketing with EventBridge, Lambda, Athena, S3, and Step Functions.",
        "Added real-time telemetry in the PRC Console with React and Redux, reducing late-contract ingestion errors by 20%."
      ]
    },
    {
      "name": "Monad",
      "position": "Contract Software Engineer",
      "startDate": "2025-01",
      "endDate": "2025-05",
      "highlights": [
        "Developed 10 Go connectors for a security ingestion pipeline across AWS, GCP, and Azure, increasing supported sources by 30%.",
        "Integrated OCSF transformations using Go and GraphQL for normalized cross-cloud security data.",
        "Built schema mapping UI flows in Svelte and supported deployments with Kubernetes, k9s, and Docker."
      ]
    },
    {
      "name": "Netflix",
      "position": "Contract Software Engineer",
      "startDate": "2024-08",
      "endDate": "2024-12",
      "highlights": [
        "Designed a Flask backend for Netflix Interactive Titles, converting unstructured narrative data in Firebase into branching story nodes.",
        "Integrated Llama 3.2 into the narrative engine to generate dynamic worlds, storylines, and player decision trees.",
        "Used Stable Diffusion models on LAION data to generate high-quality 2D assets from text prompts."
      ]
    },
    {
      "name": "Berkeley AI Research and Meta",
      "position": "Undergraduate Researcher",
      "startDate": "2024-01",
      "endDate": "2025-12",
      "highlights": [
        "Developed ScenicSynth for learning coordinated physical tasks, improving code synthesis efficiency by 45% over traditional programming by demonstration methods.",
        "Engineered an AR interface in Scenic for spatio-temporal and verbal data collection using C# and OpenAI Whisper.",
        "Synchronized AR trajectory streams with verbal data across Firebase and Firestore for real-time execution in 3.8 seconds."
      ]
    }
  ],
  "skills": [
    {
      "name": "Software Engineering",
      "keywords": ["React", "Redux", "Java", "Go", "GraphQL", "Kubernetes", "Docker", "Svelte", "Flask", "Next.js", "MongoDB"]
    },
    {
      "name": "Cloud and Data Systems",
      "keywords": ["AWS", "DynamoDB", "EventBridge", "Lambda", "Athena", "S3", "Step Functions", "Firebase", "Firestore"]
    },
    {
      "name": "AI and Research",
      "keywords": ["AI Systems", "Human-Computer Interaction", "Mixed Reality", "OpenAI Whisper", "PyTorch", "Stable Diffusion", "Llama", "LangChain"]
    },
    {
      "name": "AR/VR and Mobile",
      "keywords": ["Unity", "C#", "Meta Quest SDK", "Swift", "SwiftUI", "RealityKit", "ARKit"]
    }
  ],
  "projects": [
    {
      "name": "Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations",
      "url": "https://arxiv.org/abs/2509.24250",
      "description": "Co-authored research on learning collaborative physical tasks from narrated mixed-reality demonstrations by representing behavior as editable programs."
    },
    {
      "name": "TaleTutor",
      "url": "https://devpost.com/software/taletutor",
      "description": "Built an education technology platform that turns teacher-uploaded PDFs into interactive themed lessons with contextual question answering."
    },
    {
      "name": "barber.ai",
      "url": "https://github.com/Mohammed-A-Amin/barber.ai",
      "description": "Built an AR app for virtual hairstyle try-on with real-time 3D overlays and personalized recommendations."
    }
  ]
}