{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Anshul Panigrahi",
    "label": "AI engineer building LLM products and tool-using agents",
    "email": "anshulpanigrahi3678@gmail.com",
    "url": "https://burntcookiedough.github.io/",
    "summary": "Information Technology undergraduate at VIT who ships AI products end to end: on-device speech, LLM analytics that still work without the model, multi-agent support systems with human approval gates. Co-inventor on three published Indian patent applications. Looking for AI engineering internships with product teams shipping LLM features, agents and tool use.",
    "location": {
      "city": "Vellore",
      "countryCode": "IN"
    },
    "profiles": [
      {
        "network": "GitHub",
        "username": "burntcookiedough",
        "url": "https://github.com/burntcookiedough"
      },
      {
        "network": "LinkedIn",
        "username": "anshul-panigrahi22",
        "url": "https://linkedin.com/in/anshul-panigrahi22"
      }
    ]
  },
  "work": [
    {
      "name": "Brandworks Technologies Private Limited",
      "position": "AI/ML Intern",
      "startDate": "2026-05",
      "endDate": "2026-07",
      "highlights": [
        "Engineered a nine-stage data-quality pipeline for 26,419 images across 8 fruit classes: label normalization, perceptual-hash leakage checks, annotation filtering and training-set balancing.",
        "Trained YOLOv8s for 120 epochs; 80.4% precision and 66.2% mAP@50 on 4,728 holdout images; diagnosed domain-shift failures on a separate 155-image synthetic webcam stress set."
      ]
    }
  ],
  "education": [
    {
      "institution": "Vellore Institute of Technology",
      "area": "Information Technology",
      "studyType": "B.Tech",
      "startDate": "2023",
      "endDate": "2027",
      "score": "8.74/10"
    }
  ],
  "awards": [
    {
      "title": "2nd place, IEEE CS Hackathon",
      "date": "2025-09",
      "summary": "Co-developed SpineGuard in a 5-member team"
    },
    {
      "title": "Finalist, Yantra Central Hackathon",
      "date": "2025-02",
      "summary": "Fingerprint spoofing detection"
    }
  ],
  "certificates": [
    {
      "name": "Building Agents with Agentic AI",
      "issuer": "IBM Career Education",
      "date": "2026-07"
    },
    {
      "name": "Getting Started with Deep Learning",
      "issuer": "NVIDIA Deep Learning Institute",
      "date": "2026-03"
    },
    {
      "name": "Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate",
      "issuer": "Oracle",
      "date": "2026-03"
    }
  ],
  "publications": [
    {
      "name": "Medication dispenser with on-device user authentication and medication verification (IN202641027860 A1)",
      "publisher": "Intellectual Property Office, India",
      "releaseDate": "2026-03-20",
      "url": "https://burntcookiedough.github.io/patents/01/IN202641027860A1.pdf",
      "summary": "A pill dispenser that recognises the patient's face, releases only their dose, then checks the pill with an on-device classifier before it is taken. Nothing leaves the device."
    },
    {
      "name": "Cognitive load-aware distributed task scheduling using hardware-bound processing control and predictive task migration (IN202641088096 A1)",
      "publisher": "Intellectual Property Office, India",
      "releaseDate": "2026-07-24",
      "url": "https://burntcookiedough.github.io/patents/02/IN202641088096A1.pdf",
      "summary": "A scheduler that reads how hard you are concentrating from keyboard, mouse and app-switching patterns, then holds back, slows or moves disruptive work to other machines until you surface."
    },
    {
      "name": "Zero-trust physical enclave security using continuous biometric entropy and RF-based perimeter monitoring (IN202641067209 A1)",
      "publisher": "Intellectual Property Office, India",
      "releaseDate": "2026-06-05",
      "url": "https://burntcookiedough.github.io/patents/03/IN202641067209A1.pdf",
      "summary": "A workstation that stays unlocked only while a live pulse is present and no unknown radio is nearby. Lose either, and the session keys are destroyed on the spot."
    }
  ],
  "skills": [
    {
      "name": "Languages",
      "keywords": [
        "Python",
        "C++",
        "SQL",
        "TypeScript"
      ]
    },
    {
      "name": "Applied AI",
      "keywords": [
        "Context engineering",
        "Prompt engineering",
        "Structured outputs",
        "LLM APIs",
        "Ollama"
      ]
    },
    {
      "name": "Agent tooling",
      "keywords": [
        "Claude Code",
        "Codex",
        "OpenCode",
        "Hermes Agent",
        "LangGraph"
      ]
    },
    {
      "name": "Machine learning",
      "keywords": [
        "PyTorch",
        "YOLO",
        "OpenCV",
        "Faster-Whisper",
        "CUDA"
      ]
    },
    {
      "name": "Backend and delivery",
      "keywords": [
        "FastAPI",
        "DuckDB",
        "SQLite",
        "Docker",
        "GitHub Actions",
        "Pytest"
      ]
    }
  ],
  "projects": [
    {
      "name": "Open source: repowise-dev/repowise",
      "description": "Merged pull request: fix(update): read stored health data from a configured database",
      "highlights": [
        "With the database configured through REPOWISE_DB_URL, four incremental loaders still checked for a repo-local .repowise/wiki.db that is absent by design, so every incremental update read no stored git metadata, callers or coverage. Gated them on the configured store instead; one regression test per loader fails on main and passes with the fix, and the 738 tests touching these loaders still pass. Fixes issue #2406."
      ],
      "keywords": [
        "Open source",
        "Python",
        "Testing"
      ],
      "url": "https://github.com/repowise-dev/repowise/pull/5399",
      "endDate": "2026-11-12"
    },
    {
      "name": "Eve — Windows Dictation",
      "description": "Hold a hotkey, speak, and your words land wherever you were typing. A shipped desktop app with offline speech recognition, a live overlay, searchable history and CPU/GPU fallback.",
      "highlights": [
        "Getting the model, the desktop runtime, session state and release packaging to behave as one product."
      ],
      "keywords": [
        "Faster-Whisper",
        "Electron",
        "TypeScript",
        "Python",
        "WebSocket"
      ],
      "url": "https://github.com/burntcookiedough/eve-windows-dictation"
    },
    {
      "name": "Customer Support Agents",
      "description": "A LangGraph system that classifies tickets, routes them to specialist agents, retrieves from a RAG store, remembers customers in SQLite and gates risky actions behind human approval.",
      "highlights": [
        "A supervisor node checks every answer, and refunds or cancellations wait for a human."
      ],
      "keywords": [
        "LangGraph",
        "RAG",
        "SQLite",
        "Python"
      ],
      "url": "https://github.com/burntcookiedough/abc-customer-support-langgraph"
    },
    {
      "name": "Stella — Health Analytics",
      "description": "Health analytics over wearable exports: FastAPI, React + Vite, DuckDB, and an Ollama-backed LLM layer for chat and reports that degrades cleanly to metrics-only.",
      "highlights": [
        "The LLM is a feature, not a dependency. The product still works when the model isn't there."
      ],
      "keywords": [
        "FastAPI",
        "React",
        "DuckDB",
        "Ollama"
      ],
      "url": "https://github.com/burntcookiedough/Stella"
    },
    {
      "name": "Cognitive Load-Aware Scheduler",
      "description": "Routes work using both machine state and a live Cognitive Load Score from typing variance, idle time and context switches, with flow-state protection and a baseline comparison.",
      "highlights": [
        "Optimises the human + machine system, not just the infrastructure. Patented."
      ],
      "keywords": [
        "Python",
        "Telemetry",
        "Scheduling",
        "Analytics"
      ],
      "url": "https://github.com/burntcookiedough/Cognitive-Load-Aware-Distributed-Task-Scheduler"
    },
    {
      "name": "Real-Time Predictive Maintenance",
      "description": "Kafka, Spark, Cassandra, PyTorch and graph analytics across 5,000 simulated machines: streaming anomaly detection plus cascade-failure analysis and constrained mitigation.",
      "highlights": [
        "Model output is wired into a live data path and downstream decisions, not left in a notebook."
      ],
      "keywords": [
        "Kafka",
        "Spark",
        "Cassandra",
        "PyTorch"
      ]
    },
    {
      "name": "Physically-Bounded Mode Discovery",
      "description": "HDBSCAN proposes operating regimes on NASA CMAPSS and CWRU while physics constraints reject implausible clusters.",
      "highlights": [
        "A cluster isn't accepted because a metric likes it. It also has to make physical sense."
      ],
      "keywords": [
        "HDBSCAN",
        "scikit-learn",
        "Python"
      ],
      "url": "https://github.com/burntcookiedough/Physical-Bounded-Multimodal-Mode-Discovery"
    },
    {
      "name": "Veri-Dose",
      "description": "Medication verification with a quantized MobileNetV2 that knows when it's unsure: low-confidence predictions go to a human instead of pretending certainty.",
      "highlights": [
        "Calibrated confidence and a fallback path, built into the product. Patent IN202641027860 A1."
      ],
      "keywords": [
        "MobileNetV2",
        "TFLite",
        "Calibration",
        "Python"
      ],
      "url": "https://github.com/burntcookiedough/Veridose"
    },
    {
      "name": "SecureTorrent",
      "description": "Malware-aware torrent security: YARA rules, a hybrid ML detector, qBittorrent integration and an API test suite.",
      "highlights": [
        "Signatures catch the known threats and the model covers the rest."
      ],
      "keywords": [
        "YARA",
        "scikit-learn",
        "Flask"
      ],
      "url": "https://github.com/burntcookiedough/SecureTorrent"
    }
  ],
  "meta": {
    "canonical": "https://burntcookiedough.github.io/resume.json",
    "lastModified": "2026-11-14"
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}