resume.json

resume.json

{
  "basics": {
    "name": "Marko Budišić",
    "label": "Staff / Principal Technical Leader — Robotics, AI/ML, Systems Engineering",
    "email": "[email protected]",
    "phone": "(805) 452-1480",
    "summary": "Senior individual contributor operating at the intersection of hands-on systems engineering, applied AI/ML, and early-stage product definition. Specializes in turning ambiguous, high-stakes problems into working, auditable prototypes—particularly in robotics and regulated industrial environments. Trusted technical lead who bridges operators, engineers, and leadership by grounding strategy in evidence, prototypes, and operational reality rather than slideware.\n\nPrimary operating mode: Senior / Staff-level Individual Contributor. Secondary modes: Technical Program Leadership, Team Mentorship (hands-on).\n\nOpen to Individual Contributor [IC], Technical Portfolio Manager [TPM], or Engineering Manager [EM] roles.",
    "location": {
      "city": "",
      "region": "Central Virginia",
      "countryCode": "US"
    },
    "profiles": [
      {
        "network": "LinkedIn",
        "username": "mbudisic",
        "url": "https://linkedin.com/in/mbudisic"
      },
      {
        "network": "GitHub",
        "username": "mbudisic",
        "url": "https://github.com/mbudisic/"
      },
      {
        "network": "Google Scholar",
        "username": "Marko Budisic",
        "url": "https://scholar.google.com/citations?hl=en&user=acUCwOMAAAAJ"
      }
    ]
  },
  "work": [
    {
      "name": "Framatome, Inc.",
      "position": "Principal Design Engineering Specialist II",
      "url": "https://framatome.com",
      "startDate": "2023-06-01",
      "summary": "Lead cross-functional delivery of ML-powered 3D perception, robotics autonomy, and AI-enabled inspection systems for regulated industrial environments.",
      "highlights": [
        "[IC] Point-cloud, mesh, and vision pipelines for robotic inspection platforms; evaluated performance and failure modes on representative datasets.",
        "[IC] ROS2-based sensor fusion, localization, and navigation prototypes for GPS-denied environments.",
        "[IC] Simulator-in-the-loop test harnesses for early robotics and perception validation without hardware.",
        "[IC] Dataset curation and preprocessing pipelines for reproducible model training and evaluation.",
        "[IC] Field data pipelines for non-destructive examination; integrated T-SQL, C#, C++, VBA, Python, and PowerBI applications.",
        "[FieldOps] Live inspection support during nuclear outages; inspection planning, database integrity, certification workflows, operator handoffs.",
        "[TPM] Pilot scoping and evaluation criteria for AI/ML and robotics inspection initiatives; defined risk-reduction pathways.",
        "[TPM] Low-risk AI opportunities framed as trust-building steps toward autonomy.",
        "[EM] Mentored engineers and interns via design and code reviews; emphasized reproducibility, documentation, and system thinking.",
        "[EM] Development practices improving traceability and auditability of software and ML artifacts in regulated environments."
      ]
    },
    {
      "name": "Clarkson University",
      "position": "Assistant Professor of Mathematics",
      "url": "https://www.clarkson.edu",
      "startDate": "2016-07-01",
      "endDate": "2023-05-01",
      "summary": "Led applied mathematics research and education bridging theory, computation, and data-driven modeling.",
      "highlights": [
        "[IC] Time-series analysis, reduced-order modeling, and data-driven discovery codebases in MATLAB, C++, and Python.",
        "[IC] Surrogate models and simulation workflows cutting compute cost for uncertainty propagation and batch experiments.",
        "[TPM] Multi-year research roadmaps and grant programs; coordinated collaborators and aligned goals to funding constraints.",
        "[TPM] Theoretical results translated into applied ML and engineering demos for industry collaborations.",
        "[EM] Mentored ~15 researchers including PhD students; advised projects from ideation to publication and career transition.",
        "[EM] Graduate Program Director; balanced faculty workload, student outcomes, and curriculum evolution for ~15 faculty and ~30 students.",
        "[EM] Invited tutorials and plenary talks; Outstanding New Teacher Award for teaching and mentorship."
      ]
    },
    {
      "name": "University of California, Santa Barbara",
      "position": "Researcher in Mechanical Engineering",
      "url": "https://www.ucsb.edu",
      "startDate": "2007-01-01",
      "endDate": "2012-07-01",
      "summary": "Research in control, simulation, and machine learning for nonlinear dynamical systems and fluid and geophysical flows.",
      "highlights": [
        "[IC] Simulation and ML workflows for nonlinear system identification and state estimation in C++, MATLAB, and Python.",
        "[IC] Koopman-operator and blind-decomposition methods for structure discovery in complex time-series data.",
        "[TPM] Multi-stakeholder research reviews and technical briefings for government-funded programs.",
        "[EM] Mentored junior researchers; structured milestones, code reviews, and reproducible research practices."
      ]
    },
    {
      "name": "Liva d.o.o.",
      "position": "Control Design Engineer",
      "startDate": "2005-09-01",
      "endDate": "2006-07-01",
      "summary": "Designed and deployed industrial automation control systems for pharmaceutical manufacturing.",
      "highlights": [
        "[IC] Petri-net control logic and Siemens STEP7 PLC systems for automated conveyor operations.",
        "[IC] System validation, operating logic documentation, and runbooks for operators and maintenance teams.",
        "[FieldOps] On-site commissioning, troubleshooting, and tuning during live production deployment."
      ]
    }
  ],
  "projects": [
    {
      "name": "Technical Program & Portfolio Leadership (Selected)",
      "startDate": "2024-12-01",
      "description": "Selected TPM scope and sequencing across robotics, AI/ML, and software initiatives.",
      "highlights": [
        "Framed and sequenced $750k+/year R&D portfolio across robotics, AI/ML, and software initiatives.",
        "Defined pilot success criteria and risk-reduction milestones for robotics autonomy, process observabilty and monitoring, AI-based applications, and structure from video projects.",
        "Aligned operators, engineers, management, and sales through evidence-backed prototypes."
      ]
    },
    {
      "name": "Robotic 3D Inspection & Localization Platform",
      "startDate": "2023-06-01",
      "description": "Exploratory modernization of robotic inspection systems using ML-powered 3D perception and ROS2-based architectures.",
      "highlights": [
        "Developed point-cloud and vision pipelines for localization and defect detection in constrained industrial environments.",
        "Demonstrated feasibility via simulation-first prototypes before hardware deployment.",
        "Used prototypes as evidence to align stakeholders and establish a credible autonomy roadmap."
      ]
    },
    {
      "name": "Agentic RAG Prototype for Technical Archives",
      "startDate": "2025-02-01",
      "endDate": "2025-03-01",
      "description": "Prototype agentic retrieval system to extract knowledge from technical video and document archives.",
      "highlights": [
        "Implemented multi-stage RAG pipelines using LangChain, Ollama, and vector databases.",
        "Integrated evaluation tooling to measure retrieval quality and failure modes.",
        "Positioned prototype as a low-risk productivity multiplier for domain experts."
      ]
    },
    {
      "name": "braidlab (Open Source)",
      "startDate": "2013-01-01",
      "endDate": "2016-06-01",
      "description": "Open-source MATLAB/C++ package for topological analysis of dynamical systems.",
      "highlights": [
        "Developed core algorithms and maintained releases and documentation.",
        "Project became foundational tooling for applied topology and geometric ML research."
      ]
    }
  ],
  "education": [
    {
      "institution": "AI Makerspace",
      "area": "Artificial Intelligence Engineering",
      "studyType": "10-week Hands-on Course",
      "startDate": "2025-04-01",
      "endDate": "2025-06-15",
      "courses": [
        "Agentic LLM",
        "RAG systems with LangChain, LangSmith, and local model serving"
      ]
    },
    {
      "institution": "University of California, Santa Barbara",
      "area": "Mechanical Engineering",
      "studyType": "PhD",
      "startDate": "2007-01-01",
      "endDate": "2012-01-01",
      "courses": [
        "Data Mining in Physics Simulation",
        "Nonlinear Dynamics and Chaos",
        "Control System Theory",
        "Numerical Simulation Algorithms",
        "Parallel Computing",
        "Real and Functional Analysis"
      ]
    },
    {
      "institution": "University of Zagreb",
      "area": "Electrical Engineering",
      "studyType": "Dipl.Eng / MS",
      "startDate": "2001-01-01",
      "endDate": "2006-01-01",
      "courses": [
        "Mobile robotics",
        "Industrial robotics",
        "Digital Signal Processing",
        "Embedded Systems",
        "Control Engineering"
      ]
    }
  ],
  "skills": [
    {
      "name": "Robotics Systems Engineering",
      "level": "Expert",
      "keywords": [
        "ROS2",
        "Localization & SLAM",
        "Sensor fusion",
        "Simulation-to-real",
        "Human-in-the-loop systems",
        "Field deployment"
      ]
    },
    {
      "name": "Applied AI & Machine Learning",
      "level": "Expert",
      "keywords": [
        "Perception models",
        "Evaluation & validation",
        "MLOps",
        "Active learning",
        "Auditable AI",
        "RAG systems"
      ]
    },
    {
      "name": "Modeling, Simulation & Data",
      "level": "Expert",
      "keywords": [
        "Dynamical systems",
        "Reduced-order modeling",
        "Statistical inference",
        "Time-series analysis",
        "Digital twins"
      ]
    },
    {
      "name": "Software Engineering",
      "level": "Advanced",
      "keywords": [
        "Python",
        "C++",
        "CI/CD",
        "Containerization",
        "Testing",
        "Scientific computing"
      ]
    },
    {
      "name": "Technical Leadership",
      "level": "Expert",
      "keywords": [
        "Exploratory prototyping",
        "R&D roadmapping",
        "Stakeholder alignment",
        "Mentorship",
        "Regulated environments"
      ]
    }
  ],
  "languages": [
    {
      "language": "English",
      "fluency": "Fluent"
    },
    {
      "language": "Croatian",
      "fluency": "Native"
    }
  ],
  "certificates": [
    {
      "name": "PowerBI Bootcamp",
      "issuer": "Cprime Labs",
      "date": "2025-12-01",
      "url": "https://www.cprime.com/learning/courses/microsoft-power-bi-boot-camp/"
    },
    {
      "name": "Certified AI Engineer",
      "issuer": "AI Makerspace",
      "date": "2025-06-01",
      "url": "https://drive.google.com/file/d/119QYh0mbX8nXqvt-s9WgesD5YrtRf393/view"
    }
  ],
  "meta": {
    "lastModified": "2026-01-08T04:46:08Z",
    "canonical": "https://jsonresume.org/schema"
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}