resume.json

resume.json

{
  "basics": {
    "name": "Marko Budišić",
    "label": "Staff / Principal Technical Leader — Robotics, AI/ML, Systems Engineering",
    "email": "mbudisic@gmail.com",
    "phone": "(805) 452-1480",
    "url": "https://github.com/mbudisic/",
    "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\nOpen to Individual Contributor [IC], Technical Portfolio Manager [TPM], or Engineering Manager [EM] roles.",
    "location": {
      "city": "Central Virginia",
      "region": "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] Prototyped and integrated perception pipelines for point-cloud, mesh, and visual data used in robotic inspection platforms; evaluated performance, limitations, and failure modes on representative datasets.",
        "[IC] Developed and experimented with sensor-fusion, localization, and navigation components integrated with ROS2 for operation in GPS-denied, constrained environments.",
        "[IC] Built simulator-in-the-loop test harnesses to support early validation and iteration of robotics and perception software without reliance on physical hardware.",
        "[IC] Developed data pipelines for dataset curation and preprocessing to support reproducible model training and evaluation during R&D.",
        "[IC] Developed data pipelines supporting field operations in non-destructive examination of steam generators, developing and integrating applications written in T-SQL, C#, C++, VBA, Python, and PowerBI.",
        "[FieldOps] Supported live inspection deployments during nuclear power plant outages; assisted with inspection planning, database integrity, quality certification workflows, and operator handoffs under regulatory procedures.",
        "[TPM] Contributed to shaping technical direction and sequencing for AI/ML- and robotics-enabled inspection initiatives by scoping pilots, defining evaluation criteria, and articulating risk-reduction pathways.",
        "[TPM] Identified and framed low-risk AI opportunities (e.g., automation of expert administrative tasks) as trust-building steps toward broader autonomy.",
        "[EM] Mentored engineers and interns through design reviews and code reviews, emphasizing reproducibility, documentation, and system-level thinking.",
        "[EM] Introduced and refined development practices aimed at improving traceability and auditability of software and ML artifacts in a regulated environment."
      ]
    },
    {
      "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] Led algorithm and software development for time-series analysis, reduced-order modeling, and data-driven discovery; produced robust MATLAB, C++, and Python codebases.",
        "[IC] Developed surrogate models and simulation workflows enabling orders-of-magnitude reductions in computational cost for uncertainty propagation and batch experiments.",
        "[TPM] Directed multi-year research programs and grant proposals; developed roadmaps, coordinated collaborators, and aligned research goals with funding constraints.",
        "[TPM] Translated theoretical results into applied ML and engineering demonstrations for industry-facing collaborations.",
        "[EM] Mentored ~15 researchers including PhD students; advised thesis projects from ideation through publication and career transition.",
        "[EM] Served as Graduate Program Director, balancing faculty workload, student outcomes, and curriculum evolution for ~15 faculty and ~30 graduate students",
        "[EM] Delivered invited tutorials and plenary talks; received an Outstanding New Teacher Award for excellence in 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] Implemented simulation and ML workflows for nonlinear system identification and state estimation using C++, MATLAB, and Python.",
        "[IC] Developed and validated Koopman-operator and blind-decomposition methods for discovering structure in complex time-series data.",
        "[TPM] Coordinated multi-stakeholder research reviews for government-funded projects and prepared technical briefings for program officers.",
        "[EM] Mentored junior researchers and students; 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] Designed Petri-net-based control logic and implemented Siemens STEP7 PLC systems for automated conveyor operations.",
        "[IC] Validated system behavior, documented operating logic, and produced runbooks for operators and maintenance teams.",
        "[FieldOps] Performed on-site commissioning, troubleshooting, and tuning during initial deployment in live production environments."
      ]
    }
  ],
  "projects": [
    {
      "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": "2026-01-05T21:43:51Z",
    "canonical": "https://jsonresume.org/schema"
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}