×
Marko Budišić

Marko Budišić

Staff / Principal Technical Leader — Robotics, AI/ML, Systems Engineering

Central Virginia, US
(805) 452-1480
English, Croatian

Background


About

About

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.

Primary operating mode: Senior / Staff-level Individual Contributor. Secondary modes: Technical Program Leadership, Team Mentorship (hands-on).

Open to Individual Contributor [IC], Technical Portfolio Manager [TPM], or Engineering Manager [EM] roles.

Work Experience

Work Experience

  • Principal Design Engineering Specialist IIFramatome, Inc.

    Jun, 2023 - Present

    Lead cross-functional delivery of ML-powered 3D perception, robotics autonomy, and AI-enabled inspection systems for regulated industrial environments.

    • [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.

  • Assistant Professor of MathematicsClarkson University

    Jul, 2016 - May, 20236 years 10 months

    Led applied mathematics research and education bridging theory, computation, and data-driven modeling.

    • [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.

  • Researcher in Mechanical EngineeringUniversity of California, Santa Barbara

    Jan, 2007 - Jul, 20125 years 6 months

    Research in control, simulation, and machine learning for nonlinear dynamical systems and fluid and geophysical flows.

    • [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.

  • Control Design Engineer, Liva d.o.o.

    Sep, 2005 - Jul, 200610 months

    Designed and deployed industrial automation control systems for pharmaceutical manufacturing.

    • [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 Experience

Projects Experience

  • Technical Program & Portfolio Leadership (Selected)

    Dec, 2024 - Present

    Selected TPM scope and sequencing across robotics, AI/ML, and software initiatives.

    • 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.

  • Robotic 3D Inspection & Localization Platform

    Jun, 2023 - Present

    Exploratory modernization of robotic inspection systems using ML-powered 3D perception and ROS2-based architectures.

    • 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.

  • Agentic RAG Prototype for Technical Archives

    Feb, 2025 - Mar, 20251 month

    Prototype agentic retrieval system to extract knowledge from technical video and document archives.

    • 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.

  • braidlab (Open Source)

    Jan, 2013 - Jun, 20163 years 5 months

    Open-source MATLAB/C++ package for topological analysis of dynamical systems.

    • Developed core algorithms and maintained releases and documentation.

    • Project became foundational tooling for applied topology and geometric ML research.

Skills

Skills

  • Robotics Systems Engineering

    ROS2

    Localization & SLAM

    Sensor fusion

    Simulation-to-real

    Human-in-the-loop systems

    Field deployment

  • Applied AI & Machine Learning

    Perception models

    Evaluation & validation

    MLOps

    Active learning

    Auditable AI

    RAG systems

  • Modeling, Simulation & Data

    Dynamical systems

    Reduced-order modeling

    Statistical inference

    Time-series analysis

    Digital twins

  • Software Engineering

    Python

    C++

    CI/CD

    Containerization

    Testing

    Scientific computing

  • Technical Leadership

    Exploratory prototyping

    R&D roadmapping

    Stakeholder alignment

    Mentorship

    Regulated environments

Education

Education

  • Artificial Intelligence Engineering, 10-week Hands-on Course, AI Makerspace

    Apr, 2025 - Jun, 2025

    Agentic LLM

    RAG systems with LangChain, LangSmith, and local model serving

  • Mechanical Engineering, PhD, University of California, Santa Barbara

    Jan, 2007 - Jan, 2012

    Data Mining in Physics Simulation

    Nonlinear Dynamics and Chaos

    Control System Theory

    Numerical Simulation Algorithms

    Parallel Computing

    Real and Functional Analysis

  • Electrical Engineering, Dipl.Eng / MS, University of Zagreb

    Jan, 2001 - Jan, 2006

    Mobile robotics

    Industrial robotics

    Digital Signal Processing

    Embedded Systems

    Control Engineering

Certificates

Certificates