CV
Milad Mesbahi
Summary
Masters student in Robotics at the University of Pennsylvania. Currently working as a GNC intern on the Engines team at Blue Origin and researching multi-agent RL in the context of spatiotemporal mapping under Dr. George Pappas. Previous experiences include an internship at NASA JPL, fluid dynamics research at UCLA under Dr. Sungtaek Ju, and co-founding a social networking platform at UCLA that grew to 4000 students. Applying for PhD programs starting Fall 2026.
Education
- M.S. in RoboticsMay 2026University of PennsylvaniaCourses: Introduction to Robotics, Machine Learning, Machine Perception, Advanced Robotics, Bayesian Optimization, Modern Convex Optimization
- B.S. in Mechanical EngineeringJune 2024University of California, Los AngelesCourses: Engineering Mathematics, Statics & Structures, Dynamics of Rigid Bodies, Fluid Dynamics (Introduction & Elective), Materials Science, Manufacturing (Nanoscale & Nominal), Heat Transfer, Thermodynamics (Introduction & Elective), Electronics/Circuits, Dynamical Systems Modeling, Feedback & Controls, Compliant Mechanisms, Computer-Aided Design, C++ (Intro & Advanced), Engineering Management/Finance
Work Experience
- GNC Intern, Engines TeamMay 2025 - August 2025Blue OriginContributing to control systems analysis and modeling within the Engines team.
- Simulink & MATLAB
- Work is ongoing and governed by proprietary confidentiality
- Graduate ResearcherAugust 2024UPenn GRASP Lab (Dr. George Pappas)Developing multi-agent reinforcement learning frameworks for adaptive salinity mapping with robotic AUVs in highly dynamic coastal environments. Emphasis on spatial-temporal uncertainty reduction, efficient exploration, and coordination under limited sensing and energy constraints.
- Deep learning methods
- Gaussian process regression
- Neural network with uncertainty-aware reward design
- Energy-constrained and dynamics embedded
- Mechanical Engineering InternJune 2023 - September 2023NASA Jet Propulsion Laboratory (JPL)Designed and evaluated chainmail-based damping structures for aerospace vibration mitigation using experimental testing and FEM simulations.
- Achieved up to 98% vibration attenuation with novel mechanical metamaterials
- Performed modal analysis and signal processing (MATLAB) across random vibration spectra
- Undergraduate ResearcherJanuary 2022 - June 2024UCLA Thermosciences Lab (Dr. Sungtaek Ju)Led experimental research on how string tension and morphology influence fluid dynamics in liquid desiccant systems. Developed custom image processing tools and designed precise test setups to advance the lab's core research.
- Engineered experimental rigs to study tension effects on bead formation and flow behavior
- Built MATLAB image-processing algorithms to automate curvature and fluid flow analysis
- Tutorialized the lab setup and tools for future students
- Co-founderAugust 2024MAYA (Me and You Always)Founded a student-facing platform focused on building a community at UCLA. Self-directed development in front-end web design, UI/UX, and user growth strategy.
- Built and launched app, continuously going through product iteration cycles. Peaked at 4,000+ active student users
- Led product, design, and outreach.
Skills
Programming
- Python
- MATLAB
- C++
- Git
- Web Dev (JavaScript, CSS, HTML)
Robotics
- Machine Learning
- Convex Optimization Methods
- Computer Vision
- Deep Learning/RL
- Bayesian Optimization
Tools & Platforms
- ROS
- Gazebo
- PyTorch
- Solidworks/NX
- CVXPY
- Simulink
Engineering Design & Manufacturing
- Signal Processing
- CAD (FEA/FEM)
- 3D Printing
- Milling/Lathing
- FACT Compliant Design
Portfolio
- Refer to Portfolio pageCollection of robotics, research, and engineering projects
Languages
- EnglishNative
- FarsiFluent (illiterate)
- SpanishIntermediate
References
- Available upon request