Autonomous Systems & Software Engineer specializing in 3D digital twins, physical simulation, and computer vision.
Bridging physical dynamics and deterministic computation through real-time 3D simulation, browser-native digital twins, and autonomous robotic control architectures.
Focused research and systems development across high-performance physical simulation, autonomous robotics, and neural vision.
Architecting full-scale industrial and aerospace digital twins. Simulating multi-agent deterministic routing, robotic fabrication cells, and airport runway telemetry with sub-millisecond coordination.
Designing thruster vectoring matrices for marine ROVs, autonomous flight controllers, MAVLink/PX4 operations telemetry pipelines, and real-time physical sensor acquisition.
Implementing CUDA-accelerated 3D Gaussian Splatting viewers, FreeSurfer cortical tractography and connectomics simulators, and layout-aware bilingual OCR engines with deep transformer backbones.
Production-grade physical digital twins, robotics kinematics platforms, and neural rendering tools built with rigorous architectural standards.
A high-fidelity 3D digital twin simulating a 6-stage robotic manufacturing pipeline, 160-bay fleet docking, deterministic Runway 09/27 flight operations, and real-time PX4 telemetry.
Transforms raw MRI, fMRI, and DTI neuroimaging data into an interactive computational digital twin representing cortical surfaces, 3D white-matter tractography, and structural lesion simulations.
A desktop 3D Gaussian Splatting viewer supporting millions of Gaussians with an automated pre-flight CUDA diagnostic and graceful CPU depth-sorting fallback.
An underwater Remotely Operated Vehicle platform developed with UIU AURA Crew Robotics for submerged inspection, sensor telemetry, and multi-thruster vectoring control.
Verified technical proficiencies across spatial computing, systems programming, and machine learning architectures.
Current undergraduate research and robotics divisions at United International University.
Focusing on Autonomous Systems, Computer Vision, and Physical Digital Twins.
Contributed to underwater Remotely Operated Vehicle (ROV Scorpion 2.0) control systems and sensor telemetry.
In accordance with strict personal branding integrity standards, no unverified employment or degree records are fabricated. Official CV documents are supplied upon direct request for recruitment, laboratory positions, and graduate admissions.
Available for software engineering roles, autonomous robotics projects, physical digital twin consulting, and research collaborations.
Whether you are an international recruiter, engineering team lead, or academic laboratory investigator, feel free to reach out directly.
Target Domain: shah-mohammed-seaman.me • Vercel + GitHub