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Shah Mohammed SeamanSoftware Engineer & AI Researcher

Shah Mohammed Seaman

Software Engineer, AI Researcher & Robotics Specialist

📍 Dhaka, Bangladesh•🌐 shah-mohammed-seaman.me
GitHub: github.com/SSea-manLinkedIn: linkedin.com/in/smsmanEmail: sseaman211067@bscse.uiu.ac.bd
Official CV Document: Available Upon Request

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Academic Affiliations & Education

United International University (UIU)

Dhaka, Bangladesh
Department of Computer Science & Engineering
Undergraduate Student / Researcher • Status: Active

Focusing on Autonomous Systems, Computer Vision, and Physical Digital Twins.

UIU AURA Crew Robotics

Dhaka, Bangladesh
Autonomous Systems & Robotics Division
Robotics Kinematics & Autonomous Systems Engineer • Status: Active

Contributed to underwater Remotely Operated Vehicle (ROV Scorpion 2.0) control systems and sensor telemetry.

Technical Competencies & Toolchains

Simulation, Graphics & Digital Twins:Three.js • React Three Fiber (R3F) • WebGL & GLSL Shaders • Deterministic A* Routing • Spatial Partitioning & Collision • State Synchronization (Zustand) • 60 FPS Browser Optimization
Artificial Intelligence & Vision:PyTorch & TorchScript • 3D Gaussian Splatting (gsplat) • Transformer Architectures • Diffusion Tensor Imaging (DIPY) • Layout Intelligence (PP-Structure) • Neural OCR (PaddleOCR / EasyOCR) • Signal Processing (Wavelet / FFT)
Robotics & Autonomous Systems:Robotics Kinematics & Vectoring • MAVLink / PX4 Telemetry • Underwater ROV Control Systems • Sensor Ingestion & Streaming • Embedded Systems Integration • Deterministic State Machines
Software & Systems Engineering:Python 3.11+ • TypeScript & JavaScript (ES2022) • C / C++ • FastAPI & Asynchronous Python • Next.js & React 18/19 • WebSockets & Event Streams • Docker & Linux Environments • Git & GitHub Actions CI/CD

Selected Engineering Systems & Research (Verified)

WareTwin: Autonomous Drone Airbase Digital Twin

Digital Twins & Simulation • 2024

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.

Key Stack:React 18Three.js / React Three FiberWebGLZustandFastAPI[Live 3D WebGL Demo ↗]

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.

Key Stack:PyTorchFreeSurfer fsaverage5DIPY (Diffusion Imaging in Python)Three.js / WebGLFastAPI

3D Gaussian Splatting Desktop Engine

AI & Computer Vision • 2024

A desktop 3D Gaussian Splatting viewer supporting millions of Gaussians with an automated pre-flight CUDA diagnostic and graceful CPU depth-sorting fallback.

Key Stack:PySide6 (Qt)PyTorchgsplat LibraryCUDASpherical Harmonics

ROV Scorpion 2.0: Marine Robotics Platform

Robotics & Kinematics • 2023

An underwater Remotely Operated Vehicle platform developed with UIU AURA Crew Robotics for submerged inspection, sensor telemetry, and multi-thruster vectoring control.

Key Stack:C / C++Embedded MicrocontrollersThruster Vectoring KinematicsSensor Telemetry PipelinesSerial / UDP Communications

Document Layout Intelligence & Neural OCR

AI & Computer Vision • 2024

Transforms raw documents into structured JSON with bilingual neural OCR, region semantic classification, SLANet table extraction, and multi-column reading order reconstruction.

Key Stack:Python 3.11PaddleOCR & EasyOCRPP-StructureV2PicoDet-LCNetSLANet (Table Structure)

Formal Experience & Industry Appointments

[Pending Verification Placeholder]

No corporate employment history has been claimed or fabricated. Current active software and robotics engineering engagements are listed above under Academic Affiliations & Selected Engineering Systems.

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Honors, Competitions & Awards

[Pending Verification Placeholder]

Competitive robotics recognitions and academic honors will be populated once explicitly confirmed.

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Direct Inquiries & Full Dossier Requests

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