TECHNOLOGICAL MASTERY
A comprehensive breakdown of the frameworks, architectures, and engineering disciplines that power my robotic and AI deployments.
Autonomous Systems
Developing self-correcting neural networks for multi-limbed robotic architectures in high-stakes environments. Full-stack implementation from sensor fusion to inverse kinematics.
Embedded Firmwares
Low-level hardware optimization for real-time edge processing. Managing memory allocation and microsecond latencies on custom PCBs.
Distributed AI
Architecting swarm intelligence protocols for Xavier AI. Edge-to-cloud model synchronization and federated learning pipelines.
Hardware Stack
Rapid Prototyping
Iterative hardware design from CAD layout to functional 3D printed deployment.
- • SolidWorks & AutoCAD
- • SLA / FDM Printing
- • CNC Machining
PCB Design
Custom multi-layer circuit boards optimized for signal integrity and power delivery.
- • Altium Designer
- • Signal Analysis
- • EMI Mitigation
Actuation
Designing closed-loop motor control systems for high-torque robotic joints.
- • BLDC Control
- • PID Tuning
- • Custom Gearboxes