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SYSTEMS ENGINEERING
Automotive AI Memory Optimizer
High-level systems engineering: optimizing memory usage for AI workloads running on resource-constrained automotive platforms.
Systems EngineeringAI WorkloadsMemory OptimizationAutomotive
◈ IMAGE: architecture diagram or dashboard screenshot
## Problem
Modern vehicles run increasingly heavy AI workloads on tightly constrained embedded compute. Memory is a hard limit — and inefficient usage means dropped features, higher hardware cost, or failed real-time deadlines.
## Solution
A systems-level approach to profiling and optimizing memory consumption of AI components on automotive platforms.
## Features
- TODO: memory profiling across AI modules
- TODO: optimization strategy + measured savings
## Tech Stack
C / C++Embedded LinuxProfiling Tools
## Challenges
- TODO
## Lessons Learned
- TODO