Ghaith Ale

On-Device Android Architecture

May 2026 - Jun 2026 • 1 mo

Android Privacy Application: Built an on-device body-blurring tool to hide clothes using a custom segmentation model, achieving 27+ FPS on low-power mobile CPUs via XNNPACK acceleration and frame buffers.

C++ Inference Framework

Apr 2026 - May 2026 • 1 mo

• ONNXBenchmarking Utilities: Developed a low-overhead, multi-threaded C++ helper framework to evaluate models and streamline ONNX Runtime deployment workflows. • Hardware Provider Auditing: Programmed initialization routines that query model metadata to extract structural configurations and bind available execution providers (CPU, CUDA, TensorRT). • Profiling Pipelines: Built benchmarking workflows supporting deterministic latency evaluation for single-image inference and live video streams to isolate model throughput metrics. • Runtime Threading Pools: Implemented asynchronous producer-consumer threading loops and pinned-memory allocation schemas to reduce OS-level cache misses and I/O decoding bottlenecks.

Lead Perception Engineer

Jan 2025 - Mar 2026 • 1 yr 2 mos

• Automated Driver Assessment: Programmed temporal rule engines to evaluate driver traffic behaviors, specifically tracking lane-change execution safety, head-pose mirror checks, indicator usage cycles, and active compliance with traffic lights and regulatory road signs. • Behavioral Compliance Fusion: Synchronized real-time Traffic Sign Recognition (TSR) and multi-state Traffic Light Classification models with time-series CAN-bus vehicle telemetry (velocity, indicators, brake status) and HD-map spatial priors to grade traffic rule adherence. • Multi-Camera Model Training: Trained and deployed distinct deep learning models optimized for specific camera placements, separating interior cabin-monitoring tasks from exterior surrounding-area perception updates. • Geometric Monocular Modeling: Combined deep learning perception outputs with camera intrinsics and horizon stability checks to execute 3D ground-plane object distance estimation (X,Z) assuming flat-ground geometry. • System Architecture & Memory Optimization: Deployed a split-compute edge network across a 10-vehicle fleet via VPN, implementing a zero-allocation host memory pipeline to eliminate frame accumulation latency (6×21 FPS per vehicle). Engineered an end-to-end custom GStreamer plugins; developed low-overhead C++ meta-data parsing modules to inject synchronized CAN-bus telemetry directly into the inference stream.