Aadit Agrawal

GPS telemetry pipeline (500K+ datapoints); dashcam CV via OpenCV + YOLO - 12,000+ labelled samples. Built a Federated Learning pipeline for privacy-preserving route optimization across distributed edge nodes. 2 publications in progress.

Authored long-form technical references on: TensorRT-LLM/Triton production serving, AMD ROCm, Apple MLX, RLHF/DPO, MoE architectures, edge AI, LLM fine-tuning (LoRA/QLoRA), HPC optimization, and VLMs.