aadit agrawal

research and writing

jun 2024 - jul 2025

FL + Digital Twin for Route Optimisation at SCE, MAHE

GPS telemetry at 500K+ datapoints; dashcam CV with OpenCV + YOLO on 12,000+ labelled samples. Built a federated learning pipeline for privacy-preserving route optimisation across distributed edge nodes.

sep 2025 - now

ECITIS Technical Blog, 18 Published Guides at Dr. TMA Pai Endowment Chair, MAHE

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.

pick your flavor.

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