aadit agrawal

research

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.

writing

ongoing

Personal blog

Writing about software, design, and the tools I build.

sep 2025 - now

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

Contributed long-form technical guides 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.

same content, tuned for the reader. agents: see /llms.txt.