AMIRREZA — MECH. ENGINEERING × APPLIED ML — KAISERSLAUTERN, DE

Where surfaces meet signals.

I build physics-informed models and explainable ML for industrial systems — reading the data that friction, wear, and vibration leave behind.

FIG. 01 — SURFACE PROFILE / TIME SERIES

Projects

FIG. 02
01 · RESEARCH

LSTM Surrogate Modeling for Dry Gas Seals

Master's thesis on simulation–experiment deviations, with Temporal Integrated Gradients for feature attribution.

EDIT: link repo / writeup →
02 · BUILD

Raspberry Pi Voice Assistant

A hands-on home-automation build, voice-controlled, running fully on-device.

EDIT: link repo / demo →
03 · SYSTEMS

Industrial Edge Pipelines

MQTT / 5G edge pipelines bridging sensor streams and ML inference on the shop floor.

EDIT: link details →

04 · open slot — duplicate this card for your next project

Outside the lab

FIG. 03

Photography

EDIT: swap in a few frames or a gallery link.

Sports Tracking

EDIT: training notes or a watch/data writeup.

Arsenal FC

EDIT: matchday takes, or drop this card.

Resume

FIG. 04

M.Sc. Mechanical Engineering (Applied Computer Science), RPTU Kaiserslautern — physics-informed ML, tribology, and industrial data systems.

↓ DOWNLOAD_CV.PDF — edit link