Yaoqiao Sha

M.Sc. Computer Science · Autonomous Systems · University of Stuttgart

Applied AI, knowledge graphs, edge-AI deployment. Currently in a cross-disciplinary M.Sc. lab applying knowledge graphs to architectural building representation. Open-source contributor to NumPy. Seeking a Master Thesis (industry-affiliated preferred) starting October or November 2026.

github.com/Noxaster linkedin.com/in/yaoqiaosha shayaoqiao@gmail.com

What I am working on now

Lab Course AI: Knowledge Representation for Buildings (M.Sc., University of Stuttgart, 2026 in progress). Cross-disciplinary group project with architecture students. I proposed our group's pipeline architecture for an accessibility-checking KG + LLM system over BIM models: IFC → RDF (via IFCtoLBD) → SHACL rules → SPARQL queries → local LLM (Ollama) explanations. Implementation May to July 2026.
Practical Course in Information Visualization: designing and shipping interactive data dashboards in D3.js.
Continuing toward German B2 from a certified B1 (telc B1).

Selected work

ERC research · ongoing

HiWi at LMU Munich: T-MIGRANTS data-extraction tool

I develop a Python tool for the ERC-funded T-MIGRANTS project at LMU Munich (Department of Theatre Studies) that parses archival documents (PDF / Word) and resolves the extracted records against the project's MySQL database using multi-signal fuzzy matching and authority-file linking (Wikidata, GND), with a human-in-the-loop review step and a full audit / rollback log. Phase 1 (parsing) delivered; matching and ingestion phases ongoing.

Stack: Python · entity resolution · MySQL · Git.
LMU Munich · Department of Theatre Studies · since May 2026 (remote).

Open source · scientific Python

NumPy UP031 refactor (tracking issue + multiple PRs)

I authored numpy/numpy#30785, the tracking issue coordinating NumPy's project-wide migration off legacy %-formatting toward Python f-strings (under pyupgrade's UP031 rule). I contributed across five pull requests spanning numpy/lib, numpy/_core, numpy/_build_utils, numpy/f2py, and a final consolidation PR (#31137, merged) that removed the global UP031 exemption from ruff.toml.

Tracking issue #30785 Final PR #31137 (merged)

Bachelor thesis · applied edge AI

YOLOv5 deployment on Huawei Ascend Atlas 200I DK A2

I deployed YOLOv5 inference end-to-end on the Huawei Ascend Atlas 200I DK A2 via the CANN / ATC toolchain: model conversion (PyTorch → ONNX → OM), on-device AIPP preprocessing and NMS placement, and a 200-trial benchmark protocol. mAP@0.5 = 43.0 on COCO 2017 val held with no accuracy loss vs. baseline. The Atlas's optimisation passes (operator fusion, selective INT8 quantisation) combined with the on-device pre and post-processing layout delivered ~4× throughput, ~76% lower latency (59.82 ms / image, 66.86 imgs/s) and ~15× higher energy efficiency (EER 97.07 vs. 6.31) versus a CPU baseline.

China University of Petroleum (Beijing) · Sep 2024 to May 2025.

Research-assistant work · cross-functional

Quadruped robot inspection pipeline at oil & gas field stations

As a Student Research Assistant at the Computer Vision Lab, I worked cross-functionally with energy-domain engineers to integrate computer-vision modules into a quadruped robot's inspection-planning pipeline, applied for on-site monitoring at oil & gas field stations. Built simulation and control software in Unity / C# and 3ds Max; implemented routing & coverage algorithms in Java with a Test-Driven Development workflow.

China University of Petroleum (Beijing) · Oct 2022 to Dec 2023.

Public repositories

SensorViewer

Android sensor reader (Kotlin). Mobile Computing M.Sc. coursework: sensors, BLE, beacons.

Kotlin

BLE_scanner

Bluetooth-LE device scanner (Kotlin). Mobile Computing coursework.

Kotlin

diffusion2d

Python packaging exercise from Simulation Software Engineering coursework.

Python

RedisChannelForwarding

Forwarding script between Redis channels. Infrastructure tooling.

JavaScript

Education

M.Sc. Computer Science, University of Stuttgart, Germany. Specialisation: Autonomous Systems.

Apr 2025 to present (expected 2027)

B.Eng. Computer Science, China University of Petroleum (Beijing).

Sep 2020 to Jun 2024

Skills

Python (PyTorch, ONNX, OpenCV, NumPy, pandas, Jupyter) · Java · C++ · C# · JavaScript · Kotlin · Unity (C#) · 3ds Max · MySQL / MariaDB · Docker (M.Sc. coursework) · Git · Test-Driven Development · agile collaboration

Domain focus: Knowledge Graphs · Semantic Web (RDF / SPARQL / SHACL) · Entity Resolution & Record Linkage · GraphRAG (foundations) · Computer Vision · Edge / Applied AI · Cross-disciplinary integration

Languages

Chinese: native · English: C1 (IELTS 7.0) · German: B1 (telc B1 certified, continuing toward B2)

What I am looking for

A Master Thesis (industry-affiliated preferred) starting October or November 2026, in knowledge graphs / GraphRAG, semantic web, entity resolution, applied AI, or edge-AI deployment. Open to a company-hosted thesis with academic supervision from Stuttgart, or a research-institute arrangement with strong topic alignment. Long-term goal: full-time conversion after the M.Sc. via Blue Card.

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