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Yin NancyYN
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Yin Nancy

@yinnancy

I build robust medical speech and LLM systems with measurable evaluation.

Germany
Message

What I'm looking for

I'm looking to build and evaluate safe, robust, high-performing AI systems, especially in medical AI, speech AI, and LLM applications where outputs need to be understandable and evidence-based.

I'm co-building an end-to-end Medical Speech AI Lab for outpatient EMR workflows, covering audio preprocessing, ASR fine-tuning, evaluation, and diagnostic assistance. I built a locally fine-tuned FunASR Paraformer pipeline and benchmarked ASR quality across 35 clinical cases, analyzing noise, hallucinations, terminology errors, and semantic drift.

Previously, I developed LLM applications with OpenAI APIs and LangChain, including modular AI workflows and a natural-language-to-SQL system. My M.Sc. work in Electrical Engineering focused on improving noise robustness in audiovisual speech recognition using PixMix-style augmentation, PyTorch, OpenCV, and Librosa.

Experience

Work history, roles, and key accomplishments

MP
Current

Co-Founderin & AI Engineer

Medical ASR & Smart EMR Research Project

Jan 2026 - Present (8 months)

Co-founded an end-to-end medical speech AI lab for outpatient EMR workflows, developing a locally fine-tuned FunASR-Paraformer pipeline with batch transcription, VAD, and URL-based ingestion. Evaluated ASR quality across 35 clinical cases against multiple baselines and built a diagnostic assistant agent that converts structured EMR JSON data into clinical reference cards with evidence snippets.

Education

Degrees, certifications, and relevant coursework

Technische Universität Braunschweig logoTB

Technische Universität Braunschweig

Master of Science, Elektrotechnik

2020 - 2026

Grade: 2.3

Activities and societies: Deep Learning Lab, selected modules: Digital Circuits, Pattern Recognition, Information Theory, Robotics 1, Speech Communication, Spoken Language Processing

Master of Science in Elektrotechnik with focus on autonomous intelligent systems. Thesis on improving noise robustness of audiovisual speech recognition via PixMix-style augmentation.

Beijing Jiaotong University logoBU

Beijing Jiaotong University

Bachelor of Science, Elektrotechnik

2015 - 2019

Bachelor of Science in Elektrotechnik with focus on rail traffic signal and control. Covered signal processing, control engineering, circuit design, and microcontrollers.

Tech stack

Software and tools used professionally

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