Tianye Song

Fellowship @Fusion Fund

San Jose, CA, US
EMAILS
t••••••••@synopsys.com
MOBILE NUMBERS
+16•••••••06

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WORK HISTORY

May 2025 — Present

Fellowship @Fusion Fund

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Highly selective fellowship - over 700 candidates for 20 spots.

EDUCATION

N/A

Xiamen University

Bachelor's degree, Finance

N/A

Carnegie Mellon University

Master, Management Information Systems and Services

2017 — 2017

University of Oxford

Exchange student, Finance

ABOUT TIANYE SONG

Hi! I\'m Tianye Song, a Machine Learning Production Engineer at Ansys, specializing in deploying scalable GenAI and ML models within cloud-based simulation workflows. I integrate AI solutions with robust infrastructure, utilizing tools like Kubernetes, Docker, AWS, and LLM to enhance system performance and reliability.Previously, I interned at Walmart Global Tech, accelerating large-scale data pipelines using GPU-accelerated RAPIDS libraries, and contributed to open-source projects in collaboration with NVIDIA. My early career as a Data Scientist in consulting involved developing data-driven solutions for marketing and operations, leveraging NLP, XGBoost, and predictive modeling to deliver measurable business impacts.I hold a Master\'s degree in Information Systems Management from Carnegie Mellon University and a Bachelor\'s in Finance from Xiamen University, including an exchange program at the University of Oxford.I\'m passionate about building reliable, intelligent systems that bridge infrastructure and machine learning. Let\'s connect if you\'re interested in AI, cloud computing, or product engineering!Outside of work, I engage in community-building activities and mentorship. I have been actively mentoring students and participated in the San Francisco Half Marathon 2024, fundraising for \"A Better Way,\" a nonprofit dedicated to providing mental health care for children and supporting families through various services.

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