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58191554/README.md

👋 Hi, I'm Zhen!

I'm Zhen Tong — a graduate student at Carnegie Mellon University, passionate about Deep Learning Systems, LLM infrastructure, and Reinforcement Learning. I enjoy building scalable AI systems, optimizing model performance, and diving deep into generative models.

🔬 Research & Interests

Large Language Model systems (MLX, vLLM-style engines, speculative decoding, GPU/Metal kernels), Distributed systems, consensus algorithms, and performance engineering

💼 Experience

Google - Full time software engineer (2026) Working in DataFlow @ Google Cloud. Working on distributed system for parallel computing. You can think DataFlow as highly-optimized MapReduce.

Amazon — Software Engineer Intern (2025) Built centralized data deletion orchestration service using AWS Lambda, Step Functions, DynamoDB, SQS, SNS, IAM, CDK.

LOGO Lab, CUHKSZ — Research Assistant (2024.2 – Present) Research on generative models and optimization algorithms.

🎓 Education

Carnegie Mellon University - Master of Science in Information Networking (2024.8 – 2026.1, expected)

Chinese University of Hong Kong, Shenzhen - BSc in Computer Science and Engineering (2020.9 – 2024.5)

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