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About me


  • ๐ŸŽ“ M.S. Graduate Student at Carnegie Mellon University - Computer Systems, Machine Learning
  • ๐ŸŽ“ B.S. Undergraduate Alumnus at Vanderbilt University - Computer Science, Mathematics
  • ๐Ÿ“ Pittsburgh, PA, USA
  • ๐Ÿ  Hefei, CN -> London, CA -> Nashville, US
  • ACM Student Fellow, IEEE CMU Student Chapter

As a graduate student at Carnegie Mellon University, my research and projects center around the intricate interplay between large language models (LLMs) and distributed computer systems. My academic journey, which began with a solid foundation in Computer Science and Mathematics at Vanderbilt University, has evolved into a deep exploration of machine learning architectures, systems optimization, and scalable distributed models.

Feel free to explore the projects and more in my repository.

My Skills ๐Ÿ› ๏ธ:

๐Ÿ‘‰ Programming languages

C C++ Python Java Go SQL

๐Ÿ‘‰ Technologies

Linux Amazon Web Service AzureCloud Google Cloud Docker MongoDB Kubernetes PyTorch Tensorflow Django Node.js React

Connect โ˜• :


@allen_zhu9 @allenjwzhu724 @allenzhu724@gmail.com

Last edited on: 08/11/2024

Allen Zhu's Projects

bert_tensorrt_inference_optimization icon bert_tensorrt_inference_optimization

Inference optimization of the BERT model using TensorRT, NVIDIA's high-performance deep learning inference platform. TensorRT is designed to maximize the efficiency of deep learning models during inference, particularly on NVIDIA GPUs. By integrating TensorRT with BERT, we aim to significantly enhance the speed, efficiency, and performance of BERT

clam icon clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

cmu_course_notes icon cmu_course_notes

This is the combined collection of the course notes that I took for some of the computer science classes at CMU.

coursera-ml-andrewng-notes icon coursera-ml-andrewng-notes

ๅดๆฉ่พพ่€ๅธˆ็š„ๆœบๅ™จๅญฆไน ่ฏพ็จ‹ไธชไบบ็ฌ”่ฎฐ

distributed-pow-based-fault-tolerant-blockchain-system icon distributed-pow-based-fault-tolerant-blockchain-system

Proof-of-Work Blockchain Consensus System: A high-performance, modular implementation of a decentralized blockchain network This project is a robust and scalable implementation of a Proof-of-Work (PoW) blockchain consensus system

distributed_multiclient_server icon distributed_multiclient_server

Distributed Multiclient Game Server: A Scalable and Concurrent Multiplayer Gaming Platform: Implementation of a robust, distributed, and scalable multiclient game server designed to support concurrent multiplayer gaming with high reliability and efficiency, leveraging Go's powerful concurrency features

docsgpt icon docsgpt

GPT-powered chat for documentation, chat with your documents

jupyter-fs icon jupyter-fs

A filesystem-like contents manager for multiple backends in Jupyter

llamainfer icon llamainfer

LLM Inference Engine: High-performance CUDA-accelerated framework for large language model inference A cutting-edge, open-source implementation of a large language model (LLM) inference engine, optimized for consumer-grade hardware. This project showcases advanced techniques in GPU acceleration, memory management, and algorithmic optimizations

pyhist icon pyhist

A pipeline to segment tissue from the background in histological images

vit_tensorrt_inference_optimization icon vit_tensorrt_inference_optimization

Inference optimization of the ViT model using TensorRT, NVIDIA's high-performance deep learning inference platform. TensorRT is designed to maximize the efficiency of deep learning models during inference, particularly on NVIDIA GPUs. By integrating TensorRT with ViT, we aim to significantly enhance the speed, efficiency, and performance of ViT

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