Aoran Shen
Master's student in Computer Engineering at the University of Michigan, Ann Arbor
I am currently seeking a full-time position
About Me
I am Aoran Shen, a graduate with a Master’s degree in Electrical and Computer Engineering from the University of Michigan, Ann Arbor, specializing in SRE, SDE, Cybersecurity, and Computer Vision. I am currently seeking full-time opportunities in these fields, and I am confident that my technical background and practical experience will bring innovation and value to your team.
During my undergraduate studies, I double-majored in Computer Science and Cybersecurity, which has equipped me with extensive programming, algorithmic, and IT infrastructure skills. I am proficient in Python, Java, and C++ with strong experience in software architecture design and implementation, and I am well-versed in developing large-scale distributed systems. I also have expertise in Linux, Kubernetes/Docker, and AWS cloud infrastructure. Additionally, I am a certified Red Hat Engineer (RHCE) and AWS Certified Solutions Architect – Professional.
In graduate school, I focused on machine learning and data science, particularly in the fields of computer vision and natural language processing. I contributed to several research projects, including adversarial neural networks for medical imaging, YOLOv5 optimization, multi-organ tissue segmentation, network intrusion detection using deep learning, and algorithm optimization techniques. I have also earned two Kaggle silver medals, further showcasing my abilities in data analysis and modeling. Alongside my academic accomplishments, I obtained the AWS Certified Machine Learning – Specialty certification, giving me strong capabilities in applying AI and machine learning to solve real-world problems efficiently.
Services
Software Development Engineer
I have a strong background in software development, proficient in programming languages like Python, Java, and C++. I specialize in designing and implementing efficient and scalable software architectures. With experience in object-oriented design, test-driven development (TDD), and Agile methodologies, I can deliver innovative solutions for complex systems development.
Site Reliability Engineer
I focus on enhancing system reliability and scalability through automation and efficient infrastructure management. With expertise in Linux, Kubernetes/Docker, and AWS, I implement high-availability strategies, disaster recovery plans, and system monitoring to ensure continuous, efficient operations.
Cybersecurity
With a dual degree in Computer Science and Cybersecurity, I am well-versed in cryptography, penetration testing, firewall configurations, and network risk management. I can deliver comprehensive cybersecurity solutions to safeguard systems and data, leveraging security best practices to mitigate threats and enhance defense mechanisms.
Machine Learning
I have extensive knowledge and practical experience in machine learning, particularly in computer vision and natural language processing. I excel at building and optimizing deep learning models to drive innovation through AI solutions. As an AWS Certified Machine Learning Specialist, I apply cutting-edge technologies to real-world projects.
Resume
Education
2023-2024
University of Michigan, Ann Arbor
The Master of Engineering degree in Electrical and Computer EngineeringCore Courses:
Probability and Random Processes
Machine Learning CSE
Foundations of CV
Matrix Methods in SIPML
Optimization methods in SIPML
2019-2023
St. Cloud State University
Bachelor of Science degree in CybersecurityCore Courses:
Applied Cryptography
Firewall/Penetration Test
Cloud Networking
IT Security and Risk Management
Wireless Networks
Network Administration
System Administration
Experience
Jun 2022 - Aug 2022
Alibaba Group
Machine Vision Algorithm Internship1. Participated in the project for a PyTorch implementation of ML-Decoder, a new attention-based classification head.
2. Explored the ViT model, which completely replaces CNN with a self-attention mechanism for the target detection task. Combined this model with the ASAM program and improved the accuracy by 0.54% on the model based on Resnet50 and CIFAR-10 datasets.
3. Conducted image processing, image recognition, research and implementation of deep learning algorithms.
Dec 2020 - Mar 2021
Leyard
Software Engineer InternMay 2020 - Aug 2020
Leyard
Software Engineer InternIT infrastructure Skills
Liunx
Kubernetes/Docker
AWS Architecture
IT infrastructure Skills
Liunx
Kubernetes/Docker
AWS Architecture
AI Skills
Computer Vision
Natural Language Processing
Certificate
IT infrastructure
Red Hat Certified Engineer (RHCE)
Aoran Shen
AWS Certified Solutions Architect – Professional
Aoran Shen
Artificial Intelligence
AWS Certified Machine Learning – Specialty
Aoran Shen
Research
2024
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
Houze Liu, Bo Zhang, Yanlin Xiang, Yuxiang Hu, Aoran Shen, Yang Lin
Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm
Guanming Huang, Aoran Shen, Yuxiang Hu, Junliang Du, Jiacheng Hu, Yingbin Liang
Segmentation of Multi-Organ Functional Tissue Units Using UNet-EfficientNet-B8
Aoran Shen, Ruxin Chen, Yueze Zhu, Ruohan Hu
2023
An Intelligent Network Intrusion Detector Using Deep Learning Model
Zheming Zhang, Yunjian Li, Aoran Shen, Jiajun Hu
Optimal Rho Value Selection Based on Sharpness-Aware Minimization Program
Aoran Shen
Project
Kaggle
Kaggle Silver Medal - U.S. Patent Phrase to Phrase Matching
Aoran Shen
Kaggle Silver Medal - UW-Madison GI Tract Image Segmentation
Aoran Shen
Courses
Investment Strategies with NLP Agent: A Stock Price Prediction Model with Sentiment Analysis, for Optimized Decision-Making and Timing
Aoran Shen
BEVFormer-EasyCV Integration: Advancing Autonomous Driving Perception with Enhanced Training Efficiency
Aoran Shen
Intership
Comprehensive Evaluation and Innovation in CTR Prediction: Benchmarking State-of-the-Art Models on the Criteo Dataset
Aoran Shen