Ruitong Xu
Summary
Detail-oriented Software Engineer with extensive experience in developing robust code for high-volume businesses and adept understanding of database management and user interface design. Brings a strong foundation in project management and optimization to drive efficiency and accuracy in administrative tasks. Highly skilled in leveraging technical tools, including advanced Excel functions, to streamline processes and enhance data analysis, reporting, and project tracking capabilities.
Proven track record of implementing innovative software solutions, providing a unique blend of technical expertise and administrative acumen, ensuring seamless integration of technology in administrative strategies. Proficient in automating routine tasks, creating dynamic reports and dashboards, and maintaining complex datasets, which facilitate informed decision-making and operational efficiency.
Eager to apply technical knowledge and analytical skills to contribute to effective office administration and support services, enhancing workflow optimizations and organizational productivity.
Overview
6
6
years of professional experience
2
2
Languages
Work History
Trend Analysis on Twitter Dateset
Course Projects
03.2024 - 05.2024
- Cleansing and standardizing a large dataset of Twitter posts to ensure quality and consistency. This step was crucial for effective analysis.
- Utilizing TF-IDF vectorization to transform the tweet text into a structured format suitable for machine learning. This method highlights the most important words that could indicate emerging trends.
- To group similar tweets and identify potential trending topics, we applied clustering algorithms like K-Means and DBSCAN. These methods help in recognizing patterns and common themes across numerous posts.
- Apply the PCA to simplify the complexities of our data, which enhanced our model's performance and facilitated better visualization of the analysis results.
NLP for Detecting Fraudulent
Course Projects
11.2023 - 12.2023
- Employed and assessed various algorithms including Logistic Regression, Random Forest, Support Vector Machine, and Gradient Boosting Decision Trees to analyze text data effectively.
- Developed models using Long Short-Term Memory networks and Convocational Neural Networks to enhance the detection of complex patterns in review data.
- Fine-tuned sophisticated models like BERT, GPT-2, and RoBERTa on a diverse dataset of 20,000 Amazon reviews, improving the accuracy of the system.
Facial Expression Recognition
Course Projects
04.2023 - 04.2023
- Investigated several deep learning architectures, including VGG, Inception-like models, and traditional CNNs, to identify the most effective method for precise emotion recognition.
- Utilized Convocational Neural Networks (CNNs) and integrated complex models such as BERT, GPT-2, and RoBERTa, all fine-tuned on a diverse dataset of over 20,000 facial expression images.
- Engaged in thorough testing and optimization processes to improve the accuracy and efficiency of the models, achieving high validation accuracies and addressing potential overfilling issues.
Intern Software Development Engineer in Test
Beijing MEGVII Co., Ltd
06.2021 - 08.2021
- Guided the test team through the project's architecture, enabling seamless integration of C++ with Python and JSON for enhanced interoperability.
- Established and managed Docker-based environments, optimizing preparation and uniformity across all testing stages.
- Executed a range of testing protocols such as benchmarking and smoke tests, which bolstered data transmission reliability and reduced packet loss effectively
Education
Master of Science - Computer Science
Northeastern University
San Jose, CA05.2024
Bachelor of Science - Computer Science
Michigan State University
East Lansing, MI05.2018
Skills
- Software Development Tools: Docker, Angular
- Programming Languages: Java, C, Python, JavaScript, HTML/CSS
- Databases: MySQL, SQLite
- Natural Language Processing
- Supervised and Unsupervised Machine Learning
- XML
- Office 365: Word, Excel, PowerPoint
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Accomplishments
- Collaborated in organizing large-scale cultural events, enhancing community engagement and cultural exchange.
- Spearheaded fundraising initiatives, securing financial support from various sources to ensure successful event execution and association activities.
Timeline
Trend Analysis on Twitter Dateset
Course Projects
03.2024 - 05.2024
NLP for Detecting Fraudulent
Course Projects
11.2023 - 12.2023
Facial Expression Recognition
Course Projects
04.2023 - 04.2023
Intern Software Development Engineer in Test
Beijing MEGVII Co., Ltd
06.2021 - 08.2021
Master of Science - Computer Science
Northeastern University
Bachelor of Science - Computer Science
Michigan State University
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