Runzhou Chen Email & Phone Number
Who is Runzhou Chen? Overview
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Runzhou Chen is listed as Machine Learning Engineer Intern at Qisheng Technology, based in Baltimore, Maryland, United States. AeroLeads shows a matched LinkedIn profile for Runzhou Chen.
Runzhou Chen previously worked as Autonomous Vehicles Research Assistance at Syracuse University and Data Analyst Intern at Hellobike. Runzhou Chen holds Master'S Degree, Computer Science from The Johns Hopkins University.
Email format at Qisheng Technology
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About Runzhou Chen
With a dynamic background as a Software Development Engineer (SDE) and Machine Learning Engineer (MLE), Runzhou Chen has demonstrated a deep commitment to advancing technology and innovation. Transitioning from foundational software engineering roles at Inspur Group and Qilu Transportation Information Group, where he honed his skills in full-stack development, Kubernetes, Kafka, and DevOps, Runzhou has seamlessly pivoted to the cutting-edge field of machine learning. His work at HELLOBIKE and Qisheng Technology, combined with robust research in autonomous vehicles, showcases his ability to leverage machine learning for real-world applications, such as improving transportation systems and refining AI models for content generation and marketing strategies. His projects demonstrate not just technical prowess in both SDE and MLE realms but also a keen focus on applying machine learning to drive accuracy, quality, and efficiency. Currently concentrating on machine learning engineering, Runzhou is poised to contribute significantly to advancements in AI, combining his broad software engineering foundation with specialized machine learning expertise to solve complex challenges and innovate within the tech industry.
Runzhou Chen's current company
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Runzhou Chen work experience
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Machine Learning Engineer Intern
Current- Enhanced prompt templates and fine-tuned the LLama-13B model with QLora, achieving higher accuracy, quality, and reduced token costs, streamlining content generation and marketing strategy development.
- Built a RAG embedding model with LangChain, using GPT-4.0 for reranking support to semantic detection
- Refined the Stable Diffusion model for enhanced advertisement image generation by fine-tuning neural network specifics and layer weights using QLora and Dreambooth techniques and integrate into ComfyUI workflow.
- Trained a BERT model for marketing categorizes and dissect mispredictions analysis, achieving 2% accuracy.
Autonomous Vehicles Research Assistance
- Implemented MEDK 1001 module on Raspberry Pi car, integrating LiDAR and camera sensors for mapping and location positioning. Collected continuous images and LiDAR points through simulated driving controls.
- Trained and Optimized Lane marking classification models by modifying and integrating datasets like VPGNet and transforming video to image sets, enhancing accuracy by 4% and recall by 2%.
- Installed and programmed an HC-SR04 ultrasonic distance sensor to detect obstacle distances, and developed code for aligning coordinates with image pixel positions, improving the precision and utility of obstacle.
- Developed a caching system for storing temporal and spatial information of obstacles and lanes, enhancing system efficiency and response time, and optimizing autonomous driving performance.
Data Analyst Intern
- Develop SQL code in Presto and Hive languages to collecting data of sharing bicycle and booster bicycle scheduling and revenue data in different regional latitudes to analyze the scheduling strategy.
- Refined XGBoost algorithm for revenue forecasting by advancing split finding techniques, streamlining feature sorting/storage, and improving cache prefetch strategies, achieving a 7% reduction in model training time.
- Use the Shanghai urban population flow hotspot distribution model to simulate the hot spot of regional sites.
- Optimized XGBoost model performance on server by determining the optimal number of threads, significantly enhancing model training efficiency in terms of time and thread utilization.
Full Stack Developer
- Develop Angular framework-based front-end projects by Typescript and Django back-end data interfaces.
- Using d3 framework and SVG technology to make canvas, front-end language HTML, SCSS, JavaScript.
- Develop RESTful API with Node.js by Python to modify and insert data to MySQL and Redis database.
- Design automation components based on JSON and JS by AST, contribute no-code programming.
- Managed multi-server task duplication using Kubernetes and Kafka for efficient job processing.
- Use Redis and HAProxy to build cache microservices and use Read/Write Through cache update strategy.
Calculus Tutor
- Certified Level I tutor, tutoring small groups advancing knowledge and confidence in Calculus
- Two-week training about education psychology and calculus experience for tutors
- Help students solve derivation and integration problems
- Analyzed students’ prior performance to look for patterns, adjusting approach as needed
Frontend Developer
- Develop React as the front-end content of the framework, including weekly board style and content.
- Use Next.js to develop content, pre-render and API calls on the server side and static user authentication.
- DevOps web mall with Docker, Nginx, Docker, Kubernetes, shell on AWS EC2, RDS and SES web services
- Maintain NoSQL database and design to automatically delete expired purchase history and payment info.
Runzhou Chen education
Master'S Degree, Computer Science
Bachelor Of Engineering - Be, Computer Science, Graduate
Bachelor Of Engineering - Be, Computer Science
Frequently asked questions about Runzhou Chen
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What company does Runzhou Chen work for?
Runzhou Chen works for Qisheng Technology.
What is Runzhou Chen's role at Qisheng Technology?
Runzhou Chen is listed as Machine Learning Engineer Intern at Qisheng Technology.
Where is Runzhou Chen based?
Runzhou Chen is based in Baltimore, Maryland, United States while working with Qisheng Technology.
What companies has Runzhou Chen worked for?
Runzhou Chen has worked for Qisheng Technology, Syracuse University, Hellobike, Inspur Group, and The University Of Kansas.
How can I contact Runzhou Chen?
You can use AeroLeads to view verified contact signals for Runzhou Chen at Qisheng Technology, including work email, phone, and LinkedIn data when available.
What schools did Runzhou Chen attend?
Runzhou Chen holds Master'S Degree, Computer Science from The Johns Hopkins University.
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