(Acquired by Alation)

• Developed various agents and tools, enhancing system functionality.

• Improved the core knowledge layer, leading to better data processing and retrieval.

• Designed and maintained FastAPI endpoints and data warehouse connectors for seamless data integration.

• Managed AWS clusters, ensuring smooth deployment processes and operational reliability.

• Built data/ML model analytical pipelining solutions using PySpark+Golang for efficient processing.

• Developed full-stack applications with Vue.js and Golang endpoints for a seamless user experience.

• Optimized Linux Networking performance using C/C++ Kernel programming with ML algorithms.

• Deployed and maintained Kubernetes clusters on Azure utilizing Terraform and Docker.

• DBs: MinIO/Azure Blob Storage (Delta Table), Elasticsearch, PSQL, Redis

Dot Dot Eat is a Chinese food delivery website that served over 5000 customers in the greater UConn (University of Connecticut) area.

• Designed and implemented full-stack architectures of administrative backstage management and real-time site monitoring system

• Utilized Angular for frontend development and Spring-Boot for RESTful structured backend core service APIs along with Agile Development Methodology

• Used MySQL for account control/login authentication and MongoDB for operational data management

• Developed delivery routing algorithm with Google Maps API to achieve faster and more efficient delivery experiences

• Deployed to AWS S3 and Elastic Beanstalk for better scalability

• Cooperated with State Grid to draft project plans and developed a power usage prediction model for specific city areas

• Implemented LSTM/CNN/Pooling layer-based architecture with batch gradient descent in TensorFlow

• Preprocessed and visualized raw data using Elastic stack

• Implemented proper data filtering in C++ and selected ICTCLAS system to simplify the process of identifying data in Chinese characters

• Calculated model loss function using Mean Square Error and combined with L1+L2 Regularization to penalize overfitting

• Improved energy efficiency by up to 4% for over 21 million people in Beijing