Feng Gao Email & Phone Number

Beijing, China

• Developed a real time ETL pipeline using Spark in Scala, which automated and streamlined data processing workflows.• Extracted financial report data from HDFS (Hadoop Distributed File System) using MySQL; organized and concatenated the data into comprehensive summary tables with Python pandas, and effectively presented the insights to stakeholders.• Calculated over 600 features using Spark MLlib and evaluated their importance using metrics such as VIS and SHAP.• Utilized fine-tuned LLM models to automate loan document classification, achieving over 90% accuracy and reducing manual labeling workload by 75%; automated processes using shell scripts and scheduled tasks with cron.

Atlanta, Georgia, United States

• Educated over 1000 Georgia Tech students in the implementation of fundamental data structures, including ArrayList, HashMap, and Trees, as well as various algorithms such as Sorting, Graph algorithms, and Pattern Matching.• Assessed student assignments and exams, providing constructive feedback to address errors and enhance efficiency.• Conducted regular office hours, dedicating 6.5 hours per week to addressing student inquiries, clarifying concepts, and assisting with debugging of homework implementations.• Facilitated in-person recitation sessions, delivering comprehensive instruction and further reinforcing course material.

Atlanta

• Designed and promoted educational game simulations illustrating power grid operations during fire risks.• Built a power grid model with pandapower for optimal power flow generation; Established synchronized data communication between server and Unity using WebSocket.• Supported the outreach education team by attending workshops and research presentations, summarizing key findings.

Hefei

• Collaborated within the AI + Education department to contribute to the development of an intelligent online grading system.• Employed K-Means Clustering to segment middle-school students on a learning platform based on their usage data, enabling personalized course recommendations that increased subsequent course enrollments by approximately 20%.• Implemented over 60 comprehensive unit tests for backend interfaces in Python to ensure reliability and functionality, utilizing testing frameworks Pytest.• Engineered a robust CI/CD pipeline using GitLab CI, reduced deployment times by 40%.

Undergraduate, Computational Media, 3.8/4.0

Master Of Science - Ms, Quantitative Finance