• Curating and hosting a diverse range of professional events, including panel discussions, workshops, and networking sessions with industry partners• Building and maintaining professional relationships with sponsors, panelists, and speakers• Exposing students to the diverse sectors of the data science field and provide them with a comprehensive understanding of industry applications and career pathways

• Working under the VP Finance to establish and maintain a financial management system to streamline funding allocation, approvals, and reimbursements• Assisting with coordination of CSE and HDSI department funding to support our various events hosted numerous times each week

• Coordinating between 8 board members and ~90 officers to plan, organize, and execute social and professional events/opportunities for students passionate about the gaming and tech industries• Oversees cross-committee logistics and external relationships with other organizations on campus and industry partners

• Oversees management of financial records and databases, budgeting, and financial decision-making• Devised an automated budget tracking system using spreadsheets for TGEX 2023, our largestannual event with over 1,200 attendees and special guests, including voice actors, gamingpersonalities, and other industry specialists• Producing event analytics using Pandas and Seaborn to provide valuable insights for improvingfuture marketing strategies and sponsorships

• Collaborating with a team of 5 peers to develop guides for effectively running ML and data science applications on advanced cyberinfrastructure (CI) and high-performance computing (HPC) systems• Developed and delivered comprehensive research tutorials for the Cyberinfrastructure-Enabled Machine Learning (CIML) project, empowering researchers with effective prompt engineering practices to optimize Copilot, ChatGPT, Gemini, and other LLMs• Conducted thorough assessments of current LLMs, exploring their capabilities and limitations in the context of data science and machine learning tasks• Generating research tutorials for single- and multi-GPU resource management when using PyTorch, PyTorch Lightning, and Tensorflow for fine-tuning and feature extraction of deep learning applications

• Supported classroom instruction via bi-weekly teaching sessions, teaching key Python libraries for data analysis and visualization in upper-division computation courses• Delivered 4 lectures on an introduction to machine learning techniques and ethics • Mentored and offered hands-on guidance to 700+ students on Python homework assignments and data science projects• Hosted weekly office hour sessions to provide one-on-one instructional guidance to students

• Developed a time series forecasting model achieving <10% error for predictions on traffic data across customer data centers, thereby significantly improving predictive analytics capabilities• Designed and implemented a context-aware ensemble-based anomaly detection system utilizing autoencoders, correlation analysis, and LogBERT, leading to a 96% reduction in issue identification time• Enhanced AI model management by building a user-friendly interface using Flask/Rest API, streamlining integration and usability

Assisting research on the neurobiology of social behaviors using computational tools, such as SLEAP and Seurat in RStudio. Completed independent honors project developing an R-based pipeline using Seurat that leveraged unsupervised clustering techniques and DEG analysis to explore potential sub-clusters within those identified in J. Moffitt, D. Bambah-Mukku et al. (2018)

• Spearheaded the solution designing and implementation of a router topology editor in Python• Created custom tools and scripts to facilitate editor configuration management, error tracking, and intuitive platform design• Contributed to the creation of user stories, sprint planning, and weekly sync-up meetings,ensuring seamless coordination and rapid project delivery• Developed scalable systems development knowledge in Git, Python, and Linux