• Manage a 500k annual budget used for housing, recruitment events, meal plan, tailgates, and philanthropy among others• Help guide the executive board to lead a chapter of 80 active members and a 3.53 average GPA

• Serve on the ads signals anomaly detection team by developing and overseeing software designed for post-processing of possible irregularities within the performance and spending patterns of Meta's advertising clients• Developing and deploying a remote caching system that reduces anomaly data retrieval time by 92% during investigations conducted by engineers• Creating a Python-based program to significantly reduce the time required for examining anomalies that were incorrectly identified by our post-processing tools• Assist the Ads team in ensuring reliability, efficiency, and stability of advertising tools.• Working on developing a Domain Specific Language for our anomaly analyzers to allow for faster iteration on future development

• Started a private tutoring business specializing in Advanced Placement Calculus, IB Math and computer science courses for college bound high school and undergraduate level college students.• Assist with assignments as requested by students, teachers and parents.

•Designed and developed an internal python program accessed from the command line that is capable of leveraging a large language model in order to allow for natural language querying of diagnostic and repair tools used by engineers working on server infrastructure. The program selects the appropriate tool and retrieves its documentation, allowing for high accuracy even when using tools that are completely absent from the large language models training data. •Collaborated with a team of engineers to develop a variety of python programs and scripts used to capture and sort logs and determine the correct diagnostic action for servers in repair.•Presented a 90 minute presentation on Generative AI and large language models. The presentation allowed for data center staff with backgrounds in areas other than computer science to gain a better understanding of the current leading edge AI technology. I provided a simplified explanation of how neural nets work and what happens during inference and training of Large Language Models such as Meta’s own LLama. Demonstrated the difference between a foundational model and a tuned model, and how the fine tuning data can impact the output of the model.•Worked on 3 escalation projects between standard compute and AI servers. Worked with cross functional partners to get these escalations approved and completed in a timely manner. Created automation rules and improved documentation to expedite the repair process of over 100 tickets per month across Meta’s global server fleet. •Assisted in deploying and maintaining a hyper scale high performance compute cluster used to run generative AI machine learning models. •Assisted in documenting server configurations, procedures, and troubleshooting guides to ensure knowledge sharing and facilitate future maintenance and support.

• Managed tickets in ServiceNow• Migrated data from Excel Sheets to SQL database using a python script to organize data across multiple sheets and check for duplicate entries

• Monitor servers for alerts using solar winds• Create and manage tickets • Communicate with other departments about issues

• Promoted from Sales Associate to Assistant Manager after 1.5 years of work• Provide customer service and support• Responsible for social media and promotional emails• Coordinate new inventory orders with vendors• Updated financial tracking spreadsheets to provide improved feedback on sales activity

• Photo conversion project: Used Python to index, organize and convert over two terabytes of 50 different files types into standard formats• Deployed headless Linux servers to run the Python script and transfer the files to Google cloud storage

• Managed light and sound systems for various events including weddings, church services, and plays