● Placed on OYD AIQ Science Team● Finetuning LLM (Decreasing latency and size)● Address customer bugs with service

● Responsible for maintaining CUNY Energy Project database and website.● Work with onsite electricians to implement new campus meters online.● Improve user interface for admins.● Prepare database data in a digestible way for research purposes.

● Research focused on Deep Learning Networking Design● Focused on multiple types of GANs to solve an anomaly detection problem ● Looked into incorporating different training methods to improve GAN benchmarks

● Placed on ALPS Core Skills Science team.● Focused on developing AI models using Pytorch, Python, and C#● Developed many scripts to transform/clean model data● Adapted production level code libraries to project use case.● Developed a lightweight text classification model that scans for PII in any submitted documents or text (80-90% faster than production model).● Linked model to UI with file uploader and parameter customization features using Streamlit.● Networked with members of the Engineering and Science teams to help push model into production.● Hands on with many production level tools such as VMs, Azure DevOps, etc..

● Participated in a 12-week intensive Microsoft coding internship (8 weeks SWE, 4 weeks PM).● Placed on an Office 365 team where I focused on an upcoming Excel product called Datamations. ● Implementation of Min and Max aggregation functions in JavaScript and Python.● Fixed ESLint workflow over the repository.● Gave final presentation talking about scalability, ROI, and potential competitors.

● Participated in a 4-week intensive program in partnership with Queens College and Google.● Created coding projects in JavaScript.● Experience coding in small groups and presenting progress.● Learned about networking and practicalities in the Computer Science field.