Extended recurrent convolutional neural networks (RCNN) for surface code quantum error correction Tuned RCNN model to achieve equivalent performance with less than 25% of original parameter count Quantized TensorFlow dense models with hls4ml for use in dedicated FPGAs, reducing load by 50%
Utilized retrieval augmented generation with agentic LLMs to generate 200+ multiple choice Q&As Automated Q&A generation and verification pipeline with over 95% efficacy for the Aurora GPT Developed a tutorial on agent-based LLMs using AutoGen and LangChain for over 50+ instructees
Handle software implementation and cleaning for over 100+ Linux, Mac, and Windows systems Designed backend automations to handle data entry tasks, boosting team efficiency by 30%
Helped develop a Python program that collected internet speeds throughout Hyde Park using Ookla’s API and projected them onto a map through GeoPandas to see differences in internet accessibility throughout the neighborhood