Work

Led TA efforts for Advanced Machine Learning (SP24), Theory of Machine Learning (FL23-SP24), and Data Science (FL21-FL22).

• Held office hours, managed team of ~30 TAs for a ~225 student class, reworked curriculum, occassionally lectured

Designed and revitalized high throughput critical infrastructure for Square Banking.

• Pioneered effort to deconstruct legacy service responsible for all balance tracking at Square, designed new architecture and data model (Java, Kotlin, tRPC)
• Led an intern hack week team to develop an internal AI service-specific research agent, using entirely local LLMs (Nous-Hermes-Llama2-13b) and RAG with a handrolled vector DB

Trained computer vision models to generate analytics for Smart Cities.

• MaskRCNN / ConvNeXT for real-time boundary detection / classification of pedestrians, cyclists, etc in frame as well as clothing type and coloration. Deployed to embedded devices on client cameras (PyTorch, ONNX, TensorRT)
• All work done in French

Researched and implemented deep learning methods for anomaly detection in high-dimensional time series data generated by large scale distributed systems.

• Pioneered ML work for the Athena team with the goal of diagnosis and prognosis of anomalies within the Azure cloud, and detecting outages before they occur (recently patented!)
• Novel graph attention network architecture, deployed end-to-end pipeline in Azure ML to client teams
• First place team at the annual intern Puzzle Hunt (à la MIT Mystery Hunt) out of 1300 entrants

Revamped onboarding for client non-profits to automate profile and first fundraiser creation with AI.

• Developed full stack webapp, using company mission statements, social media and other sources as input to a fine-tuned GPT3 to generate target fundraiser samples specific to the organization