Medical Scribe
TLDR: An ambient AI assistant that frees clinicians from the documentation burden.
Portfolio
AI Search over Clinical Practice Guidelines
TLDR: Built a vertical search engine optimized for academic-style citations where doctors can query over 17 medical specialties and 122 Clinical Practice Guidelines in addition to the latest PubMed articles.
AI Symptom Checker
TLDR: Built a patient facing AI Symptom Checker that links patients to the appropriate level of care based on their symptoms 
AI Medical Coding
TLDR: Built an AI-powered medical coding engine that automates the translation of patient case details into ICD-11 codes, addressing the time-consuming, error-prone nature of manual coding with fast and scalable automation.
Domain Adaptation of Neural Multilingual Translation Models
TLDR: During my time at SIL Global, I researched low-resource machine translation focusing on data augmentation, data extraction, supervised fine-tuning, improving tokenizer support and growing embeddings to support new languages. The project is now maintained under Project Serval which integrates with Scripture Forge.
Semantic Entropy Probes
TLDR: To the best of my knowledge this is the first open-source implementation if Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs. This project aims to help researchers and developers identify hallucinations in large language models (LLMs) using an entropy-based method.
- Paper: Read the full paper on arXiv - GitHub Repository: Check out the code on GitHub
CNN Bone Age Classification
TLDR: Medical Imaging AI for Radiologists that helps predict Bone Age from Left Hand radiographs.
RSNA-MICCAI Brain Tumor Radiogenomic Classification
TLDR: Machine Learning solutions for brain tumor classifcation
Neural Machine Translation using HuggingFace, AWS and ClearML
A simple repository to perform NMT fine-tuning for machine translation