Wrote Python utilities to protect patient PHI (Protected Health Information) compliant w/ HIPAA safe harbor standards.

Automation of NGS (Next-generation genetic sequencing) analysis using Python.

Own my design and coding decisions, work with the lab users to get feedback and take responsibility for bug fixes, improvements, etc.

Technologies used: C#, .NET Core, SQL, Python, JavaScript

managing a small team of NLP interns to contribute directly to production software (sentiment analysis, bias detection, web scraping)

End to end ownership (training, testing, optimizing and deploying) of large scale language models to detect misleading headlines.

Creating rich data sets for training and validating Transformer models using Prodigy and Python scripts.

Deploying models to GCP production systems processing over 1000 articles per day over last 6+ months.

Maintenance (code review, refactoring, integration) of AI backend (10k+ lines of code).

Technologies Used: Python, PyTorch, TensorFlow, transformer models (BERT, XLNet, etc.), Google Cloud Platform (GCP), Spacy, NLTK, gensim, Flair.