I maintain and modernize the Habitat Sartorial website, enhance our technological innovations, and establish social media presences, among other responsibilities.• I developed and deployed the modern commerce and blog website (frontend in React and backend in NodeJS firestore + firebase) to house HSLLC philosophy, showcase donors, and allow for zero-pain-point ordering of HSLLC fashion• I employ SEO and interaction analytics across seven social media channels to drive growth and customer/donor communication

• Now at 10 hours a week, I garner insights from product usage data implementing the Mixpanel SDK.

• Revamped the public-facing website from Ruby HAML to ReactJS - https://curbsidehealth.com

• Created a machine learning model to tell physicians a patient’s likelihood of admission to the ICU from early triage data• Saw the model through to production at four major hospitals in California - now providing physicians with helpful insights on patients within 3 seconds of their arrival for each of the∼100 patients each ED sees each day

• Developed proof of concepts products using ReactJS + Python for the cutting-edge LLM product WatsonX.• Fine-tuned Meta’s Llama-2 to use in our novel RAG architecture, creating a LLM powered Q&A suite for IBM products.

• Uncovered insights (using Python + IBM tech) in fast-paced 3 week sprints for IBM clients.• Designed, built, and demoed an AI Customer Service Assistant to pitch to a large energy provider – including machine learning applications such as projected bill pricing, customer tone analysis, and predicted lengths of current power outages.

• Developed web scraping scripts in Python to seed our database with 1000+ potential clients in France, Spain and Portugal

• Developed SeqSpawner, an object-oriented Python library for simulating biological sequences.

• Developed a urine test for Preeclampsia through analysis in Python of large data sets of protein concentrations.