• Proposed, designed, and implemented agentic email response microservice with Langchain/Flask/OpenAI. It fully autonomously responds to 25% of email threads, generates proposed responses for ~100%, and handles email routing/classification.• Major contributor across the stack on development of 'DriveSmart' application, which facilitates communications with noncompliant policyholders and risky drivers. Experience includes: • Architecting backend postgres database. • Building most of the app's Flask endpoints for comms with frontend and other services. • Implementing distributed big data pipelines for aggregating telematics sensor data for app. • Training and deploying driver riskiness model.• Built and productionized additional ML/DL models and distributed big data pipelines, mostly within an AWS/Kubernetes/Dagster ecosystem.

• Built Machine Learning models for pricing indications and reserving analyses.• Updated, debugged, and built dashboards and reports with SAS, SQL Server, and Power BI.• Presented quarterly to company executives on pricing, reserving, and other actuarial insights.

• Developed and deployed machine learning models in Jupyter notebooks to answer business questions from executives.• Managed 2 data analysts and set quarterly Analytics team goals/OKRs.• Built dashboards in Tableau and Metabase and administered Postgres Data Warehouse.

• Consulted for local businesses and online via Freelancer.com on programming/data analytics projects.• Saved Coastal Hospitalists Medical Associates $70,000 writing custom code in VBA that scanned patient information stored in excel and reformatted into sheets that could be processed by billing services.

• Created and operated a tutoring and music lesson business full time. I served 50 to 60 clients per week, primarily in the areas of standardized test prep, high school and college mathematics, and piano lessons.

• Recieved grant from the foundation to work with team developing a sustainable farming model that could be exported over 100 impoverished villages where much of the population was suffering from malnourishment