Madison Ferrara Email & Phone Number

Seattle, Wa, Us

Austin, Texas, United States

▪ Engineered model-agnostic wrappers integrated with MLflow, Spark, and Databricks, creating scalable pipelines that manage end-to-end production processes, from feature engineering and model training to evaluation, optimization, registration, deployment, and real-time logging and monitoring via inference tables.▪ Led the creation of standardized GenAI and LLM pipelines that establish vector databases, inference tables, a review app for continuous model evaluation, and a novel method for wrapping chat models with compliance-approved system prompts, ensuring safe, compliant, and consistent deployment across all downstream applications.▪Led an enterprise-wide GenAI forum dedicated to discussing the latest advancements in LLMs, which grew from 20 to over 400 members across GM, becoming the central hub for sharing knowledge and best practices in GenAI.

Austin, Texas, United States

▪ Led the development of ML models optimizing the placement of over 1,000 DC fast chargers and 40,000 city chargers, processing terabytes of vehicle telemetry data, driving key partnerships, and significantly expanding EV infrastructure.▪ Developed a suite of machine learning models, including a reinforcement learning energy trading algorithm for EV smart charging, long-term and short-term energy forecasts, charging station utilization forecasts, topic modeling on customer feedback verbatim, and an LLM-based vehicle recommender system.▪ Recognized for exceptional leadership across the organization, mentoring and training teams, and fostering a collaborative and innovative environment.

Portland, Oregon, United States

▪ Conducted and analyzed hundreds of land surveys across the U.S. for new construction projects, utilizing GIS software to process and interpret large spatial datasets, and collaborated with cross-functional teams and clients to integrate geospatial data into comprehensive project plans, using advanced data visualization techniques to present complex information effectively.

Vancouver, British Columbia

▪ Applied deep learning for atmospheric modeling and air quality forecasting, predicting pollutant concentrations and boundary layer dynamics by conducting spatio-temporal analyses on large atmospheric datasets to extract meaningful insights such as pollutant dispersion patterns, source attribution, and the impact of meteorological conditions and wildfire smoke.▪ Led a team of research scientists in using lidar technology to assess the impact of wildfire smoke on atmospheric conditions, providing key insights into air quality and aiding climate change mitigation strategies.

Bloomington, Indiana

▪Applied advanced data analysis techniques to NCEP/NCAR reanalysis data, uncovering statistical relationships between tropical cyclone intensity and tropopause height. ▪Utilized modeling and mathematical frameworks to support a novel theory on energy transfer from the stratosphere, driving rapid cyclone intensification.

Bloomington, Indiana

▪ Developed and curated a global dataset to evaluate the risks of seismically-induced landslides, utilizing geospatial analysis and data processing techniques to assess potential environmental impacts.

Master Of Science - Ms, Geography

Bachelor Of Science - Bs, Environmental Science

Minor: Geography, Geology