Ben Fasoli Email & Phone Number

Kirkland, Washington, United States

San Francisco, California, United States

Pngme enables banks and FinTechs in Sub-Saharan Africa to offer financial services to millions of users without traditional credit scores.Led Pngme's engineering teams including hiring, managing, and mentoring a diverse team of remote engineers distributed across multiple continents. Set technical direction and shaped engineering best practices, culture, and processes.

San Francisco, California, United States

Worked across Pngme's Product Engineering, Data Platform, and Data Science teams to evolve interdependent data-intensive systems.Implemented usage-based API pricing and drove adoption among B2B2C customers.Commercialized a gradient boosting credit risk regression model directly leading to multiple enterprise partnerships. Developed repeatable strategies for feature selection, hyperparameter optimization, performance evaluation, calibration, and drift detection.Designed core identity and access control services for compliance with enterprise bank cybersecurity and regulatory requirements including SOC2 and GDPR.

San Francisco, California, United States

Technical lead of Pngme's Data Platform team responsible for financial data services, APIs, and machine learning models predicting credit risk for millions of users in Sub-Saharan Africa.Scaled infrastructure serving financial data and modeling products to process >5k ingress events/second from millions of users.Developed backprocessing systems to support evolution of data transformation logic while enforcing data consistency in downstream databases. Events can be replayed from a log-based message queue or reinjected from targeted queries against a data warehouse.Rearchitected core domain services to establish common integration and communication conventions supporting repeatable extension by individual contributors.Improved developer efficacy by standardizing CI/CD, static code analysis, and testing using local infrastructure components across new and legacy services.

Salt Lake City, Utah, United States

Research scientist focused on greenhouse gas and air quality research using integrated measurement, analysis, and modeling systems.Lead contributor to the Stochastic Time-Inverted Lagrangian Transport (STILT) particle dispersion model which is used to locate and quantify greenhouse gas emission sources.Designed a Kubernetes control plane for scaling compute-intensive atmospheric simulations using fault-tolerant services and preemptible compute instances to manage compute costs.Led development of automated air quality measurement systems for Google Street View vehicles and Salt Lake City's light rail trains. Collaborated with Google and the Environmental Defence Fund to develop new methods to evaluate sub-neighborhood-scale pollution exposure.Built order submission and inventory management web app for WMO-traceable reference air tanks.Contributed to methods, analysis, data visualizations, and technical writing for publications spanning multiple research domains.

Salt Lake City, Utah, United States

Scribe uses IoT technologies to modernize environmental measurement systems with high-precision data acquisition systems.Technical co-founder responsible for fundraising, driving hardware and software engineering objectives, and collaborating with partners to iterate on product capabilities.Designed fleet management SaaS product that enabled customers to manage networks of connected devices reporting high-frequency environmental sensor data.

San Francisco, California, United States

Salt Lake City, Utah, United States

Developed data pipelines for automated environmental data capture, quality control, and measurement calibration. Scaled services and infrastructure to process 10M ingress events/day.Designed and deployed measurement control systems that integrate environmental sensor arrays, automate valve systems, and synchronize data with remote servers.Built internal web app to monitor system health diagnostics across multiple networks of environmental measurement systems.Designed abstractions for consuming legacy atmospheric transport models via high-level interfaces (Python, R, CLI), which enabled parallel processing workflows to cost-efficiently utilize SLURM-based HPC systems.

Master Of Science - Ms, Atmospheric Sciences And Meteorology

Bachelor Of Science - Bs, Atmospheric Sciences And Meteorology