Robert Dewey

Background

About Robert Dewey

I bring the rare perspective of a founding partner who helped build a technology startup through to its successful acquisition by a household brand, AccuWeather Inc, in 2015. Today, I apply that entrepreneurial mindset as a software engineer specializing in Python, big data, massively parallel processing, and large language models (LLMs). My work powers mission-critical weather intelligence products used by millions worldwide. From rapid prototyping and integration to maintaining 24/7 reliability, I ensure AccuWeather’s mobile app and website deliver features like snowfall probabilities, rainfall thresholds, and wind gust forecasts—tools relied on by individuals and businesses every day. Core Expertise: Python (expert-level) — from core language mastery to massively parallel computing and scalable data pipelines Machine Learning & AI — extensive knowledge of LLMs, as well as building custom NLP, image/video recognition, classification, and regression models with Pandas, Scikit-learn, and Keras Scalable APIs — architecting high-performance services with Flask Cloud Infrastructure — extensive experience with AWS (EC2, S3, RDS/ElastiCache, Route 53, Global Accelerator) Databases — SQL (design + optimization) and Redis for high-speed caching and session management Meteorological Data — deep experience with NetCDF and GRIB datasets for scientific computing and applied forecasting I thrive where complex datasets, AI, and real-world impact intersect—bringing engineering precision and innovation to products that millions of people depend on daily.