Summary
Daniel Fennelly is a Staff Engineer and thoughtful software generalist based in Berkeley with a decade of experience building data-first products and interactive experiences. Trained in experimental psychology and cognitive neuroscience, he blends human-centered research with rigorous engineering—shipping analytics and MLOps tooling at startups and enterprise settings and co-founding an AI habit companion that applied behavioral science to product design. He’s comfortable across Python, Scala, Spark, Kafka and Kubernetes, and favors the right tool for the job—from rapid Streamlit prototypes to static-checked, property-tested systems. Daniel also leads multidisciplinary teams in both technical and artistic contexts, having delivered large-scale interactive art installations that pair algorithmic interaction design with embedded systems. His background reveals a rare mix of rigorous scientific thinking, product empathy, and playful, tangible experimentation with ML and real-world systems.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Psychology, Bachelor's degree, Psychology at Reed College