Summary
Vino Duraisamy is a Data & AI practitioner with six years of experience building production-grade data pipelines, ML training pipelines, and explainable AI solutions across companies like Apple, Nike, and Snowflake. As a Senior Developer Advocate focused on Data & AI Engineering, he blends hands-on data engineering (PySpark, Snowflake, Airflow) with applied ML and NLP expertise—shipping search intent and learn-to-rank models in production and a Spacy-based NER package for PII redaction. He pairs technical depth in big data ecosystems and MLOps with business analytics instincts from an MS in Business Analytics, enabling him to turn complex requirements into measurable product outcomes. Comfortable in both developer advocacy and core engineering roles, he brings a knack for reproducible pipelines and practical model explainability that surfaced during research on CNN interpretability. Based in San Francisco, he’s equally at home debugging DAGs as he is evangelizing roadmaps for becoming a Snowflake data engineer.
6 years of coding experience
3 years of employment as a software developer
Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at W. P. Carey School of Business – Arizona State University
B.E. Electronics and Communications Engineering, B.E. Electronics and Communications Engineering at PSG College of Technology
English, Tamil