Summary
Jose Bacoy is a Graph Engineer and Neo4j SME with over a decade of hands-on Neo4j experience and a 25+ year software engineering background, now focusing on scalable graph solutions in cloud-native environments (AWS, Azure, Kubernetes). He has driven production graph deployments, governance, and cost-efficiency improvements across enterprises like Genpact, bp, Comcast and Verizon, and reduced onboarding time through structured training. Comfortable across Python, PySpark, Java and data pipelines, he pairs graph theory expertise (MS in Mathematics) with practical ETL, ML and DevOps skills to simplify complex systems. Notably, he authored mission-critical ETL and graph programs that supported global logistics optimization and enterprise search/NLP initiatives, delivering measurable business impact. Based in the DC-Baltimore area, he combines deep technical breadth with a penchant for operationalizing research-grade techniques into production-ready, cost-effective solutions.
10 years of coding experience
14 years of employment as a software developer
Master of Science - MS Mathematics (Specialization in Graph Theory), Master of Science - MS Mathematics (Specialization in Graph Theory) at De La Salle University
Bachelor of Science - BS Statistics (Regression Analysis and Validation), Bachelor of Science - BS Statistics (Regression Analysis and Validation) at University of the East
Certification Data Science, Certification Data Science at Springboard