Expert engineers and data scientists dedicated to delivering exceptional AI and data solutions
Data Engineering & AI Technical Lead
Kevin founded Flarze Technologies after more than 12 years building data systems at the enterprise level. At Uber Eats, he designed data quality ETLs that directly contributed to a 20% increase in sales performance. At Northrop Grumman, he architected and deployed end-to-end scalable systems supporting a $429M government program. He leads client engagements where technical rigor and business accountability have to coexist — projects where a broken pipeline isn't just inconvenient, it's a liability.
ML/AI & Data Engineering Specialist
Chancellor specializes in the architecture layer between raw data and production AI — the pipelines, vector stores, and inference infrastructure that determine whether an LLM application actually works at scale. He has hands-on experience building RAG systems, ETL/ELT pipelines in Snowflake and Airflow, and cloud infrastructure on AWS. He brings ML engineering depth to client projects where the prototype works fine but the production path is unclear.
Bioinformatics & Full-Stack Development
Matthew brings a background that most data teams don't have: rigorous scientific computing. With experience in bioinformatics, RNA/DNA sequencing analysis, and laboratory automation, he has built data systems where data integrity is a regulatory and scientific requirement, not just a best practice. That background transfers directly to life sciences, healthcare, and compliance-heavy industries where the quality bar is higher and the tolerance for ambiguity is lower.
