Dan Kaslovsky

About Dan Kaslovsky

Technical engineering leader with data engineering/science background, strong distributed systems, backend, and database skills, and a love for Go & Python development.I am currently CTO at Hyphenate where I lead the technical strategy and execution for a seed-stage startup building systems to deliver genAI capabilities. I am also the Principal and Founder of Covalent Technical Consulting where I partner with organizations to deliver data architecture strategy and leadership in fractional and long-term engagements.I was previously the Director of Software Architecture at runZero, a Series A startup focused on network and asset discovery, where I also served as Director of Engineering and Technical Lead. In these leadership roles, I maintained Principal Engineer responsibilities while growing and mentoring the engineering organization and owning our technical development and execution. This exciting progression allowed me to continue the role I established as lead of runZero\'s initial engineering team while expanding my organizational impact.See also: https://builtin.com/brand-studio/runzero-leadership-runs-roll-your-sleeves-attitude.Prior to runZero, I was the Technical Lead for Data Platform & Analytics at Automox where I built a data program from the ground up. I have also been a Senior Machine Learning Engineer with LogRhythm, where I lead a data science team designing and implementing machine learning software for information security applications and user behavior modeling.Professional qualifications and skills include:• Designing and building scalable, distributed architecture for SaaS products• Writing and reviewing production code as a core member of software engineering teams• Leading greenfield engineering projects, data engineering teams, and data science R&D• Providing strategic direction, contributing product vision, and collaborating with senior stakeholders• Leveraging cloud infrastructure for data processing and database technologies• Ph.D. in Applied Mathematics with expertise in statistical algorithms and machine learning• Selected development tooling: Go, Python, PostgreSQL, Elasticsearch, Spark, AWS/GCPBefore moving to industry, I was awarded a National Science Foundation (NSF) Postdoctoral Fellowship and received my Ph.D. in Applied Mathematics from the University of Colorado at Boulder, where my research focused on developing efficient algorithms for extracting structure from large data sets.Please see my Github profile for some of my code and personal projects: https://github.com/dkaslovsky

Experience

1. Principal Architect

   Functionize

   Jul 2025 — Present

Education

• University of Colorado Boulder

  Doctor of Philosophy (Ph.D.), Applied Mathematics

• Colgate University

  Bachelor of Arts (B.A.), Computer Science

• University of Colorado Boulder

  Master of Science (M.S.), Applied Mathematics