Richard Minerich is a senior data engineer and seasoned technology leader with 25+ years building production software across Pharma, BioTech, FinTech, RegTech and healthcare, and 18+ years focused on AI. He has served as CTO and VP of Engineering, scaling teams and architectures—most recently driving GenAI strategy, platform stabilization, and a doubling of engineering headcount at Well while delivering product pivots that unlocked millions in ARR. Richard blends hands-on engineering (including a notable open-source contribution improving Haskell REPL usability) with executive rigor: post-acquisition integration at RELX, SOC2/contracts engagement, and multi-million-dollar cloud budget stewardship. He repeatedly turns research into shipped systems—from an in-house functional language for data predicates to ML-powered KYC and entity-resolution platforms—while keeping a practical eye on ops, cost controls, and developer productivity.
15 years of coding experience
18 years of employment as a software developer
Coursera
Bachelor of Science Computer Science, Bachelor of Science Computer Science at University of Massachusetts Amherst
SublimeREPL - run an interpreter inside ST2 (Clojure, CoffeeScript, F#, Groovy, Haskell, Lua, MozRepl, NodeJS, Python, R, Ruby, Scala, shell or configure one yourself)
Role in this project:
Back-end Developer
Contributions:6 commits in 9 days
Contributions summary:Richard primarily worked on enhancing the Haskell REPL within the SublimeREPL project. Their contributions focused on improving the usability and functionality of the REPL, including adding text massaging options, such as whitespace trimming and multi-line syntax support. The user also implemented features like automatic injection of "let" for function definitions to enhance code readability and behavior within the REPL environment. These changes aimed to improve the development experience for Haskell developers using Sublime Text.
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