Systems engineer with an unconventional trajectory spanning AI infrastructure, quantitative finance, and academic research. I believe good systems engineering makes any problem approachable.
Currently at Consilience AI, building specialized language models for financial and enterprise domains.
“In a field where the half-life of knowledge is measured in months rather than years, embrace perpetual education as both a necessity and an opportunity.”
03
Let’s Connect
Open to conversations about AI infrastructure, quantitative methods, research collaboration, or interesting systems problems.
Chase Grimm is a systems engineer with an unconventional trajectory spanning AI infrastructure, digital agency solutions, and algorithmic trading. Holding a B.S. in Industrial Engineering from Iowa State University, they've built a career on the belief that good systems engineering makes any problem approachable. Their published research spans traffic prediction, agricultural simulation, and proteomics—fields united by underlying systems challenges. At an early-stage AI startup, Chase architects text analytics infrastructure for processing unstructured data at scale. Their pragmatic philosophy—that different tools solve different problems and "not everything is a snowflake"—cuts through technology hype to match the right approach to each challenge. This perspective, combined with a commitment to continuous learning, positions them at the intersection of AI maturation and quantitative finance.
Senior Engineer at Consilience AI, building specialized language models for financial and enterprise domains—extracting risk signals and causal relationships from regulatory filings, earnings calls, and corporate communications.
Data & Operations Research Scientist applying optimization and statistical methods across Principal's investment divisions to improve portfolio performance and operational efficiency in equities, fixed income, and asset management.
Undergraduate Research Assistant in Industrial Engineering at Iowa State University—conducted user studies for agricultural technology, developed Android applications for equipment automation, and built predictive models for irregular traffic using web/social media data and text mining in R.
UI/UX Software Development Intern at Optum Health, contributing to a team-based software redesign with emphasis on user research and secure web development in Spring.
Master Scheduling Data Consolidation Analyst, Senior Intern
Master Scheduling Data Consolidation Analyst (Senior Intern) at Collins Aerospace—built web-based tools to consolidate disparate datasets and provided analytics aligning cost of sales with production plans across inventory, customer satisfaction, and business KPIs. Tech stack: Excel, VBA, R, Python, SQL, SAP, Access.
A systems engineer with an unconventional trajectory across multiple disciplines, Chase Grimm works across the AI ecosystem—from building core text analytics infrastructure at an early-stage startup to implementing AI solutions for digital agency clients and developing algorithmic trading strategies. Their career exemplifies the power of applying rigorous systems thinking across diverse domains, leveraging the same foundational principles whether architecting data pipelines or designing quantitative models.
In a field where the half-life of knowledge is measured in months rather than years, embrace perpetual education as both a necessity and an opportunity.
Chase Grimm is a systems engineer with an unconventional trajectory spanning AI infrastructure, digital agency solutions, and algorithmic trading. Holding a B.S. in Industrial Engineering from Iowa State University, they've built a career on the belief that good systems engineering makes any problem approachable. Their published research spans traffic prediction, agricultural simulation, and proteomics—fields united by underlying systems challenges. At an early-stage AI startup, Chase architects text analytics infrastructure for processing unstructured data at scale. Their pragmatic philosophy—that different tools solve different problems and "not everything is a snowflake"—cuts through technology hype to match the right approach to each challenge. This perspective, combined with a commitment to continuous learning, positions them at the intersection of AI maturation and quantitative finance.
Chase Grimm is a systems engineer working across AI, text analytics, and algorithmic trading, applying rigorous systems thinking to solve complex problems across diverse domains.
