Chase Jones · signalpursuit.io
End-to-end MLOps consulting and technical advisory for companies building production ML systems. Specializing in financial services and data-intensive infrastructure.
What I do
Architecture to deployment. I help companies move ML from notebooks to production — designing pipelines, building the data platform, instrumenting observability, and keeping it running reliably at scale.
Strategic ML and infrastructure guidance for seed through Series B companies. Architecture decisions, engineering hiring, LLM system design — and the pattern-matching from real failures and wins at scale.
Background
Technology Director
Lead engineering for a systematic derivatives trading firm — the full research-to-execution stack. Built a dual-store data platform ingesting 2M+ daily market observations, low-latency execution with automated failover, continuous strategy reevaluation with 100% trading-window coverage, live audit and position reconciliation workflows, and neural risk models. Currently leading LLM and agent tooling for research automation.
Applied Scientist
Led a three-person engineering team (BIE, SDE, DE) to design and deploy a generic end-to-end MLOps platform using AWS serverless technologies for Amazon Advertising, shipping three production use cases. Designed a time series ranking methodology and built the internal Flask API to serve it.
Data Science Consultant
Advised financial services and public sector enterprises on production ML using AWS best practices. Scoped and led five customer engagements end-to-end, deploying 13 models to production via SageMaker — including multi-task neural networks, semantic segmentation and image classification pipelines, and ensemble deep-learning forecasters.
Data Scientist
Inventory optimization for global supply chain using predictive modeling and numerical methods. Deployed three production models including a reinforcement learning agent, binary classifier, and unsupervised market basket analysis. Advised executive leadership on AI/ML strategy and led small delivery teams.
Education
Working on production ML infrastructure, an AI platform, or a financial technology system? I'd like to hear about it.