Clayton Schuler
Software engineer specializing in distributed systems, AI infrastructure, and decision automation platforms. Experience building enterprise systems supporting thousands of applications, designing agentic AI architectures that analyze operational telemetry and biomedical data, and working with high-volume, low-latency data throughput.
Where a claim below is backed by a project on this site, the entry links to it — so you can move between the claim and the work.
Experience
- 2025 – present
Capital One
Lead Software Engineer / Tech Lead- Technical lead across three engineering teams (18 engineers) responsible for enterprise platform observability supporting 5,000+ internal applications and petabytes of telemetry data.
- Implemented an OpenTelemetry collection pipeline processing 100–300 TB daily, sub-20-second end-to-end from collect through transform to an Apache Iceberg datalake.
- Architected a multi-agent AI incident-analysis platform (LangGraph, ReAct-style reasoning), reducing incident resolution time from 96 minutes to 36 minutes.
- Led migration of enterprise monitoring from New Relic to Observe Inc, reducing ~500,000 monitors to ~150 parameterized monitors (~95% less maintenance overhead).
- Designed unbounded-scale AI pipeline infrastructure for hundreds of parallel data streams, with three caching layers in the inference path; deployed self-hosted open-weight LLMs on Fargate/Kubernetes.
- Led a genAI pilot pod building an Observability MCP server; designed a serverless gateway backing CI/CD for 5,000+ applications.
- Delivered "Taming the LLM Bottleneck" at Async Live 2026 (national engineering conference); first place, national Capital One GenAI Hackathon — funded to production; directed the AI second-brain initiative across a 1,700-person vertical.
backed by → the observability writeup - 2024 – present
PrimeMaxing
Founder / Technical Lead- Built an AI-driven health analytics platform interpreting blood biomarker data.
- Designed HIPAA-conscious architecture — React, AWS Lambda, DynamoDB, and LLM analysis pipelines — with multi-tenant clinic infrastructure for patient and clinician workflows.
- Persistent-memory LLM with smart context injection over MCP, on PII-sanitized chats; LLM-as-judge regression testing for prompt optimization.
- Running a pilot deployment with a partner clinic; conducting product demos with healthcare organizations.
backed by → the PrimeMaxing writeup - 2022 – 2025
Clearpool Group
Associate Software Developer- Developed distributed systems supporting low-latency trading infrastructure (<10µs latency targets).
- Built components of a custom order management system processing high-volume market data.
- Implemented messaging infrastructure with Kafka, gRPC, UDP, and Chronicle Queue; designed sharded relational databases optimized for high-performance writes with S3 archival.
- 2021 – 2022
Independent Algorithmic Trading Platform
Designer / Operator- Designed a probabilistic trading platform executing $10M+ in options trades.
- Built real-time market data ingestion from multiple broker APIs; statistical signal generation in Python and pandas.
backed by → the OMS project - 2020 – 2022
Health Restored
Software Developer- Built clinical biomarker analysis software automating lab interpretation and physician reports.
- 2016 – 2017
Cryptocurrency AlgoTrader
Co-Founder- Built a multi-exchange cryptocurrency arbitrage trading system on cross-market price discrepancies.
backed by → the arbitrage project
Research
- 2015 – 2016
Emerald Cloud Lab
Senior Lab Scientist- Designed and automated robotic DNA & PNA synthesis, cell culture, and molecular experimentation.
- 2013 – 2015
Akina Virology Lab
Research Associate- Published research on viral vector engineering and gene therapy systems in Virology, 2016.
Education
- Colorado State University — B.S. Biomedical Science (Highest Honors, Dean's List, Keynote Speaker)
- Stanford Online — Algorithm Design
- Udacity — Data Analysis
Skills
| Languages | Python, Java, JavaScript |
|---|---|
| AI / ML systems | LangGraph, ReAct agent architectures, LLM tooling, agent orchestration |
| Distributed systems | Kafka, gRPC, data streaming, Chronicle Queue |
| Cloud infrastructure | AWS Lambda, Fargate, API Gateway, DynamoDB, S3, RDS |