Curriculum vitae

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.

Download as PDF ↓ · LinkedIn ↗ · GitHub ↗

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

  1. 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.
  2. 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
  3. 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.
  4. 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
  5. 2020 – 2022

    Health Restored

    Software Developer
    • Built clinical biomarker analysis software automating lab interpretation and physician reports.
  6. 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

  1. 2015 – 2016

    Emerald Cloud Lab

    Senior Lab Scientist
    • Designed and automated robotic DNA & PNA synthesis, cell culture, and molecular experimentation.
  2. 2013 – 2015

    Akina Virology Lab

    Research Associate
    • Published research on viral vector engineering and gene therapy systems in Virology, 2016.

Education

Skills

LanguagesPython, Java, JavaScript
AI / ML systemsLangGraph, ReAct agent architectures, LLM tooling, agent orchestration
Distributed systemsKafka, gRPC, data streaming, Chronicle Queue
Cloud infrastructureAWS Lambda, Fargate, API Gateway, DynamoDB, S3, RDS