{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Jordan Kail",
    "label": "Staff Software Engineer, Agents Platform at Together AI",
    "image": "https://www.jckail.com/images/headshot/headshot.webp",
    "email": "jckail13@gmail.com",
    "url": "https://www.jckail.com/",
    "summary": "Staff Software Engineer with 13+ years of experience and deep expertise in AI agents and distributed data systems. Established Together AI's data engineering team, then created its Agents Platform team. Built production agent harnesses and evaluation infrastructure, AI/ML classifiers at Meta, and model governance frameworks at Prove Identity.",
    "location": {
      "city": "San Francisco",
      "region": "CA",
      "countryCode": "US"
    },
    "profiles": [
      {
        "network": "GitHub",
        "username": "jckail",
        "url": "https://github.com/jckail"
      },
      {
        "network": "LinkedIn",
        "username": "jckail",
        "url": "https://www.linkedin.com/in/jckail/"
      }
    ]
  },
  "work": [
    {
      "name": "Together AI",
      "location": "San Francisco, CA",
      "position": "Staff Software Engineer, Agents Platform",
      "highlights": [
        "Created the Agents Platform team; built agent harnesses and an internal agents factory for production workflows.",
        "Build and operate agents for infrastructure, finance, and internal workflows, improving on-call response and infrastructure maintenance.",
        "Build tracing, replay, and evaluation harnesses to measure agent behavior and regression-test releases.",
        "Contributed to multiple patent-pending innovations in agent systems.",
        "Established and scaled data engineering from one engineer to 15+ engineers, setting technical direction for Together’s AI cloud."
      ],
      "url": "https://www.together.ai/",
      "startDate": "2025-02"
    },
    {
      "name": "Prove Identity",
      "location": "Denver, CO",
      "position": "Staff Software Engineer",
      "highlights": [
        "Built agent frameworks and harnesses for statistical model governance in identity verification and fraud resolution.",
        "Built RAG chatbots with Airflow, LangChain, and OpenAI, automating 150+ hours of manual work per week.",
        "Led the company-wide migration from Java/Oracle to Go/PostgreSQL, cutting API response times from 40s to 12ms and operating costs by 95%.",
        "Moved 1,200+ batch jobs to real-time Go, Kafka, and Flink pipelines, reducing data latency from days to seconds."
      ],
      "url": "https://www.prove.com/",
      "startDate": "2023-06",
      "endDate": "2025-01"
    },
    {
      "name": "Sabbatical",
      "location": "",
      "position": "Digital nomad experiment",
      "highlights": [
        "Made up for lost time during COVID-19 by road-tripping across the USA and Europe.",
        "Moved back to Colorado to tend to family."
      ],
      "startDate": "2022-10",
      "endDate": "2023-05"
    },
    {
      "name": "Meta | Facebook",
      "location": "Menlo Park, CA",
      "position": "Senior Data Engineer",
      "highlights": [
        "Built AI/ML classifiers and 100+ NLP and computer vision pipelines with Airflow, Spark, and PyTorch, supporting ad targeting and personalized notifications for billions of users.",
        "Partnered with Messenger, Groups, and an early precursor to the Llama project to fine-tune models for automated group management.",
        "Led 10+ engineers on data systems for Facebook Public Groups, Community Chats, and cross-platform initiatives.",
        "Built a framework generating thousands of asynchronous Spark pipelines, improving compute efficiency by 66%.",
        "Redesigned petabyte-scale data models, cutting storage costs by 25%."
      ],
      "url": "https://about.fb.com/",
      "startDate": "2021-01",
      "endDate": "2022-09"
    },
    {
      "name": "Deloitte",
      "location": "Atlanta, GA + Menlo Park, CA",
      "position": "Consultant - AI & Advanced Analytics",
      "highlights": [
        "Automated approximately 31% of manually processed healthcare claims with transformer models, saving 250,000+ hours annually.",
        "Optimized exabyte-scale video reliability metrics, cutting daily processing time by 90% while expanding coverage.",
        "Led 20+ consultants delivering AI and analytics systems for Fortune 50 clients."
      ],
      "url": "https://www2.deloitte.com/ch/en/pages/strategy-operations/solutions/analytics-and-cognitive.html",
      "startDate": "2018-12",
      "endDate": "2020-12"
    },
    {
      "name": "Wide Open West",
      "location": "Denver, CO",
      "position": "Senior Data Engineer",
      "highlights": [
        "Built classification and churn models that increased customer package upgrades by 22% year over year.",
        "Led 5 data practitioners delivering BI and analytics to sales, product, and engineering teams."
      ],
      "url": "https://www.wowway.com/",
      "startDate": "2017-11",
      "endDate": "2018-12"
    },
    {
      "name": "Common Spirit Health",
      "location": "Denver, CO",
      "position": "Data Engineer",
      "highlights": [
        "Built REST APIs and data lakes, reducing processing time for partner data products from 7 days to 5 minutes.",
        "Built Python and SQL forecasting pipelines for hospital procedures, billing, and staffing; cut billing turnaround from 14 to 7 days."
      ],
      "url": "https://www.commonspirit.org/",
      "startDate": "2016-09",
      "endDate": "2017-11"
    },
    {
      "name": "AcuStream | R1",
      "location": "Boulder, CO",
      "position": "Software Engineer - Data",
      "highlights": [
        "Built a rules-based and ML invoicing system supporting $300M+ in annual revenue.",
        "Replaced SFTP transfers with real-time Flask and Kafka APIs, cutting data delivery time by 50%."
      ],
      "url": "https://www.r1rcm.com/",
      "startDate": "2013-04",
      "endDate": "2016-09"
    }
  ],
  "education": [
    {
      "institution": "University of Colorado Boulder",
      "area": "Computer Science",
      "startDate": "2011-08",
      "endDate": "2013-03"
    }
  ],
  "projects": [
    {
      "name": "Portfolio Agent Platform",
      "description": "A recruiter-facing agent with public MCP and GraphQL context, bounded tools, and reviewed contact actions.",
      "highlights": [
        "Built this portfolio with FastAPI and React, deployed on Google Cloud Run."
      ],
      "keywords": [
        "TypeScript",
        "React",
        "Vite",
        "Python",
        "FastAPI",
        "Pydantic",
        "Docker",
        "GCP Cloud Run",
        "Terraform",
        "Supabase",
        "Anthropic Claude"
      ],
      "url": "https://github.com/jckail/portfolio"
    },
    {
      "name": "PointUp",
      "description": "A loyalty portfolio with trip goals, qualified redemption estimates and reviewable agent proposals across web, MCP and browser-extension workflows.",
      "highlights": [
        "Built a loyalty portfolio with shared TypeScript workflows for web, agents and consented browser capture."
      ],
      "keywords": [
        "TypeScript",
        "Next.js",
        "React",
        "Tailwind CSS",
        "PostgreSQL",
        "Drizzle ORM",
        "Clerk",
        "AWS Bedrock",
        "AWS CDK",
        "Vitest"
      ],
      "url": "https://github.com/jckail/point_bot"
    },
    {
      "name": "Data Playground",
      "description": "A reproducible synthetic commerce lab for event validation, SQL metrics, dependency DAGs, graphs and vector similarity.",
      "highlights": [
        "Built a reproducible synthetic commerce pipeline with seeded event generation, deduplication, schema and lifecycle checks, and SQL analytics. Explore acquisition and retention scenarios, inspect quarantined records, and trace conversion, collected revenue, and cohort retention to the queries that compute them. The public React lab serves generated Python runs without a database; a bounded FastAPI service supports custom simulations when configured. A separate synthetic commerce dataset connects products, customers, and purchases in a relationship graph and explains cosine similarity over handcrafted product feature vectors. An engineering workbench exposes executable dependency DAGs, retry and failure traces, model grains and contracts, and architecture decisions grounded in the implementation. The original PostgreSQL and Streamlit experiment remains in the source repository."
      ],
      "keywords": [
        "Python",
        "SQL",
        "SQLite",
        "FastAPI",
        "Pydantic",
        "React",
        "TypeScript",
        "Docker"
      ],
      "url": "https://github.com/jckail/data_playground"
    },
    {
      "name": "OpenDataCenter",
      "description": "A research atlas for public data-center infrastructure, with source provenance and transparent uncertainty.",
      "highlights": [
        "A research atlas for public data-center infrastructure, with source provenance and transparent uncertainty."
      ],
      "keywords": [],
      "url": "https://opendatacenter.info/"
    },
    {
      "name": "Kefi",
      "description": "A live-music companion for discovering concerts, making plans with friends, and keeping a show diary.",
      "highlights": [
        "A live-music companion for discovering concerts, making plans with friends, and keeping a show diary."
      ],
      "keywords": [],
      "url": "https://kefi.show/"
    },
    {
      "name": "Jobdog",
      "description": "A job-search workspace bringing job discovery, saved opportunities, and application work together.",
      "highlights": [
        "A job-search workspace bringing job discovery, saved opportunities, and application work together."
      ],
      "keywords": [],
      "url": "https://jobdog.ai/"
    },
    {
      "name": "Jobbr",
      "description": "The Jobbr entry into Jobdog’s job-search and résumé workflow.",
      "highlights": [
        "Built Jobbr, a job-search and résumé workflow within Jobdog."
      ],
      "keywords": [],
      "url": "https://jobdog.ai/jobbr/#/"
    },
    {
      "name": "AI Thread Billing",
      "description": "A prototype for per-thread AI token metering and cost reporting through an event-driven billing pipeline.",
      "highlights": [
        "Built a prototype for per-thread AI usage metering and event-driven cost reporting."
      ],
      "keywords": [
        "Python",
        "FastAPI",
        "React",
        "Pydantic",
        "SQLAlchemy",
        "SQLite",
        "Kafka",
        "Redis",
        "Streamlit",
        "Docker"
      ],
      "url": "https://github.com/jckail/ai_chat_billing_app"
    },
    {
      "name": "Super Teacher",
      "description": "A classroom copilot that answers 'who needs me today, and why?' with a ranked needs-attention list, a gradebook, attendance, and a streaming Claude assistant grounded in the class data.",
      "highlights": [
        "Built a classroom copilot with a streaming Claude assistant, prioritized student needs, a gradebook, and attendance."
      ],
      "keywords": [
        "Python",
        "FastAPI",
        "Pydantic",
        "SQLAlchemy",
        "SQLite",
        "Alembic",
        "React",
        "TypeScript",
        "Anthropic Claude",
        "Docker",
        "GCP"
      ],
      "url": "https://github.com/jckail/superteacher"
    },
    {
      "name": "Join Group via QR",
      "description": "QR-code invitations for Facebook groups, covered in TechCrunch’s announcement of group-admin tools.",
      "highlights": [
        "Contributed QR-code group invitations at Meta, a feature covered by TechCrunch."
      ],
      "keywords": [],
      "url": "https://techcrunch.com/2022/03/09/facebook-rolls-out-new-tools-for-group-admins-to-manage-their-communities-and-reduce-misinformation/"
    },
    {
      "name": "goPilot",
      "description": "Legacy Python and shell helpers for exporting Go-project context and running external lint, test and assistant workflows.",
      "highlights": [
        "Built Python and shell helpers for Go-project context export, checks and historical assistant workflows."
      ],
      "keywords": [
        "Python",
        "Shell",
        "OpenAI API",
        "CLI"
      ],
      "url": "https://github.com/jckail/goPilot"
    },
    {
      "name": "Crypto Trader",
      "description": "A historical Python project exploring market-data ingestion and query/regression experiments.",
      "highlights": [
        "A 2017–2018 learning project with an alpha ingestion runner and omega query/regression experiments. The public source does not establish trade execution, a frontend or a production deployment. It is unmaintained and not runnable as-is. The portfolio’s synthetic browser demo is an explanatory illustration, not a live trading system."
      ],
      "keywords": [
        "Python",
        "Pandas",
        "AWS"
      ],
      "url": "https://github.com/jckail/crypto_trader"
    },
    {
      "name": "Quarg",
      "description": "A design-stage graph database for agents, connecting knowledge, tasks, actions, and provenance in one typed model.",
      "highlights": [
        "Explores a shared, event-sourced graph for agent applications, with typed entities, attributable changes, and context retrieval. Current work includes architecture research and early storage foundations."
      ],
      "keywords": [
        "Go",
        "TypeScript",
        "Knowledge Graphs"
      ],
      "url": "https://www.jckail.com/?contact=open#projects"
    },
    {
      "name": "Starling",
      "description": "A Rust coding-agent engine and embeddable SDK built around a small core and replaceable providers, tools, and hosts.",
      "highlights": [
        "Developing a shared execution engine for command-line and embedded coding agents. The design emphasizes explicit tool permissions, durable sessions, and extension points for providers and MCP tools."
      ],
      "keywords": [
        "Rust",
        "MCP",
        "Agent Harnesses"
      ],
      "url": "https://www.jckail.com/?contact=open#projects"
    },
    {
      "name": "Agent Hub",
      "description": "A local control plane for coordinating coding agents, shared context, tools, and task handoffs across multiple harnesses.",
      "highlights": [
        "Brings agent management, task context, tool access, and execution evidence into a local workspace. A working continuity service supports cross-harness handoffs while the broader management platform is in active development."
      ],
      "keywords": [
        "Go",
        "Python",
        "React",
        "TypeScript",
        "MCP"
      ],
      "url": "https://www.jckail.com/?contact=open#projects"
    },
    {
      "name": "DoubleTake",
      "description": "Local task-readiness and review tools that help coding agents clarify requirements and check results against an agreed contract.",
      "highlights": [
        "Helps turn a request into a cited brief, explicit review, and machine-checkable acceptance criteria. A local task desk and coding-agent adapters keep the agreed scope and verification evidence together."
      ],
      "keywords": [
        "TypeScript",
        "Node.js",
        "MCP"
      ],
      "url": "https://www.jckail.com/?contact=open#projects"
    }
  ],
  "skills": [
    {
      "name": "AI & Agent Engineering",
      "keywords": [
        "Agent runtimes & harnesses",
        "Multi-agent orchestration",
        "Tool execution & MCP",
        "Context & memory",
        "Agent/LLM evaluation",
        "Tracing & replay",
        "RAG"
      ]
    },
    {
      "name": "Software Engineering",
      "keywords": [
        "Python",
        "SQL",
        "Go",
        "Rust",
        "TypeScript",
        "API & SDK design",
        "Distributed systems"
      ]
    },
    {
      "name": "Agent Tools & Frameworks",
      "keywords": [
        "Claude Code",
        "Codex",
        "Cursor",
        "Pi",
        "LangChain",
        "Custom agent frameworks"
      ]
    },
    {
      "name": "Knowledge & Graph Systems",
      "keywords": [
        "Graphify",
        "Knowledge graphs",
        "Graph traversal",
        "Neo4j",
        "PostgreSQL",
        "SQLite",
        "Vector search"
      ]
    },
    {
      "name": "Cloud & Platform",
      "keywords": [
        "Kubernetes",
        "Docker",
        "Linux",
        "AWS",
        "Google Cloud",
        "Terraform",
        "OpenTelemetry",
        "Prometheus"
      ]
    },
    {
      "name": "Data Infrastructure",
      "keywords": [
        "Kafka",
        "Flink",
        "Spark",
        "Airflow",
        "dbt",
        "Iceberg",
        "Snowflake",
        "Databricks",
        "BigQuery"
      ]
    }
  ],
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