{
  "$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
  "basics": {
    "name": "Jordan Kail",
    "label": "Staff Software Engineer, Agent 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 Agent 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, Agent Platform",
      "highlights": [
        "Created the Agent Platform team after establishing data engineering; built agent harnesses and an internal agents factory for production workflows.",
        "Build tracing, replay, and evaluation harnesses to measure agent behavior and regression-test releases.",
        "Build and operate agents for infrastructure, finance, and internal workflows, improving on-call response and infrastructure maintenance.",
        "Established and scaled data engineering from one engineer to 15+, setting technical direction for Together's AI cloud.",
        "Build pipelines, storage, and telemetry for inference and training workloads to inform product, reliability, and capacity decisions.",
        "Contributed to multiple patent-pending innovations in agent systems."
      ],
      "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": "AI Billing System",
      "description": "A proof-of-concept application for tracking and billing AI chat thread interactions with real-time cost metrics and analytics.",
      "highlights": [
        "Built an AI billing prototype with real-time cost tracking for chat interactions."
      ],
      "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": "Featured on TechCrunch - Won internal hackathon and created the ability for Facebook group admins to invite users to their groups by generating a QR Code. Used by millions daily.",
      "highlights": [
        "Won an internal hackathon with QR-code group invitations used by millions daily; featured in 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": "Jobbr",
      "description": "An AI-assisted job-search prototype that parses tech-company postings into structured data and matches them to resumes, using Python, LangChain, FastAPI and OpenAI.",
      "highlights": [
        "Built an AI job-matching prototype that parses postings and matches resumes using Python, LangChain, FastAPI, and OpenAI."
      ],
      "keywords": [
        "Python",
        "FastAPI",
        "LangChain",
        "OpenAI",
        "Web Scraping"
      ],
      "url": "https://github.com/jckail/Jobbr"
    },
    {
      "name": "Portfolio Website",
      "description": "A fully custom-built portfolio site showcasing my skills and work. Made with FastAPI and React, hosted on GCP via CloudRun.",
      "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": "Track airline miles, hotel points, and credit card rewards in one place. A TypeScript monorepo with a Next.js web app, PostgreSQL, Clerk accounts, and an AWS Bedrock Claude assistant.",
      "highlights": [
        "Built a rewards-tracking app with Next.js, PostgreSQL, Clerk, and an AWS Bedrock Claude assistant."
      ],
      "keywords": [
        "TypeScript",
        "Next.js",
        "React",
        "Tailwind CSS",
        "PostgreSQL",
        "Drizzle ORM",
        "Clerk",
        "AWS Bedrock",
        "AWS CDK",
        "Vitest"
      ],
      "url": "https://github.com/jckail/point_bot"
    },
    {
      "name": "Algo Crypto",
      "description": "Trading algorithm via scraped crypto, NASDAQ, and CPME rare minerals data. Made with Flask, Pandas, AWS, and SageMaker.",
      "highlights": [
        "Developed a Python-based data analysis tool to collect, process, and analyze real-time cryptocurrency data from APIs (CryptoCompare, CoinMarketCap, Alpha Vantage). Engineered a multithreaded data ingestion system to efficiently handle multiple data sources and ensure low-latency processing. Leveraged AWS services (S3, Glue, Athena) to create a scalable cloud-native architecture capable of handling large datasets. Applied stepwise regression and K-means clustering to detect market trends and correlations between traditional assets and cryptocurrencies. Demonstrated advanced data engineering skills by building modular components focused on data acquisition and ML-powered reporting. Highlighted problem-solving and financial technology expertise, navigating API integration challenges and delivering actionable insights into cryptocurrency trends."
      ],
      "keywords": [
        "Python",
        "Flask",
        "Pandas",
        "AWS",
        "SageMaker"
      ],
      "url": "https://github.com/jckail/crypto_trader"
    },
    {
      "name": "goPilot",
      "description": "Agentic AI developer assistant and cli tool to help debug, develop, and compile apps written in GO. Built using python and go leveraging OpenAI assistants api.",
      "highlights": [
        "Built an agentic CLI assistant for debugging, developing, and compiling Go applications with Python, Go, and OpenAI."
      ],
      "keywords": [
        "Python",
        "Go",
        "OpenAI API",
        "CLI"
      ],
      "url": "https://github.com/jckail/goPilot"
    },
    {
      "name": "Data Playground",
      "description": "An interactive data-engineering lab for pipeline DAGs, data models, SQL analytics, 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"
    }
  ],
  "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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    "version": "v1.0.0",
    "lastModified": "2026-10-06T20:41:12Z"
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