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Jordan Hudgens
Projects

Teaching systems and production AI, built and led.

Nine projects across two tracks: developer education, from instructor development at Bottega University to customer AI training at Encapsa, and production AI and enterprise engineering. Each one covers my role, the work, the results and the team behind them.

projects
9
enterprise deployments
300+
curriculum learners
250K+

Featured · Project 01 · Developer education

Teaching the people who teach. Required onboarding, observed teaching, formal clearance and ongoing instructor development at Bottega University, led by Jordan Hudgens.

  • Required onboarding before teaching
  • Teaching observations and dry runs
  • Formal cleared-to-teach rubric
  • Instructor hiring, reviews and contract renewals
Read the case studyBottega University · October 2016–July 2024

9 of 9 projects

Which projects show developer education leadership?

These projects show how Jordan builds technical education: the instructor-development system at Bottega University, books and courses used by 250,000+ learners, the DevCamp learning platform acquired by Bottega University, and customer AI training during every Encapsa deployment. Together they connect instruction, curriculum and the software that supports learning.

Which projects show production AI and enterprise engineering?

These projects show Jordan’s production AI and enterprise engineering leadership: the Encapsa platform across 300+ live deployments, a governed context foundation covering 100% of platform data, selected customer workflows in underwriting, energy, education and hospitality, and an earlier Director of IT role across 30+ US locations.
  1. Project 02Ongoing program

    Production AI and engineering

    Encapsa: Enterprise AI Platform & Engineering Leadership

    Jordan Hudgens leads Encapsa’s production AI platform: 300+ deployments, agents, retrieval, self-hosted inference and customer training.

    300+ live enterprise deployments

  2. Project 04Selected team delivery

    Production AI and engineering

    Commercial Underwriting Automation: Three Days to 15 Minutes

    An Encapsa team delivery cut underwriting submission-to-decision time from three days to 15 minutes and recaptured 300+ staff hours monthly.

    3 days to 15 min submission to decision

Questions about these projects

Attribution, anonymous customers, the skills involved and where to see the work.

Are these individual or team results?

Each project names Jordan’s role. Instructor development, technical education and enterprise IT describe responsibilities Jordan held himself. The Encapsa customer results are deliveries by the eight-person team he leads, shown without customer names, and none of them is presented as his solo work.

Why are some customers anonymous?

Encapsa keeps customer identities private. Each anonymous project still names its sector, workflow and result, such as three days to 15 minutes for commercial underwriting, without exposing customer systems, contracts or confidential implementation details. Questions about a specific engagement are best discussed with Jordan directly.

Which skills do these projects show?

The education projects center on technical training, instructor-led training, instructional design and curriculum development. The engineering projects cover large language models, retrieval-augmented generation, software architecture, workflow automation and engineering management. Each project page lists five skills with the specific work behind each one, from instructor clearance to self-hosted inference.

Where can I see the work itself?

The teaching projects link to public books, Udemy courses, a live React workshop and a RubyHACK conference recording. The engineering projects describe production systems and customer results while customer systems stay private, so Ask Jordan Bot or a direct conversation with Jordan is the best route to more technical detail.

Teaching at scale. Building in production.

Curricula used by 250,000+ learners across platforms and schools.

300+ live enterprise deployments across seven verticals.