Work

Case studies in developer experience, platform engineering, and teaching.

Consulting engagement

Developer experience & platform strategy

A full developer-experience assessment for a high-growth fintech with engineering surveys, leadership interviews, and an executive roadmap for deploys, local development, and platform organization.

Scope

  • Engineering survey and structured interviews across product, platform, and operations teams
  • Audit of deploy pipelines, local dev tooling, documentation practices, and platform team ownership
  • Executive report synthesizing findings into prioritized recommendations and an org design

Key findings

  • Manual deploy coordination via Trello and Jenkins was estimated to consume ~270 engineer-hours per week — roughly seven full-time developers' worth of time
  • Docker and local development environments were the top frustration for 60% of surveyed developers, with resets taking up to 30 minutes
  • Platform responsibilities were unclear across operations, developer systems, and data engineering — even among the teams themselves
  • Documentation was fragmented across Confluence, repo READMEs, and ad-hoc tools, driving tribal knowledge and siloing

Deliverables

  • Roadmap to replace manual deploy queues with automated continuous deployment and actionable deploy logging
  • Plan to consolidate local dev containers, migrate off a home grown solution, and adopt Docker Compose with shared adjacent services
  • Proposed Platform department reorganized into CI/CD, developer infrastructure, containers, and datastores teams — with hiring plan to address bus-factor risk

Platform engineering

Continuous deployment at scale

Redesigned the deployment system for a major developer platform as engineering headcount doubled — replacing chat-based coordination with automated, observable releases.

Scope

  • Assessment of branch-deploy workflows, canary coverage, and deploy monitoring under rapid org growth
  • Design of a state-machine deploy model with automated stage progression and rollback paths
  • Integration with existing chatops entry points and a first-party deploy overview UI

Key findings

  • A single high-traffic coordination channel could no longer track deploy state — developers pieced together hundreds of messages to follow one release
  • A single low-percentage canary stage missed issues that only surfaced at full production traffic
  • Developers spent significant time babysitting multi-step deploys instead of shipping

Deliverables

  • Automated deploy progression from a single command, with timed gates between stages
  • Multi-tier canary rollout to catch failures earlier without unacceptable blast radius
  • Consolidated deploy UI replacing fragmented chat updates — informed later industry CD patterns

Developer infrastructure

Developer environment platform

Evolution of local development infrastructure for a large commerce platform — from fragmented per-team setups to a unified CLI and shared service runtime.

Scope

  • Historical assessment of developer environment approaches across years of company growth
  • Design and rollout of a command-line platform for cloning, bootstrapping, testing, and running services
  • Architecture splitting application code on-host from shared infrastructure in a lightweight VM

Key findings

  • Full-machine VMs were slow for code iteration; running everything on-host made services fragile and hard to reset
  • Teams needed one command to go from zero to a working project, including migrations and dependencies
  • Deviating from the standard stack was near-impossible, stifling experimentation

Deliverables

  • Unified developer CLI adopted across the majority of active repositories
  • Service VM pattern separating code from MySQL, Redis, and reverse proxy infrastructure
  • Documented migration path toward container-native local environments and remote service mocks

Developer productivity

Engineering productivity at scale

Systems and practices for scaling engineering standards across thousands of developers and repositories — without adding friction to everyday work.

Scope

  • Framework for tests and error messages as just-in-time education at organizational scale
  • Dependency graph analysis across ~1,000 repositories to identify representative test targets
  • Performance profiling and boot-time optimization for a widely used Ruby toolchain
  • Mitigations for version-control pain points in very large repositories
  • Managed developer tooling suites for teams with thousands of engineers & developers

Key findings

  • Word-of-mouth standards break down as teams grow — automated guardrails scale better than policy
  • Developers need errors that explain what went wrong, why it matters, and how to fix it
  • Large dependency changes require representative repo clusters, not ad-hoc manual selection
  • Boot-time friction compounds across every test run and every developer machine

Deliverables

  • Test-driven deprecation patterns and actionable error messaging adopted org-wide
  • Graph-based clustering methodology for safe large-scale dependency rollouts
  • 60% reduction in Ruby application boot time through profiling and toolchain improvements
  • Documented strategies for clone, fetch, and pull performance in monolithic repositories

Teaching & events

Teaching & education

Building bridges between industry and the classroom — from university capstone instruction and industry networking events to founding a not-for-profit teaching children to code.

Scope

  • Founded and organized an annual industry day connecting students with developers, data scientists, product managers, and recruiters
  • Taught the capstone design course through a university innovation lab, exposing students to startup technologies, ideas, and processes
  • Founded a not-for-profit teaching children aged 7–13 the basics of coding, technology, and design

Key findings

  • Students benefit most when industry contact is structured and recurring, not limited to one-off career fairs
  • Capstone courses need real startup constraints — ambiguity, timelines, and shipping — not isolated toy projects
  • Early computing education works best with hands-on, age-appropriate curriculum and sustained community support

Deliverables

  • Multi-year industry day program at a leading computer science department
  • Capstone cohorts guided from product idea through design, implementation, and demo
  • Not-for-profit reaching children across multiple communities with a repeatable coding curriculum

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