Selected work across developer experience, continuous delivery, infrastructure, productivity, and education.
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.
Manual deploy coordination via Trello and Jenkins was estimated to consume ~270 engineer-hours per week — roughly seven full-time developers' worth of time
Key findings
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
Scope of work
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
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.
A single high-traffic coordination channel could no longer track deploy state — developers pieced together hundreds of messages to follow one release
Key findings
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
Scope of work
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
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.
Unified developer CLI adopted across the majority of active repositories
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
Service VM pattern separating code from MySQL, Redis, and reverse proxy infrastructure
Documented migration path toward container-native local environments and remote service mocks
Scope of work
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
Engineering productivity at scale
Systems and practices for scaling engineering standards across thousands of developers and repositories — without adding friction to everyday work.
60% reduction in Ruby application boot time through profiling and toolchain improvements
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
Documented strategies for clone, fetch, and pull performance in monolithic repositories
Scope of work
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
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.
Not-for-profit reaching children across multiple communities with a repeatable coding curriculum
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
Scope of work
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