Good systems don't happen by accident. they're engineered!

Improved operational performance across departments by replacing manual workflows with elegant systems and automated checks.

Identified and corrected systemic bottlenecks in registration, scoring, QC, and reference management processes.

Developed SOPs, RACI matrices, validation libraries, and quality pipelines to standardize high-stakes exam operations.

Led through calm, quiet consistency by designing systems that reduce stress, eliminate guesswork, and scale with organizational growth.

Architected a cloud-native ETL and scoring pipeline using AWS S3, Lambda (containerized), RDS, and automated database schema creation, reducing scoring runtime by 92%.

Designed relational data models for complex, multi-table reporting pipelines across 38+ computed tables.

Built reproducible, stand-up/tear-down cloud environments to support high-stakes annual scoring cycles with minimal overhead.

Developed operational workflows that integrated automation, validation, and documentation for long-term sustainability.

Translated messy, high-volume exam workflows into structured technical requirements that engineering could execute.

Interfaced between psychometrics, client-facing teams, and developers to align technical capabilities with operational realities.

Rewrote ambiguous business requirements into clear system architecture and simplified user workflows.

Designed validation frameworks that caught inconsistencies before they reached engineering or clients.

Built schema-driven SQL pipelines from scratch for high-stakes score reporting systems using AWS Lambda and containerized Python environments.

Automated ingestion processes and metadata governance (including md5-based deduplication) for thousands of reference documents across distributed repositories.

Designed dynamic validation libraries to enforce schema, data quality, and consistency across multiple data sources.

Converted manual, multi-day workflows into one-click or event-triggered processes.

Implemented Dockerized Lambda functions for infrastructure reproducibility.

Designed cloud environments flexible enough to spin up for annual scoring and shut down afterward for cost efficiency.

Created documentation and fallback run-paths to ensure non-engineers could safely operate cloud-based systems.

Explored early Infrastructure-as-Code concepts and Terraform patterns to improve environment management.

Created the Signal Flow Method to analyze complex intracellular signaling networks using Boolean logic and network topology.

Built and analyzed computational neuron models (self-taught C++, VBA), integrating electrophysiology with biological hypotheses.

Investigated scale-free network structures to resolve contradictory experimental hypotheses, translating complexity into insight.

Applied the same analytical rigor to operational systems, enabling me to see structural problems others overlook.

Constraint Analysis (TOC): Find the single process limiting your team’s capacity and flow.

Failure Mode Mapping (FMEA): Identify where and why the system is breaking using proven engineering methods.

Ownership Architecture (RACI): Clarify roles, decision rights, and accountability across cross-functional workflows.

Leverage-Based Prioritization (80/20 + Impact Scoring): Reveal the 20% of work that will resolve 80% of your operational friction.

your highest-leverage opportunities

your biggest operational risks

your most impactful next steps

a path toward scalable, elegant workflows

Small companies ready to scale

Operations leaders under constant pressure

Cross-functional teams navigating complexity