Skills & Proficiency

Tools of the trade

A breakdown of my technical proficiency across the full stack — from pixel-perfect UIs to cloud infrastructure and AI tooling.

Expert90–100%

Advanced80–89%

Proficient70–79%

Front-End

UI architecture, design systems, and performance-driven rendering patterns.

React97%

TypeScript96%

Next.js94%

Tailwind CSS92%

Storybook88%

Radix UI85%

CSS Modules88%

Web Vitals90%

Accessibility (WCAG 2.2)87%

Back-End

APIs, event-driven architecture, and data modelling at scale.

Node.js (Express / Fastify)92%

Python (FastAPI)88%

REST API Design93%

GraphQL82%

PostgreSQL85%

Redis80%

Snowflake78%

Idempotent Webhooks87%

Event-Driven Jobs88%

Data & AI Tooling

LLM evaluation frameworks, red-teaming flows, and RLHF review tooling.

Evaluation Dashboards94%

Red-teaming Flows88%

RLHF Reviewer Tools90%

LLM Observability91%

Vector & Semantic Search80%

Safety Taxonomies85%

Cloud & Infrastructure

Serverless, container orchestration, and infrastructure as code.

AWS Lambda / API Gateway90%

Step Functions / EventBridge87%

DynamoDB85%

Docker88%

Kubernetes78%

AWS CDK / CloudFormation85%

OpenTelemetry82%

Product & Quality

Component libraries, analytics instrumentation, and experiment infrastructure.

Design Systems93%

Component Libraries92%

Accessibility Audits87%

Analytics Instrumentation85%

Feature Flags84%

Experiment Panels82%

Testing

End-to-end, integration, and unit testing across the full stack.

Playwright88%

Cypress85%

Vitest90%

Jest92%

Pytest82%