Broad enough to build. Deep enough to care.

A practical toolkit across the product lifecycle, paired with the judgment to choose fewer tools when fewer tools are better.

Engineering range

Not a pile of tools.
A connected system.

Frontend choices affect APIs. Data decisions affect AI quality. Infrastructure affects everything. I like working across those boundaries.

Active learning trackAgent orchestration · Evaluation · Applied ML
01

Frontend

Accessible, responsive interfaces with careful motion, clear hierarchy, and a strong performance baseline.

02

Backend

APIs, authentication, business logic, background work, and maintainable service architecture.

03

Agentic AI

Tool-using agents, retrieval, structured outputs, orchestration, evaluation, and human approval loops.

04

Data

Relational and document databases, caching, schema design, querying, and dependable data flows.

05

DevOps

Docker, Linux, CI/CD, cloud foundations, observability, and repeatable deployments.

Working toolkit

Tools I know and
tools I am growing into.

These are editable placeholders. The final version can reflect your exact experience level, favorite tools, certifications, and current learning path.

01
FrontendReactNext.jsTypeScriptTailwind CSSFramer Motion
02
MobileFlutterReact NativeExpoMaterial 3
03
BackendNode.jsExpress.jsDjangoREST APIs
04
AI & APIsGemini APIOpenAI APIEmailJSResend
05
DatabasesPostgreSQLMongoDBSQLitePrisma ORM
06
DevOpsDockerVercelRenderGitGitHub