NADAV@OAKLAND:~$
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HELLO, I'M

NADAV SOMEKH


Full stack engineer for founders shipping their first product.

Web apps, APIs, data and AI features, built end to end. Oakland, Bay Area, California.

WHAT I BUILD

WEB APPS & APIS

Custom web apps, APIs, and backend systems, built to keep working past launch.

DATA LAYER

Database design and optimization, so the product stays fast as your data grows.

ECOMMERCE

Storefronts, checkout, and payment integration.

MVP BUILDS

From idea to a product your first users can sign in to, as an MVP build or a founding engineer engagement.

AI FEATURES

LLM integration and AI-powered features that do real work inside your product.

02_SKILLS

SYSTEM ARCHITECTURE & API DESIGN

Designing modular, scalable systems across REST, GraphQL, microservices, and event-driven architectures. Experienced breaking apart distributed monoliths into clean service boundaries.

BACKEND DEVELOPMENT

Node.js, NestJS, Express, Python, FastAPI, TypeScript. Deep expertise in authentication and authorization (JWT, OAuth 2.0, RBAC, API security).

FRONTEND DEVELOPMENT

React, Tailwind, MUI, responsive design. Strong UX/UI instincts with a focus on performance and usability.

DATABASES

PostgreSQL, MongoDB, Redis. Schema design, migrations, query optimization, and caching strategies.

CLOUD, CONTAINERS & DEVOPS

AWS, GCP, Docker, Kubernetes, GitHub Actions, CI/CD pipelines.

AI ENGINEERING

LLM integration, multi-agent workflow design, prompt engineering, vector search and embeddings, local LLM deployment with Ollama.

03_DEMOS

Examples, POCs, and samples from github.com/Nadavys

PHOTO CAPTION AGENT

Multi-agent AI pipeline that generates captions from photos — vision model + story direction + refinement loop, running via Ollama Cloud.

EVENT SOURCING WITH KAFKA + FASTAPI

Pure event-driven microservices built on event sourcing — services communicate exclusively through Kafka topics, no direct calls.

MULTI-AGENT RESEARCH PIPELINE

Implementation of a multi-agent AI pipeline — the pattern that produces better outputs than asking an LLM a single question.

MUSIC STORE MICROSERVICES

Full-stack microservices showcase — NestJS + Python workers + RabbitMQ RPC + LGTM observability stack, built on the Chinook music dataset.

MOVIE QUERY AI

Ask your database questions in plain English — Claude turns them into safe, read-only SQL and visualizes the results.

Shipping your first product? Tell me about it.

START A PROJECT

04_CONTACT

TELL ME ABOUT YOUR PROJECT