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Open to senior AI / full-stack roles

Alireza RastinehFull Stack AI Engineer

Alireza Rastineh — I turn language models into products that keep working after the demo.

Reliable cloud infrastructure and defensive AI, built to run in production.

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Case studies

Selected work

  • TODO: Five-word descriptor

    TODO: Project One

    TODO: One-sentence hook describing exactly what the product does and who it helps.

    • TypeScript
    • Python
    • FastAPI
    • Postgres
    Details
    Problem

    TODO: Pain point that existed before this software. Quantify the cost (hours, dollars, headcount).

    Architecture

    TODO: Models and AI pipelines used. Name the LLM, the orchestration framework, the retrieval strategy.

    Infrastructure

    TODO: How the AI is served and consumed. Backend framework, database, frontend stack, deployment target.

    Outcomes
    • TODO: Concrete metric #1 (e.g. reduced X by Y%)
    • TODO: Concrete metric #2 (latency, throughput, cost)
    • TODO: Concrete metric #3 (adoption, retention, savings)
  • TODO: Five-word descriptor

    TODO: Project Two

    TODO: One-sentence hook.

    • Angular
    • Node.js
    • Redis
    Details
    Problem

    TODO: Business problem.

    Architecture

    TODO: AI architecture.

    Infrastructure

    TODO: Infrastructure.

    Outcomes
    • TODO: Metric #1
    • TODO: Metric #2
    • TODO: Metric #3
  • TODO: Five-word descriptor

    TODO: Project Three

    TODO: One-sentence hook.

    • React
    • PyTorch
    • Docker
    Details
    Problem

    TODO: Business problem.

    Architecture

    TODO: AI architecture.

    Infrastructure

    TODO: Infrastructure.

    Outcomes
    • TODO: Metric #1
    • TODO: Metric #2
    • TODO: Metric #3

What I work with

Skills

  • frontend + backend + AI

    Core Architecture

    • TypeScript
    • Angular
    • React
    • Next.js
    • Node.js
    • Python
    • FastAPI
    • Hono
    • REST
    • GraphQL
    • WebSockets

    I build responsive interfaces in Angular and React that consume high-throughput Python FastAPI backends, seamlessly routing complex user queries to custom-tuned LLMs.

  • database + API + AI

    AI / ML Stack

    • PyTorch
    • LangChain
    • OpenAI API
    • Anthropic API
    • RAG
    • Vector Search
    • Pinecone
    • pgvector
    • Semantic Caching
    • Prompt Engineering
    • Output Parsing

    I leverage PostgreSQL with pgvector extensions alongside Node.js to create lightning-fast Retrieval-Augmented Generation architectures that deliver accurate, context-aware data to the client.

  • data + ML + cloud

    DevOps & Cloud

    • Docker
    • GitHub Actions
    • Caddy
    • Hetzner
    • Linux
    • Nginx
    • CI/CD

    By orchestrating PyTorch model training pipelines via Docker and GitHub Actions, I ensure that machine learning services deploy cleanly into scalable, highly available cloud environments.

  • storage + streams

    Data Pipelines

    • PostgreSQL
    • Redis
    • Drizzle ORM
    • Prisma
    • Kafka
    • BullMQ

    Typed schemas, vector indexes, and async queues keep inference jobs, embeddings, and user data flowing without bottlenecks.

How I work

About

Building AI applications in a Jupyter notebook is easy; keeping them stable in production is hard. My engineering philosophy centers on defensive AI integration. I treat language models as powerful but unpredictable microservices. By implementing strict semantic routing, output parsing, and automated fallback mechanisms, I actively mitigate hallucinations and enforce reliable data structures. I prioritize the user experience by streaming tokens to the frontend to mask latency, while simultaneously optimizing prompt payloads and leveraging semantic caching to keep API inference costs strictly under control. I don't just write prompts; I engineer resilient, full-stack systems around them.

Alireza Rastineh@alirezarastineh

Based in
Berlin - Remote
Status
Open to senior AI / full-stack roles

Let’s talk

Contact

Email

contact@alirezarastineh.me

Open to senior AI / full-stack roles

Berlin - Remote

I reply within two working days.

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