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Sina AmarehSina Amarehavailable
Python backend · AI / LLM engineer

Ask me anything about my work.

From multi-provider RAG systems to crash-tolerant backends — ask me about anything I've built.

01Selected work

Things I've built

Production-minded open-source projects where backend resilience meets LLM engineering.

2025

ScrapeGPT

Self-hosted, AI-assisted web scraping

Paste a URL and an LLM proposes the extraction fields and selectors; the app re-validates and self-heals them against the real HTML, then crawls and exports clean CSV/JSON/XLSX.

FastAPIPostgreSQLLiteLLMReactPlaywright
2025

Aigram

Telegram, but AI-powered — a self-hosted messenger

Turns your own Telegram account into a self-hosted, installable AI messenger (formerly SakaiBot). Read and send messages with inline media in a glassy web app, and call an LLM right inside any chat — analyze, ask, translate, image, voice. AI results land in a panel, so you decide what to send.

PythonTelethonFastAPIPWAGemini
2026

PromptAmp

The prompt amplifier — your keys, any site

A browser extension that turns a rough draft into an engineered prompt inside any text field on any site — with your own API key. The result appears next to your original, nothing is replaced until you accept, and pasted code comes back byte-for-byte. Live on Firefox Add-ons.

TypeScriptWXTManifest V3VitestPlaywright
2025

RubricEval

A rubric-driven code-evaluation platform

Define a versioned rubric of weighted, gated criteria; submit a GitHub repo or ZIP and watch an LLM grade each criterion live against the real code — but a deterministic policy in code makes the final accept / review / reject call, reproducible and auditable.

Next.jsFastAPILiteLLMPostgreSQL
02About

A bit about me

I'm a Python developer with a Computer Science degree, focused on backend services and LLM-powered applications. Alongside that I work with Mercor as an AI training & evaluation contractor — designing adversarial prompts and tasks that find exactly where frontier models break. I learn mainly by building — my open-source projects are where ideas get tested and pushed toward production quality. I'm early in my career and still growing, but steady about shipping, writing tests, and seeing work through.

What I bring
  • Applied AI/LLM work — RAG, LangGraph, and multi-provider failover behind FastAPI
  • Frontier-model evaluation — adversarial prompts, golden answers, and rubrics that make failures reproducible
  • Resilient backends — jobs are leased and watchdog-recovered, so a crash means a resumed run, not lost work
  • Quick from prototype to production, with tests and clean architecture
Never had to explain something twice. Never came back empty-handed. Your biggest strength? Being a problem solver.
— my lead at Dekamond
LLM & AI
RAGLangGraphMulti-provider failoverPrompt designToken budgetingLLM evaluation
Backend
FastAPIDjango/DRFAsync APIsCeleryJWT
Data & Infra
PostgreSQLRedisDockerSQLAlchemy/AlembicLinux
Experience

AI Training & Evaluation (Contract) · Mercor

2026 · present

Adversarial evaluation of frontier LLMs — designing prompts and tasks built to make strong models fail on web search, multi-step reasoning, and the edge cases where they're confidently wrong, then writing verified golden answers and single-answer rubrics so every failure is reproducible and objectively scorable.

Software Developer · Dekamond

2025 · 6 months

Built AI & automation for Kaleri.ai — wrote multiple automation systems and data-scraping pipelines that collect and process data, plus multi-provider LLM workflows (LangGraph, RAG) behind FastAPI for BI tooling and internal developer tools, and cut LLM running costs ~70% with model routing, caching, and prompt optimization.

Django Developer (Backend) · Arnikup

2024 · 6 months

Built and maintained REST APIs for a food-delivery platform in a five-person team — modeling catalog and orders in PostgreSQL with Django REST Framework, offloading background work like order processing and notifications to Celery, using Redis for caching and as the task broker, containerizing services with Docker, and testing with pytest.

Education

M.Sc., Software Engineering

2025 – present

Islamic Azad University — Science & Research, Tehran

B.Sc., Computer Science

2020 – 2024

University of Guilan, Rasht

Recognition & languages
  • 2nd place — team Python programming competition, University of Guilan (2023)
  • Undergraduate research on Particle Swarm Optimization
  • English (professional working proficiency) · Persian (native)
Get in touch

Let's build something together

I'm open to backend & AI engineering roles and interesting collaborations. Send a note — it reaches me instantly — or email me directly.