Ethan Irimiciuc's Work | ContraWork by Ethan Irimiciuc
Ethan Irimiciuc

Ethan Irimiciuc

AI Automation Engineer | Python, OpenAI, Bots & Scraping

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Ethan is ready for their next project!

Cover image for Flagspill is an anonymous social
Flagspill is an anonymous social platform where users share short takes on relationship and dating situations, then vote them red flag, green flag, or contested "yellow flag." It's Reddit meets a polling app, focused on the moments people overthink and want a second opinion on. Features: Anonymous post and comment system with optimistic vote updates Multi-feed browsing (Hot, New, Top Today, Top Week, All Time) Yellow flag detection for contested posts where the community is split Responsive masonry grid layout that adapts cleanly across devices Real-time engagement metrics on every post Where it gets interesting is the moderation. Flagspill runs a multi-stage moderation pipeline using regex hard rules, heuristic spam and gibberish detection, and GPT-4o-based content review with rate limiting. Every submission goes through this pipeline before hitting the database, keeping the platform safe and useful at scale. Tech stack: React, TypeScript, Tailwind, Supabase for database and auth, OpenAI GPT-4o for moderation, deployed on Vercel. Built and shipped solo. Live at flagspill.com (http://flagspill.com).
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Cover image for Wildlife Quiz Platform for K-12: Enhance Classroom Learning
BioTrack is a wildlife education web platform built to help K-12 teachers create custom animal-themed quizzes, manage classes, and track student progress on biology learning. Teachers can build flashcard sets, assign quizzes to specific classes, and even request new animals to be added to the platform's database. Features: Teacher dashboard with class, student, assignment, and report tracking Custom quiz builder powered by an animal/wildlife database Classroom management with student rosters and assignment delivery Request Animal system for crowdsourcing new content to the platform Authentication and role-based access for teachers and students Built with React and TypeScript on the frontend, FastAPI and Python on the backend, with PostgreSQL for data persistence and a REST API connecting everything. This was a collaborative project I worked on with a team of four as part of a university software engineering course. I handled significant portions of the frontend architecture and API integration, working closely with backend and design teammates on a 12-week build cycle. Shipped as a working app deployed for active classroom users.
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Cover image for Steam Market Bot is an
Steam Market Bot is an automated trading platform for the CS2 skin marketplace. It scans thousands of Steam Community Market listings in real time, detects underpriced items, and surfaces profitable buy opportunities through a clean dashboard. The CS2 skin market moves on volume and speed. Manual traders miss opportunities because prices shift in seconds. This bot solves that by handling the scanning, monitoring, and decision logic continuously. Features: Real-time market scanning across thousands of listings Live dashboard with balance, active orders, scan cycles, and bot status Configurable item filters (float ranges, sticker conditions, price thresholds) Warm-up mode to safely initialize bot sessions without triggering rate limits Live activity log so users can audit every action the bot takes Built with FastAPI, React, TypeScript, Python, Selenium, and the Steam Community Market API. Deployed with a PostgreSQL backend for trade history and analytics. This was a personal project that turned into a real tool. I built it to handle my own CS2 trading and shipped a polished version for others to use.
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Cover image for MixerAI is a Chrome extension
MixerAI is a Chrome extension that consolidates ChatGPT, Claude, Gemini, and Perplexity into a single dashboard. Most heavy AI users are paying for 2-4 subscriptions and constantly switching tabs to use the right model for the right task. MixerAI fixes that. Features: Unified connection status for all major AI services in one panel Smart subscription tracking so you can see which plans you're on across providers Plan recommendation engine that suggests Free vs Pro vs Max tiers based on your usage patterns Single task input that routes your prompt to the best-suited AI for the job Built with TypeScript, React, Chrome Extensions API, Tailwind, and integrations with OpenAI, Anthropic, Google, and Perplexity APIs. This project came from frustration with my own AI tool sprawl: four tabs open, two paid subscriptions I wasn't fully using, and no system for deciding which model to ask. MixerAI is the tool I built to solve that for myself, and now I'm shipping it for others.
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