Freelancers using OpenAI in Chicago

Freelancers using OpenAI in ChicagoFreelancers using OpenAI in Chicago

Projects People

Robert Kaltenbach

proChicago, USA

Full-Stack Engineer | AI Products, Fixes & Rescues

$1k+: Earned

3x: Hired

5.0: Rating

85: Followers

Expert

Full-Stack Engineer | AI Products, Fixes & Rescues

Cover image for Memory Loop: Client Engagement & Launch

Client Work: Memory Loop - Never forget your learnings! Your personal spaced-repetition journal for memory retention. www.memoryloop.app

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Cover image for Inbox Pilot: AI Email Triage App

Inbox Pilot is an AI assisted email triage app that prioritizes your emails and interfaces with outputs like Slack in order to make email a more collaborative experience for teams.

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Cover image for Happy Lo-Fi Holidays is a holiday-themed React web experienc...

Happy Lo-Fi Holidays is a holiday-themed React web experience inspired by classic “lo-fi beats” videos and reimagined as an interactive, customizable scene. Choose from cozy interior spaces, different exteriors, layer dynamic weather effects, and optionally mirror real-world local weather. Each scene can be paired with original Suno-generated lo-fi holiday tracks, creating a calm, immersive escape from hectic shopping and end-of-year chaos. All music was generated with Suno using prompts focused on warm, nostalgic, winter lo-fi moods. Visual assets were created using an AI-assisted pipeline: DALL·E, Google Flow, and Adobe After Effects, enabling animated custom art. The built-in share feature lets users send a favorite scene and song combination as a digital holiday greeting card. Get your holiday vibe on: https://lofi.xozy.app

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Cover image for iris: AI Point-of-Sale System

Presenting iris- a mobile/tablet-first AI point-of-sale system built with Expo, React Native, Supabase, Roboflow, and OpenAI. It uses the device camera for real-time object detection and LLM-powered naming, letting stores build tickets or receive shipments automatically. No barcode scanner required. The architecture is ready for cloud scaling, with clear paths to use AWS Rekognition, Lambda, DynamoDB, and S3 for enterprise-grade deployments. **Because iris depends on mobile hardware, the web simulator can’t show the full flow, Expo Go is the preferred experience.** Public App: https://2b852a9b-3b94-451c-9256-457bf78e2e9c.canvases.tempo.build/ Canvas Editor: https://app.tempo.build/canvases/2b852a9b-3b94-451c-9256-457bf78e2e9c/editor

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975

AI Automation | Make.com, Zapier, n8n, OpenAI,HubSpot

7: Followers

AI Automation | Make.com, Zapier, n8n, OpenAI,HubSpot

Cover image for I have built tons of Ai Agents using Openai, Claude, Gemini,...

I have built tons of Ai Agents using Openai, Claude, Gemini, and a handful of other ones. The Ai agents were voice receptionist, order takers/placers, customer support etc. Now as I am building my 2nd app, i've come to realize that a lot more goes into training and distilling models. It can get pretty expensive if you have no idea what you are doing, as i'm doing more and learning more, i've come to the conclusion, those who integrate well with 3rd parties, I prefer to use. Example, Supabase, Vercel AI SDK5, OpenAI, Assistant UI for UI and tooling, life can't get much easier.

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Cover image for Ok, once again another automation I am proud of. Worked with...

Ok, once again another automation I am proud of. Worked with a customer on Upwork that had a lot of calls and sales proposals, but it was only him and one more team mate. Them 2 alone didn't have time to craft tailored proposals to each of their 8-10 calls per day. That doesn't seem very feasible if you ask me, especially having to run the follow ups, demos, backend, life, etc. We created an automation where while he or his teammate was on the call, they can have a form in front of them, fill it out as they chat, and once they finish and submit the form, tailored proposals were sent out to who the were speaking with 1 hour later, AUTOMATICALLY. Reach out if you think this is something you would like to see in your environment.

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Cover image for Worked with a sales team on their outbound outreach. It's di...

Worked with a sales team on their outbound outreach. It's difficult as a seller. I am an enterprise AE. So many things to do in a day, while also doing strategic and tailored outreach where more times than not, the outreach goes to spam or just deleted. Thats when we helped the team automate the tailored outreach. Coolest and my proudest automation by far. Yes it's a small automation compared to others, but as a seller, I saw the value in this right away! Any questions, feel free to ask!

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Cover image for Worked with a customer on Upwork where they wanted to start ...

Worked with a customer on Upwork where they wanted to start pumping out more content and faster without having to deal with interim reach out, check-ins, see if everything was posted, etc. So thats where we created this behemoth of an automation here!

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AI Product Owner - Specialty in building websites and tools

AI Product Owner - Specialty in building websites and tools

Cover image for I drove data-backed decisions across

I drove data-backed decisions across the supply chain, product development, and executive reporting functions. Early on, I conducted comprehensive market and supplier research—building automated pricing models to benchmark vendors and calculate cost variances. When tasked with stepping up to independently manage inventory and vendors, I engineered a suite of automated forecasting tools and dashboards using Excel, Google Sheets, VLOOKUP, and BigCommerce data. These tools visualized real-time production status (W3s), predicted imminent stock-outs using color-coded heatmaps, and tracked high-volume sales. I synthesized this complex operational data into three streamlined, daily dashboards presented directly to the CEO, while also modeling emergency sourcing scenarios to ensure we maintained 100% order fulfillment during production delays.

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Cover image for How are you feeling today?

How are you feeling today?

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Cover image for Figma Porotype

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Cover image for Led a team of developers

Led a team of developers in creating an event planning application website and mobile application that allowed users to create, search, and view other users' events. It also had social media sharing capabilities and mass email invitation features.

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Ethan Irimiciuc

Arlington Heights, USA

AI Automation Engineer | Python, OpenAI, Bots & Scraping

New to Contra

AI Automation Engineer | Python, OpenAI, Bots & Scraping

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 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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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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