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Built an automated scraping pipeline covering 2,000 plus job listings from 100 plus companies across multiple ATS platforms. Integrated LLM powered auto tagging for intelligent classification of listings enabling keyword based filtering. Achieved 80 percent average scroll depth and 3.10 pages per session with 32 percent returning users. Platform reached users organically across India, the US, Germany, and Greece with zero paid marketing.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Visit the live app here: https://paws-and-puddle-pro.lovable.app/
Meet Sam. He runs a highly requested mobile pet grooming van in Denver, but standard booking calendars are quietly killing his margins. Because generic apps let customers pick any time slot they want, Sam spends two to three hours a day zig-zagging across the city in traffic, burning fuel and losing out on actual appointments just to accommodate a messy schedule.
To fix this, I built Paws & Puddle, a web app that solves his geographic routing nightmare before a booking ever hits the calendar. Instead of a basic form, I engineered a zero-click geo-gate. It automatically fetches a user's zip code via location services and dynamically filters the calendar to only show availability for the specific days Sam’s van is already assigned to their neighborhood.
Because forced logins instantly kill conversion rates, I designed a completely frictionless guest checkout. But to ensure long-term retention, the Thank You page features a "Guest-to-Auth" funnel that seamlessly converts their inputted data into an account post-booking, simply by asking the user to "set a password to track your van's ETA."
Backed by a full operator console where Sam can manage custom service zones, assign route days, and trigger automated status emails, this build proves that premium, minimalist design and aggressive problem-solving belong in the exact same app.
Check out the demo video below to see the end-to-end flow in action! @Lovable #lovablechallenge
Very nice visual design. I love the dog drawings 😍
𝐉𝐨𝐛 𝐡𝐮𝐧𝐭𝐢𝐧𝐠 𝐨𝐧 𝐡𝐚𝐫𝐝 𝐦𝐨𝐝𝐞
B2 English, based in Argentina. Payment preferably in USDT. Remote only. Quite a combination, right?
I built an AI-assisted job-search system around Freehire and Hirify. Both platforms offer official API/CLI access for automation, which makes them much easier to connect to an agent workflow. Simple Python scripts collect job listings and run the first pass of filtering against strict rules.
Then agents double-check the requirements, match them against my experience, and tailor my CV to each role. They highlight relevant projects and technologies I've actually worked with. Final review and approval stay with me.
𝐀𝐬 𝐨𝐟 𝐒𝐞𝐩𝐭𝐞𝐦𝐛𝐞𝐫 𝟐𝟔:
✅ 20 applications sent;
✅ 8 HR screenings passed;
✅ 1 video screening completed and submitted.
🚀 Technical interviews are still ahead.
I'm not ready to write off the market. Even with my constraints, things are moving.
A job search deserves 𝐚𝐧 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐭𝐨𝐨: clear rules, automation, and checks on the results.
ASVU — Automated Social Media Video Distribution Platform
Creators should create.🙌 Teams should grow. Nobody should spend half the day copy-pasting captions and re-uploading the same video🧠 .
That’s why I built ASVU — a cloud automation platform for turning repetitive social-media publishing into a much simpler workflow.
SUMMARY:
Designed and built a cloud-hosted automation platform that simplifies repetitive social-media publishing workflows into a centralized, one-click distribution pipeline.
PROBLEM:
Publishing short-form content across multiple platforms can involve repetitive downloading, local file handling, caption management, platform logins, uploads, and cleanup. I wanted to automate that workflow and reduce the amount of manual operational work required for each piece of content.
SOLUTION:
I built ASVU (Automated Social-Media Video Uploader) — a cloud-based automation platform designed to centralize the content distribution workflow.
Instead of manually moving media between systems, a user provides the authorized source content/link and caption, selects the required destination, and the backend handles processing, API integration, publishing, and temporary-storage cleanup automatically.
KEY CAPABILITIES:
-One-click content publishing workflow
-Cloud-hosted backend automation
-Social-platform API integrations & Cache integrations
-Automated media processing
-Caption and metadata handling
-Temporary-file lifecycle and cleanup
-Multi-destination publishing architecture
-Centralized distribution interface
-Python-based backend automation
-AWS-hosted infrastructure
-Google-API authentication and workflow orchestration
Cloud: AWS
Backend: Python
Integrations: Social Media APIs
Focus: Process Automation • API Integration • Cloud Engineering • SaaS • Workflow Automation
My Role — Cloud Engineer / Full-Stack Automation Developer
I designed the workflow, developed the backend automation, implemented cloud infrastructure and API integrations, handled content-processing logic, and built the publishing orchestration from source input through destination delivery.
just late night caffeine hits!!😂
