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8 contributions to AI Automation Society
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Alhamdulillah! I’ve earned the Rising Talent badge on Upwork! Grateful for the amazing clients who trusted me in my journey.
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1 like • 1h
@Natalie C thanks, 2 projects
1 like • 34m
@Mejba Ahmed thanks
Real-world experience with Android handheld POS + built-in thermal printer for restaurant automation?
Hey everyone, I’m building a restaurant automation system and I’m looking for real-world experience with Android handheld POS devices / all-in-one devices that have a built-in thermal printer. This is not about a simple chatbot or a theoretical setup. I’m trying to find the most reliable and low-maintenance hardware approach for real restaurant operations. Use case: Restaurant orders come in through WhatsApp and/or an AI phone agent. The order is then processed by an automation/backend. The restaurant staff should see the incoming order on a dedicated Android handheld POS device or Android tablet and then quickly: - accept the order - reject the order - select a preparation time, for example 20 / 30 / 45 minutes - trigger or receive an automatic kitchen ticket print - avoid duplicate printing on retries - keep the process simple enough for non-technical restaurant staff The goal is that the restaurant-side flow feels similar to the way delivery platforms handle incoming orders: the device alerts the staff, the staff accepts/rejects, selects the preparation time, and the kitchen ticket prints automatically. Important architecture point:I do not want the backend/n8n to print directly to a local printer IP inside the restaurant network. The device should act as a client. The architecture I’m considering is: backend / automation creates order → restaurant device receives or pulls the order → staff accepts/rejects and selects preparation time → backend creates print job with a dedupe key → device prints through native printer access / SDK / ESC/POS → device sends printed/failed acknowledgement back to the backend. Preferred technical direction: - cloud/server-side backend - device connects outward via HTTPS polling, WebSocket, push notification, MQTT, or similar - no router port forwarding - no VPN/tunnel dependency as the standard setup - no local public API on the tablet - no fragile local IP hacks - print jobs should be pulled or received safely by the device - print jobs need dedupe / acknowledgement logic - if the device restarts, it should recover cleanly - ideally kiosk mode or app pinning - ideally app auto-start after reboot - ideally printer status / paper-out / print failure detection
2 likes • 47m
This is a solid use case. I’m currently working on SaaS and automation systems , and I can definitely help on the backend + device communication side. I’d approach this with a WebSocket/polling hybrid for reliable order delivery, plus idempotent print jobs with acknowledgements to prevent duplicate tickets. Would love to collaborate or contribute if you’re open to it.
AI Is Getting Lighter, Not Just Bigger
You don’t need expensive GPUs to experiment with large models anymore. Tools like AirLLM are changing the game. Running a 70B model on a 4GB GPU would’ve sounded unrealistic not long ago. Now it’s possible — and even models at the scale of Llama 3.1 405B can be handled on minimal VRAM with the right approach. The idea is simple, but powerful: Instead of loading the entire model into memory, it processes one layer at a time — load, compute, discard — and repeats. That one shift makes large-scale models accessible on everyday hardware. Just smarter inference design. It already works with popular model families like Llama, Qwen, and Mistral, and runs across Linux, Windows, and macOS. And yes — it’s open source. This is the kind of innovation that actually matters: Not just building bigger models, but making them usable for more people. Because in the end, progress in AI isn’t only about scale — it’s about accessibility. If you're working in ML or building with LLMs, this is worth paying attention to.
AI Is Getting Lighter, Not Just Bigger
0 likes • 4d
@Markus Useche you are welcome
Hiring: AI Influencer Creator for Local Business Ads (India)
Hey everyone 👋I’m looking to collaborate with talented creators who can help build high-quality AI Influencers and AI-generated ad content for Indian local businesses. 🔹 What I Need: - AI Influencer creation (realistic & engaging) - Short-form ad videos / reels - AI-generated promotional content - Content optimized for Instagram, Facebook & local business marketing - Creative storytelling for Indian audiences 🔹 Ideal Skills: - Experience with AI video tools & automation - AI avatars / influencer creation - Video editing & ad creatives - Understanding of local business marketing in India - Fast communication & reliable delivery 🔹 Project Goal:I’m building AI-powered marketing solutions for local businesses and need creative people who can help produce attention-grabbing content that converts. If you have experience in:✅ AI Influencers✅ AI UGC Ads✅ AI Video Editing✅ Reels/Shorts Creation✅ Automation Workflows DM me with: - Your portfolio/work samples - Your pricing - Tools you use - Turnaround time Let’s build something big together 🔥
0 likes • 6d
This sounds interesting We’re building similar AI-powered marketing solutions at TechCognify—covering AI video generation, automation workflows, and ad creatives. Would love to collaborate and explore how we can contribute.
Any AI Automation person based in/near Lahore Pakistan?
A pharmaceutical company I came across is looking for someone. Usual mix of they don't really know what they want & want someone to assist with AI everywhere. Please dm Thanks
0 likes • 6d
Hey, we’re based in Pakistan and work on AI automation at TechCognify 👍 Would love to connect and see how we can help
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@ibrahim-bajwa-5271
Technical founder building SaaS products. Background in full-stack development (Next.js/React). Focused on scalable architecture and AI integrations.

Active 5m ago
Joined Nov 25, 2025
Islamabad Pakistan
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