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Just deployed a comprehensive full-stack SaaS platform handling complex role-based access control, PostgreSQL databases, and a lightning-fast React/Next.js frontend! 🚀
If you're a founder looking to build a scalable MVP, or an agency needing a reliable developer for overflow work, I have the bandwidth to jump in right now.
💻 My Stack: Next.js, React, Node.js, Python, PostgreSQL, AWS & AI Integrations.
Let’s build something great together. Feel free to DM me or check out my work here: https://ayushkharya.online/
#freelance #webdevelopment #nextjs #fullstack #softwareengineer
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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Open to New Opportunities | Full-Stack Developer
Hi everyone!
I'm currently looking for new opportunities as a Junior Software Engineer, Associate Software Engineer, or Full-Stack Developer.
I'm a recent Computer Science graduate from COMSATS University Islamabad with professional experience building web applications using React.js, Next.js, Node.js, Express.js, MongoDB, and TypeScript.
I'm particularly interested in:
Junior and Associate Software Engineer roles
Full-Stack and MERN Stack development
Remote opportunities and Lahore-based positions
Freelance projects and long-term collaborations
I'd also love to connect with experienced developers, seniors, founders, and industry professionals here.
If you know of any openings, have an opportunity in your network, or could refer me to a suitable position, I'd genuinely appreciate you reaching out.
Even a little guidance or referral could make a big difference.
Portfolio: https://rahman-karim-dev.vercel.app/
GitHub: https://github.com/Rahmankarim
LinkedIn: https://www.linkedin.com/in/rahmankarim/
Thank you! Always happy to connect and collaborate. 🤝:
I founded Fanaar in 2024, an apparel brand in the clothing and textile industry, where I oversee everything from fabric sourcing and laboratory testing to in-house production, ensuring the best silhouettes and finishing.
Fanaar's digital infrastructure is built using Next.js, with Supabase powering the backend and GitHub handling version control. It also features a dedicated admin portal where I manage and process orders, oversee the Fanaar account, detect potential spam orders, and control every customer-facing aspect of the platform.
Beyond development, I focus heavily on user experience and continuously optimize the platform based on real data and user behaviour to deliver the best possible customer experience.
This is quite alright and nice
AI Customer Support Agent for Web Form, Gmail & WhatsApp
An AI support agent that answers customer questions across a web form, Gmail and WhatsApp, and hands off to a human team when it should. Load-tested with 200+ messages and no lost messages.
I built an AI customer support agent as a demo for a fictional SaaS company called Flowmint. Customers can write through a web form, Gmail or WhatsApp. The agent finds the answer in a knowledge base, replies on the same channel, and passes the conversation to a human team (Billing, Sales, Support) for refunds, special pricing, or when a customer asks for a person.
One agent for three channels, with replies formatted for each (a clean HTML email, a short WhatsApp message, a private web tracking page)
Safety rules written in code: it can only quote approved prices, and refunds always go to a human
Remembers returning customers on email and WhatsApp
Private ticket tracking page with a secret tracking code
If the AI service is busy, it switches to backup AI models, and to a knowledge-base answer if all are limited
I load-tested the agent for 24 hours with 200+ messages across all three channels, using simulated customers plus real emails and WhatsApp messages I sent myself.
212 messages in, 212 replies out, none lost
Only 3.3% needed a human
Areas I’m improving: faster replies with a paid AI plan, and spam protection for the web form.
Tech stack: Python, FastAPI, OpenAI Agents SDK, Kafka, PostgreSQL, Next.js, Docker, Gmail API, WhatsApp Cloud API.
Writing the safety rules in code, not in the prompt, is the part I like most: approved prices only, and refunds always go to a human. My RAG demo also passes the question to a person when the guide has no answer. How does your agent decide that a customer "asks for a person": a fixed list of phrases, or does the model decide?