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I built Lira Intelligence, a production AI support platform that works across chat, email, voice and WhatsApp. I owned the backend architecture, RAG pipeline, tool-calling agents, permissions, evals and production infrastructure. It’s built with TypeScript, PostgreSQL, Qdrant, AWS and Python.
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
Related posts
Just posted a new case study on Contra.
A 60-second promo for Ulta AI by Ultahost, a chatbot that runs a server through plain conversation. Script, storyboard and animation, all built around the real product UI.
Check it out
Let me know what you think💭😍
Two directions for Mira, an AI astrologer you talk to by voice.
Only one made it past the client. Which one would you ship, and why?
12 voted
75%
4 voted
25%
16 votes
Closed
A is better if you can make a dark version of it thats incredible
Proud to officially add the AWS Certified Machine Learning Engineer - Associate certification to my toolkit!
Building robust machine learning pipelines and scaling AI workloads securely on the cloud has always been a key focus of mine. Earning this certification has been a great deep-dive into mastering AWS ML infrastructure, MLOps best practices, and production-grade architectures.
Ready to bring these advanced capabilities to upcoming data science and engineering projects! Let's build something impactful. 💡💪
🔗 Verify Certificate:
Validation Number: 74c5808986a64b84addcaa9db725b8bd
Verification Link: https://aws.amazon.com/verification
#AWS #MachineLearning #AI #CloudComputing #DataAnalysis #MLOps
Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.
