Pharmacy System Integration Platform | Python, APIs, AWS & Automation
Developed integration solutions connecting pharmacy management systems with partner distributors, enabling automated data exchange and improving operational efficiency.
At Cotefácil, I worked on the development and maintenance of backend systems responsible for integrating pharmacy software with partner distributors.
The project involved designing and implementing Python-based API solutions, automating data synchronization processes, and building cloud infrastructure to support reliable and scalable operations.
I also contributed to deployment automation and infrastructure management, helping the team deliver consistent and maintainable solutions.
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. 💡💪
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.
An automated n8n workflow that receives incoming leads via webhook, validates them, qualifies them with AI (Google Gemini), scores them, and syncs the result to Airtable without creating duplicates.
Been freelancing on Contra and building a tool for freelancers at the same time lol.
It's called ProposalForge. You give it a client brief and your rate and it drafts the proposal, and I use it on my own drafts too.
It's live now and free to try (3 proposals, no card). The video shows a free checker I made along the way that marks the phrases that make a proposal sound like ChatGPT. No sign-in: proposalforge.site/check
I'm trying to see where people actually get stuck. What part of writing a proposal takes you the longest? The opening, scoping and pricing, or just getting started?