Muhammad Awais Nazir · Available for the right engineering challenge
I design backend systems and applied AI tools that hold up under real traffic: APIs, databases, RAG pipelines, and the infrastructure connecting them. I'm just as comfortable working across the stack when a project calls for it.
About Me
Here's the short version: how I got here, what I actually work on, and where this is headed.
Profile
Software Engineer · AI & Backend
What I build
AI and backend are where most of my work lives: RAG pipelines, backend APIs, data models, and real-time services, along with the integrations that tie systems together. I've also built email delivery pipelines and cloud-backed features when a product needed them. The common thread is getting things to behave the same in production as they did on my machine.
Selected work
A handful of projects that had to actually work in production, not just run on my machine.
AI RAG System Production-Ready Document Intelligence Backend
A facial recognition backend built for a Fiverr client, deployed across Windows, Linux, and Jetson edge devices.
A three-stage CCTV pipeline, built with NASTP as domain partner, that skips deep learning on static frames and only records once a person or vehicle is actually confirmed.
Skills
A skill only matters for what it lets me build. Here's the toolkit behind everything on this site.
Python
initially learned from CodeWithHarry, then a plenty of project taught me
FastApi
Developed a complete project knowledge Assistant and learnt it practically
Docker
initially did a course "Introduction to Docker" on data camp, then learnt practically via projects
PosgtreSQL
did more than 4 projects using postgreSQL
NestJs
Currently using NestJs at EndPointClients for production systems
Field notes
What I ran into, what broke, and what I'd do differently next time.
Contact
Send a short note and it comes straight to me. If you'd rather use WhatsApp, email, LinkedIn, or GitHub, those are all on the contact page too.
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