Muhammad Ubaidullah Qazi

I'm a full-stack AI engineer with a strong focus on automation, AI agents, and data infrastructure. I've spent the past year working remotely with HyperGrowth, a California-based company, where I built ETL pipelines, automation workflows, and AI-integrated backend systems across cloud infrastructure on AWS. I'm comfortable owning systems end to end, from database design to API development to the interfaces people actually use.

Outside of that, I've built real products from scratch. I developed an AI voice agent platform integrating Twilio, Vapi, and n8n that automated phone agent deployment pipelines, and an algorithmic trading system that processed live trading signals via Telegram, validated them through a FastAPI service, and executed orders through MetaTrader 5, all orchestrated with n8n. I also completed an internship at the Pakistan Bureau of Statistics, working with national census datasets using SQL and Oracle SQL Developer for large-scale data cleaning and analysis.

I work AI-native, using tools like Claude and modern coding agents daily to build faster without losing sight of engineering judgment, readability, and correctness. I care about reliability in production, not just getting something working once, and I take ownership of systems after they ship, debugging and improving them rather than handing them off.

I'm a Data Science undergraduate at Air University, graduating in 2026, and I was the gold medalist of my 2022 batch with a 3.8 CGPA. I'm looking for remote opportunities where I can keep building real, high-stakes systems with teams that value speed, ownership, and genuine engineering quality