Role
AI Systems Engineer
Company
Biznesni Rivojlantirish Banki
March 2026 – Present
Curious by default. Practical by choice.
I'm Shahriyor Abdullayev, a machine learning and AI engineer. I analyze data and build simple, effective technology solutions for real business problems - currently as an ML/AI Engineer at the Business Development Bank, where I work on data analysis, ML models, and bringing AI into business processes.
My path started with Python: automation scripts, small tools, and data workflows. That pulled me into data science - forecasting, classification, and turning messy datasets into something a business can actually act on.
Today I focus on the full lifecycle of an ML product: understanding the data, building and evaluating models, and integrating them into real processes. My goal is reliable, fast AI that delivers genuine value to the people using it.
Data Before Models
A model is only as good as the data behind it. I start by understanding the data, cleaning it, and framing the real business question - before reaching for an algorithm.
Reliable, Fast, Useful
A model that only works in a notebook isn't finished. I care about accuracy, latency, and shipping something a team can actually rely on in production.
Simple Solutions to Real Problems
I look for the simplest approach that solves the actual problem. Clear, maintainable solutions beat clever ones nobody can run six months later.
What I don't do
- I don't chase complexity for its own sake. If a simpler model does the job, that's the model.
- I don't ship black boxes I can't explain. If I can't reason about why it works, it isn't ready.
- I don't ignore the data. Most ML problems are data problems first.
Profiled under load. Not just imported.