I build software.

From full-stack applications to secure backend systems, I turn complex problems into useful software. Here, I share my notes and the ideas behind the code.

Explore notes A little about me

Cloud-native solutions · Cybersecurity · Full-stack development · Applied AI

Rustem Garryyev standing on a rooftop with a city skyline behind him — Rustem GarryyevBased in the US
Software & Cybersecurity Engineer

Where I’ve worked and gained experience

Bank of America

RÖNESANSHOLDING

HYUNDAIENGINEERING & CONSTRUCTION

GAP İNŞAAT

DM smarthome

ORLAN

Ruzvel Web

A little about me

Practical engineering.

I’m a software engineer based in the US, with experience in secure system development and cybersecurity in finance, as well as recruitment platforms, automation, and cloud applications. I enjoy connecting a thoughtful user experience with a dependable backend.

I build cloud-native, scalable solutions that connect reliable systems with practical user experiences. I completed the Computer Science for Professionals program, with advanced graduate study in machine learning, big data technologies, and cloud computing.

Cybersecurity software engineer · Finance

Secure systems development in finance.

I contribute to building secure internal platforms in the financial sector, helping prevent and address software vulnerabilities.

Full-stack & automation

Less manual work. Better workflows.

I’ve built recruitment platforms, booking automation, APIs, and dashboards - connecting interfaces, data, and business processes.

Machine learning & AI

Ideas grounded in real applications.

From a Naive Bayes news classifier to EduAdvisor AI, a learning-roadmap project using RAG, I’m interested in AI that serves a clear purpose.

Want to connect professionally?

Find my experience and professional profile on LinkedIn.

Connect on LinkedIn

My video notes.

Explore my YouTube channel.

Explore YouTube

Let’s stay connected.

Follow my Instagram for updates and moments.

Follow on Instagram

Visual explanations

Understand the idea.
Then watch it work.

I’m building a collection of approachable explanations and interactive examples. Change the inputs, follow each step, and build intuition at your own pace.

01 / Algorithms you can see

DSA Notes (Visualized)

Build problem-solving intuition through clear explanations, visual examples, and hands-on exploration at your own pace.

Explore

02 / Learning from data

ML Notes (Practical)

Connect machine learning ideas to real-world problems through practical explanations and applied examples. First notes are coming soon.