Ruslan Dautov

Hello, I'm Ruslan Dautov

A Senior Site Reliability Engineer passionate about building resilient, scalable cloud infrastructure and automation solutions. I specialize in transforming complex systems into reliable, efficient platforms.

About Me

Driven by innovation and a problem-solving mindset

Building resilient cloud infrastructure and automation solutions at ZEDEDA. With expertise spanning infrastructure automation, multi-cloud management, and DevOps practices, I focus on creating scalable systems that drive business success.

My academic background in Applied Mathematics and Computer Science, combined with practical experience in fault diagnostics and machine learning applications, allows me to approach complex technical challenges with both theoretical depth and practical insight.

10+ Years of Experience
50+ Projects Delivered
5 Key Publications

Skills & Expertise

A comprehensive toolkit for modern engineering challenges

Core Technologies

Kubernetes Terraform AWS Docker Python DevOps CI/CD Infrastructure Automation Multi-cloud Management Datadog OpenMP HPC Machine Learning Fault Diagnostics Applied Mathematics

Education & Research

MSc Applied Mathematics & Computer Science

Advanced degree focusing on computational mathematics and algorithm development

BSc Engineering

Foundation in engineering principles and system design

Research Publications

Machine learning applications and fault diagnostics systems

Awards & Scholarships

Recognition for academic excellence and research contributions

Featured Projects

Highlights of my technical contributions and innovations

Maps Converter Project Screenshot

Maps Converter

Convert your location links between Google Maps and Apple Maps with a single click. A practical web application that simplifies cross-platform navigation.

JavaScript Web APIs UI/UX
View Project

Apple Maps Guide Decoder

Extracts information from Apple Maps Guide URLs, providing developers access to underlying Place IDs for MapKit and Apple Maps API integration.

Apple Maps API MapKit URL Processing
View Project

Random PR Explorer

A web application that helps developers contribute to open source by discovering random pull requests from popular GitHub repositories.

GitHub API Open Source React
View Project

Random Walking Paths

Generate and export random walking routes using interactive maps powered by Leaflet. Perfect for exploration and fitness activities.

Leaflet Mapping Route Generation
View Project

High-Performance Computing with OpenMP

A comprehensive guide to parallel programming and high-performance computing, covering advanced OpenMP techniques and optimization strategies.

OpenMP HPC Parallel Computing Technical Writing
Read Book

Research Publications

Academic research focusing on machine learning applications and fault diagnostics systems, contributing to advances in computational science.

Machine Learning Fault Diagnostics Research Academic Writing
View Publications

Talks & Presentations

Speaking engagements and presentations on technology and industry topics

Edge Computing Observability: Challenges and Solutions

ZEDEDA Industry Talk

This presentation explores the critical challenges of achieving comprehensive observability in edge computing environments. As organizations increasingly deploy distributed applications at the edge, traditional monitoring approaches face limitations due to intermittent connectivity, resource constraints, and diverse hardware configurations. I discuss innovative solutions including lightweight monitoring agents, intelligent data aggregation strategies, and adaptive telemetry collection that maintain visibility while operating within edge computing constraints.

Edge Computing Observability Monitoring Distributed Systems
Watch on YouTube

Let's Connect

I'm open to discussing new opportunities, collaborations, or just chatting about technology

Ready to Collaborate

Whether you're looking for a Site Reliability Engineer, want to discuss edge computing solutions, or explore innovative infrastructure projects, I'd love to hear from you.

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