Orestis Theodorakopoulos

Backend Engineer

Athens, Attiki, Greece6 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Over 5 years of experience in full-stack software engineering.
Specialized in distributed systems and DevOps practices.
Strong background in object-oriented programming and software development best practices.

Stackforce AI infers this person is a Backend-heavy Fullstack Software Engineer with expertise in distributed systems and DevOps.

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Skills

Core Skills

Distributed Systems IntegrationDevops

Other Skills

TerraformGo (Programming Language)Stocks & Mutual FundsKotlinAmazon Web Services (AWS)JenkinsGroovyKubernetesSoftware DevelopmentComputer ScienceAlgorithm DevelopmentWeb DesignDatabase DesignObject-Oriented Programming (OOP)Artificial Intelligence (AI)

About

Language-agnostic full-stack software engineer with over 5 years of industry experience, developing scalable distributed systems and a passion for solving challenging puzzles. Speciality in software development best practices and object-oriented principles. In 2018, I graduated from department of Electrical and Computer Engineering of University of Patras with an integrated Master's degree in Computer Science. A communicative, well-organized and positive personality with a can-do attitude. A person that you want in your team.

Experience

6 yrs 10 mos

Total Experience

1 yr 4 mos

Average Tenure

3 yrs 9 mos

Current Experience

Xm

Senior Backend Software Engineer | Distributed Systems Integration & DevOps

Aug 2022 – Present · 3 yrs 9 mos · Athens · Hybrid

TerraformGo (Programming Language)Distributed Systems IntegrationDevOps

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Increasing performance and reducing cost, while maintaining safety levels and programmability are the key demands for embedded and cyber-physical systems in European domains, e.g. aerospace, automation, and automotive. For many applications, the necessary performance with low energy consumption can only be provided by customized computing platforms based on heterogeneous many-core architectures. However, their parallel programming with time-critical embedded applications suffers from a complex toolchain and programming process.
The ARGO (WCET-Aware Parallelization of Model-Based Applications for Heterogeneous Parallel Systems) research project addresses this challenge with a holistic approach for programming heterogeneous multi- and many-core architectures using automatic parallelization of model-based real-time applications. ARGO enhances WCET-aware automatic parallelization by a cross-layer programming approach combining automatic tool-based and user-guided parallelization to reduce the need for expertise in programming parallel heterogeneous architectures. The ARGO approach is assessed and demonstrated by prototyping comprehensive time-critical applications from both aerospace and industrial automation domains on customized heterogeneous many-core platforms.
The challenging research and innovation action is achieved by the unique ARGO consortium that brings together industry, leading research institutes and universities. High class SMEs such as Recore Systems, Scilab Enterprises, AbsInt GmbH and emmtrix Technologies GmbH contribute their diverse know-how in heterogeneous many-core technologies, model-based design environments and WCET calculation. The academic partners contribute their outstanding expertise in code transformations, automatic parallelization and system-level WCET analysis.