{% extends "base.html" %}

{% block title %}
Resume
{% endblock %}

{% block content %}

<!-- Primary Page Layout
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  <div class="container">
    <!-- <section class="header"> -->
    <!-- </section> -->
  
  <section class="res-intro">

    <div class="header">
        <h4> Hi, I'm 
        

        <span class="typing-slider">
          <p>Saeed Khosravi.</p>
        </span>
        </h4>
      <div class="header-buttons">
          <button onclick="downloadPDF()">Download Resume</button>
      </div>
    </div>

    

    <p id="about-me">
      I have over four years of experience as a Backend Developer, during which I have encountered diverse technical challenges
      that strengthened my problem-solving abilities and broadened my expertise across various technologies and tools. However,
      my journey in software development began much earlier. I have been engaged in this field since 2011, even before my formal
      academic education. My passion for programming started when my older brother introduced me to it by gifting me the book 
      “How to Program in C++” by Deitel & Deitel, which sparked a lifelong curiosity and dedication to understanding how software 
      works. Recently, I have become increasingly interested in Artificial Intelligence and its transformative potential, recognizing 
      that the world is moving toward intelligent, data-driven systems. I aspire to contribute meaningfully to this evolution by joining
      an organization that tackles real-world challenges, works with large-scale data, and designs efficient AI models that can help 
      make our world a better and more connected place for everyone.    
    </p>
  </section>


  


  <!-- Experience -->

 <section id="work-experience" class="res-exp docs-section">
    <h4>Work Experience</h4>

    <div id="queries">
     <h6 class="docs-header">Backend Developer</h6>
      <p class="docs-subheader">Respina Network & Beyond, Tehran, Iran <span class="date">Aug 2022 – Mar 2024</span></p>


      <p class="work-summary">
        Respina is a leading provider of telecommunications solutions in Iran, offering dedicated internet access, SIP-Trunk, 
        Hosted-PBX phone services, and data center colocation. Trusted for reliability and innovation, Respina enables seamless 
        connectivity and robust communication for businesses, contributing to Iran's digital infrastructure and economic growth. 
        This was one of the most impactful periods of my career, where I gained deep hands-on experience in analyzing, testing, 
        and optimizing large-scale backend systems. As part of the Hosted-PBX (Nexfon) team, I worked on improving the performance, 
        scalability, and reliability of enterprise-grade telecommunication services. Redesigned and optimized the billing system using 
        CGRATES, implementing a real-time charging solution that improved billing accuracy and efficiency. Reduced monthly reporting 
        time from 30 minutes to 40 seconds by optimizing database queries, parallelizing tasks with Celery, and improving data aggregation workflows. 
        Refactored the Asterisk-ARI integration into an event-driven Flask microservice, containerized with Docker, and enhanced with multi-processing, 
        increasing concurrent call capacity per instance from 25 to 130 and reducing infrastructure load by nearly 5×. Implemented comprehensive monitoring
         and troubleshooting using Prometheus, Loki, and Grafana, improving observability and system reliability. Collaborated with the DevOps team to
          migrate deployments to a Kubernetes-based cloud infrastructure, enhancing scalability, fault tolerance, and CI/CD automation.
      </p>

      <p class="work-technologies">
        <strong>Technologies & Tools: </strong> Python, Django, Flask, RESTful APIs, Celery, RabbitMQ, 
        PostgreSQL, Docker, Kubernetes, Git, CI/CD (GitLab CI), Prometheus, Loki, Grafana, Linux, Nginx, 
        Troubleshooting & Performance Optimization
      </p>



    </div>
    <div id="queries">
      <h6 class="docs-header">Backend Developer</h6>
        <p class="docs-subheader">ANIL Web design studio, Tehran, Iran <span class="date">Nov 2021 – Jul 2022</span></p>
        <p class="work-summary">
            Collaborated with a highly skilled development team composed of top university talents, gaining valuable exposure to
            modern software design practices and collaborative workflows. Contributed to two major web projects — RadmanPack and
            PelikanIran — by developing and integrating backend systems using PHP and the Laravel Framework, while coordinating
            closely with frontend developers working in React.js. Focused on designing RESTful APIs, implementing secure authentication,
            and ensuring smooth data exchange between backend and frontend components. Additionally, gained hands-on experience in version
            control (Git), containerization with Docker, and deployment on Linux-based environments, emphasizing maintainability, 
            scalability, and team collaboration.
        </p>
        <p class="work-technologies">
              <strong>Technologies & Tools:</strong> PHP, Laravel, React.js, JavaScript (ES6+), CSS3, RESTful APIs, Postman, 
              MySQL, Git, Docker, Linux, Nginx, Agile Collaboration

        </p>
      </div>

    <div id="queries">
      <h6 class="docs-header">Backend Developer</h6>
        <p class="docs-subheader">AvinAvisa Lab, Tehran, Iran <span class="date">Oct 2020 – Jul 2021</span></p>

        <p class="work-summary">
           Worked in a research-driven environment within the Blockchain Laboratory of Amirkabir University of Technology, focusing on the development of decentralized systems and blockchain-based applications. Contributed to the design and implementation of a cryptocurrency exchange platform (Polychain) enabling peer-to-peer trading with advanced matching logic based on trade volume, customer tier (VIP levels), and other dynamic factors. Implemented a custom matching algorithm inspired by the Knapsack problem, optimizing trade pair selection and transaction efficiency. Additionally, integrated the platform with Ethereum and TRON networks, handling blockchain interactions and ensuring secure, real-time transaction processing. Collaborated with a small, multidisciplinary team, applying the MERN stack (MongoDB, Express.js, React.js, Node.js) and blockchain APIs to build a robust, scalable backend system.
        </p>

        <p class="work-technologies">
          <strong>Technologies & Tools:</strong> Node.js, Express.js, MongoDB, React.js, JavaScript (ES6+), Blockchain Integration (Ethereum, TRON), RESTful APIs, Algorithm Design, Git, Docker, Linux, WebSocket Communication

        </p>


    </div>

    <div id="queries">
      <h6 class="docs-header">Military Service</h6>
        <p class="docs-subheader">Army, Tehran, Iran <span class="date">Jul 2018 – Jul 2020</span></p>
    
        <p class="work-summary">

          In Iran, military service is compulsory for men and must be completed in order to obtain permission to 
          leave the country. The service lasts for two years. During this period, I collaborated with Dr. Moosaei (Charles University) 
          and Dr. David Musicant (Carleton College) on one publication and one research project, while also engaging in self-study in 
          machine learning and image processing to enhance my technical expertise.

        </p>
    
      </div>

    <div id="queries">
      <h6 class="docs-header">Android Developer</h6>
        <p class="docs-subheader">Ishaya, Tehran, Iran <span class="date">Aug 2016 – Apr 2018</span></p>

      <p class="work-summary">
      Started my professional journey in software development as an Android Developer, initially joining as an intern and later continuing as a full-time engineer due to strong performance and enthusiasm for mobile technologies. Contributed to the development of Ponila, the first intelligent content recommendation system for Persian-language users. The platform utilized semantic and syntactic analysis of Persian text to deliver personalized article recommendations based on user interests, improving content discovery and engagement. Collaborated with backend and data science teams to integrate recommendation algorithms and ensure seamless data synchronization between the mobile app and server-side APIs. Focused on building a responsive, stable, and scalable Android application aligned with modern UI/UX principles.
      </p>
      <p class="work-technologies">
        <strong>Technologies & Tools:</strong>Java, Android SDK, RESTful APIs, JSON, SQLite, Git, XML, Material Design, Recommender Systems
      </p>
    </div>
  </section>
  <!-- /Experience -->

  <!-- Education -->
  <section id="education" class="res-edu docs-section">
    <h4>Education</h4>

    <div id="queries">
     <h6 class="docs-header">Ca' Foscari University of Venice</h6>
      <p class="docs-subheader">Master’s Degree in Artificial Intelligence and Data Engineering, <span class="date">Sep 2024 – Present</span></p>
      <!-- Courses table: replace the placeholder rows below with your actual courses and grades -->


    


    </div>

    
    <div id="queries">
      <h6 class="docs-header">University of Bojnord</h6>
      <p class="docs-subheader">Bachelor’s Degree in Computer Science, <span class="date">Sep 2012 – Jun 2016</span></p>
    </div>

    <div id="queries">
        <h6 class="docs-header">Rajaei High School</h6>
        <p class="docs-subheader">Pre-University & Diploma in Mathematics and Physics, <span class="date">Sep 2010 – Jun 2012</span></p>
    </div>

    <!--  /Education -->



  <!-- Cetificates -->
  <section class="res-edu docs-section">
    <h4>Certificates</h4>

      <div class="row item" style="height: 300px; margin-bottom: 3rem;">
        <a class="item-screenshot-wrapper" target="_blank" href="https://coursera.org/verify/specialization/628IUAIYMQAO">
          <img class="item-screenshot" src="static/public/images/Machine Learning Specialization.png">
        </a>
        <div class="one-half offset-by-one-half column">
          <h6 class="item-header">Machine Learning Specialization</h6>
          <p class="item-project-summary"> </p>
          <p class="docs-subheader"> DeepLearning.AI, Stanford University, Prof. Andrew Ng <span class="date">Oct 2025</span></p>

          <a class="button" href="https://coursera.org/verify/specialization/628IUAIYMQAO" target="_blank">Verification</a>
        </div>
      </div>



    <!--  /Education -->





 
  </section>
 



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