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<!DOCTYPE html>
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  <title>Experience &amp; Expertise - Ragu</title>
  <meta name="keywords" content="Backend Architecture, FastAPI, Python Developer, Devops, Web Scraping, Microservices, Ragu, ragug, RAGU G, Enterprise Software">
  <meta name="description" content="Explore my core technical capabilities, spanning high-concurrency API development, enterprise DevOps automation, distributed data processing, and open-source contributions.">

  <meta property="og:title" content="Technical Expertise &amp; Core Competencies - Ragu G">
  <meta property="og:description" content="Deep dive into my engineering focus: High-throughput microservices, production AI pipelines, low-latency scrapers, and infrastructure orchestration.">
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        <div class="section-title">
          <h2>Core Competencies</h2>
          <p>A breakdown of my professional background engineered through enterprise platform production environments, technical product management, and architectural designs.</p>
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          <!-- Backend & API Architecture -->
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              <h4>Backend &amp; API Engineering</h4>
              <p>Designing high-performance, fault-tolerant RESTful microservices using FastAPI, Django, Flask, and Spring Boot. Handled peak enterprise traffic up to 195+ RPS with P95 latency profiles of 5ms.</p>
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          <!-- Web Data Extraction & Automation -->
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              <h4>High-Throughput Scraping</h4>
              <p>Re-engineering asynchronous scrapers using Scrapy, Selenium, and custom proxy rotation strategies. Scaled concurrent browser instances from 20 to 60 on limited hardware infrastructure, tripling data ingestion rates.</p>
            </div>
          </div>

          <!-- DevOps & AI Automation Pipelines -->
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                  <path stroke="none" stroke-width="0" fill="#f5f5f5" d="M300,541.5067337569781C382.14930387511276,545.0595476570109,479.8736841581634,548.3450877840088,526.4010558755058,480.5488172755941C571.5218469581645,414.80211281144784,517.5187510058486,332.0715597781072,496.52539010469104,255.14436215662573C477.37192572678356,184.95920475031193,473.57363656557914,105.61284051026155,413.0603344069578,65.22779650032875C343.27470386102294,18.654635553484475,251.2091493199835,5.337323636656869,175.0934190732945,40.62881213300186C97.87086631185822,76.43348514350839,51.98124368387456,156.15599469081315,36.44837278890362,239.84606092416172C21.716077023791087,319.22268207091537,43.775223500013084,401.1760424656574,96.891909868211,461.97329694683043C147.22146801428983,519.5804099606455,223.5754009179313,538.201503339737,300,541.5067337569781"></path>
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              <h4>AI DevOps &amp; Automation</h4>
              <p>Constructing AI-augmented continuous delivery channels. Integrated self-hosted Local Large Language Models (Ollama, n8n) inside isolated air-gapped environments, cutting pull-request cycles by 40%.</p>
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          </div>

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              <h4>Distributed Workflows</h4>
              <p>Orchestrating intensive compute cycles using Apache Airflow, Celery task workers, and advanced queue structures. Experience tracking data pipelines across target enterprise systems using S3 storage interfaces.</p>
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          <!-- Cloud Infrastructure & Platform Security -->
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              <h4>Infrastructure &amp; Security</h4>
              <p>Deploying application clusters into RHEL environments using Docker Swarm. Implemented enterprise security integrations (LDAP/SAML identity protocols) and full-stack log observability arrays via ELK and Grafana.</p>
            </div>
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          <!-- Generative AI & Vector Search Systems -->
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              <h4>Retrieval-Augmented Gen (RAG)</h4>
              <p>Building tailored internal semantic engine abstractions. Integrated foundational context systems using OpenAI vector space embeddings alongside high-density tokenized indexing databases for search operations.</p>
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