website/index.html at main · preethamp0197/website · GitHub

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<!doctype html>
<html lang="en">
  <head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>Preetham P — Portfolio</title>
    <meta name="description" content="Personal website of Preetham P — projects, experience, education, and publications.">
    <link rel="stylesheet" href="styles.css">
  </head>
  <body>
    <header class="site-header">
      <div class="container header-inner">
        <a class="logo" href="#">Preetham P</a>
        <nav class="site-nav" aria-label="Primary">
          <button id="menu-toggle" class="menu-toggle" aria-label="Toggle navigation">☰</button>
          <ul class="nav-links" id="nav-links">
            <li><a href="#about">About</a></li>
            <li><a href="projects.html">Projects</a></li>
            <li><a href="#experience">Experience</a></li>
            <li><a href="#education">Education</a></li>
            <li><a href="#publications">Publications</a></li>
            <li><a href="#contact">Contact</a></li>
          </ul>
        </nav>
        <button id="theme-toggle" class="theme-toggle" aria-label="Toggle theme">🌙</button>
      </div>
    </header>

    <main>
      <section id="about" class="section">
        <div class="container">
          <h1>Hi, I'm Preetham P</h1>
          <p>
            As an Applied Computer Vision Scientist at Rakuten, I specialize in leveraging the power of images to solve diverse challenges. My expertise spans semantic segmentation, object detection, optical character recognition (OCR), and classification. Currently, I am deeply focused on the dynamic field of image generation, constantly exploring the latest advancements in Generative AI models, including Vision-Language Models (VLMs) and cutting-edge image generation techniques, to implement innovative research and expand creative possibilities.
          </p>
          <div class="quick-facts">
            <div>
              <h3>Location</h3>
              <p>Tokyo, Japan</p>
            </div>
            <div>
              <h3>Focus</h3>
              <p>Computer Vision</p>
            </div>
            <div>
              <h3>Contact</h3>
              <p><a href="#contact">Get in touch</a></p>
            </div>
          </div>
        </div>
      </section>


      <section id="experience" class="section">
        <div class="container">
          <h2>Experience</h2>
          <ul class="timeline">
            <li>
              <div>
                <h3>Rakuten, Inc. - Computer Vision Scientist</h3>
                <p class="sub">October 2019 – Present · Tokyo, Japan</p>
                <p><a href="projects.html">View selected projects →</a></p>
                <p>
                  At Rakuten, I led the development of advanced Generative AI models, including Qwen/SDXL ControlNet, to create visually stunning product backgrounds and photorealistic marketing banners, significantly boosting ad creativity and conversion rates. I also innovated interactive AI systems for generating children's drawing-style illustrations and developed a high-accuracy Japanese OCR model. My work encompassed implementing cutting-edge diffusion model techniques and building MLOps infrastructure for GenAI model deployment.
                </p>
              </div>
            </li>
            <li>
              <div>
                <h3>Machine Learning Intern, Central Government of India</h3>
                <p class="sub">May 2018 – Jul 2018 · Document Recommendation and NER System</p>
                <p>
                  Built a comprehensive Document Recommendation and NER system, processing Big Data with Apache Spark and PySpark’s Word2Vec for recommendations (via Elasticsearch).
                </p>
              </div>
            </li>
          </ul>
        </div>
      </section>

      <section id="education" class="section alt">
        <div class="container">
          <h2>Education</h2>
          <ul class="list">
            <li>
              <h3>Indian Institute of Technology(IIT) Delhi - Dual Degree in Mathematics and Computing | 2019</h3>
            </li>

          </ul>
        </div>
      </section>
      <section id="publications" class="section">
        <div class="container">
            <h2>Publications and Patents</h2>
            <h3>Publications</h3>
            <ul class="pubs-list">
                <li>
                    <span class="pub-title">Part Level Segmentation in 3D point clouds: ShapeNet Challenge at ICCV 2017</span>
                    <a class="pub-link" href="https://arxiv.org/pdf/1710.06104" target="_blank">Link</a>
                </li>
            </ul>

            <h3>Patents</h3>
            <ul class="patents-list">
                <li>
                    Patented the idea of extracting features from Faster R-CNN detection model to train a Similarity Check model for Quality Assurance automation based on website layout obtained from different mobile screens. [Patent Number: <a href="https://patents.google.com/patent/US12067708B2" target="_blank">US12067708B2</a>]
                </li>
                <li>
                    Patented the model architecture of Weakly Supervised Object Localization by utilizing the Grad-Cam as the pseudo labels. [Patent Number: <a href="https://patents.google.com/patent/US11922667B2" target="_blank">US11922667B2</a>]
                </li>
                <li>
                    Patented an innovative method for detecting Japanese characters that existing State-of-the-Art (SOTA) models, such as CRAFT, failed to recognize. [Patent Number: <a href="https://patents.google.com/patent/US12087067B2" target="_blank">US12087067B2</a>]
                </li>
                <li>
                  Developed and Patented a robust model for extracting key information (e.g., Name, Date of Birth) from health
                  insurance cards with varying formats and layouts.[Patent Number: <a href="https://patents.google.com/patent/US20240362938A1" target="_blank">US20240362938A1</a>]
                </li>
            </ul>
        </div>
    </section>


      <section id="contact" class="section alt">
        <div class="container">
          <h2>Contact</h2>
          <p>
            Email: <a href="mailto:preethamp0197@gmail.com">preethamp0197@gmail.com</a>
          </p>
          <p>
            Links: <a href="https://linkedin.com/in/preetham-p-b77661176">LinkedIn</a> · <a href="https://github.com/preethamp0197">GitHub</a>
          </p>
        </div>
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        <p>© <span id="year"></span> Preetham P. All rights reserved.</p>
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