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<!DOCTYPE html>
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<head>
<meta charset="UTF-8">
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<title>Benedictus Kent Rachmat</title>
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<p class="lead text-uppercase mb-1">Hello!</p>
<h1 class="intro-title marker" data-aos="fade-left" data-aos-delay="50">I'm Benedictus Kent Rachmat</h1>
<p class="lead fw-normal mt-3" data-aos="fade-up" data-aos-delay="100">AI Master Student @Paris-Saclay University | AI Engineer @SLB</p>
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<h2 class="h4 my-2">Description</h2>
<p>
He is an ML/NLP engineer with a rich background in software engineering. Currently pursuing a Master's degree in AI at l'Université de Paris-Saclay, France, he focuses academically on Large Language Models (LLMs) while gaining real-world experience. His journey includes working with companies, contributing to government projects, and engaging in cutting-edge research. In addition to actively contributing to open source projects, he harbors a strong passion for entrepreneurship with a focus on launching startups aimed at leveraging technology to make a significant positive impact on people's lives. This entrepreneurial drive complements his technical expertise and academic pursuits, guiding his journey towards creating innovative solutions that address real-world challenges.</p>
<div class="row mt-3">
<p>Languages: French, English, Indonesian, Javanese</p>
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<div class="col-md-5 offset-md-1" data-aos="fade-left" data-aos-delay="100"><img class="avatar img-fluid mt-2" src="images/avatar.jpg" width="400" height="400" alt="Walter Patterson"/></div>
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<div class="h5">Machine Learning/NLP</div>
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<div>
<h3 class="h5 mb-1"><a href="https://www.universite-paris-saclay.fr/en">University of Paris-Saclay</a> 📌</h3>
<div class="text-muted text-small">Artificial Intelligence <small>(2022-2024)</small></div>
</div>Master</div>
</div>
<div class="card-body px-3 py-2">
<p><ul>
<li>Scholarship recipient from SaclAI and Chalearn. ⭐</li>
<li>Research training in Large Language Models and challenge organization with Prof. Isabelle Guyon. ⭐</li>
<li>Research training in Graph Neural Networks under Prof. Francois Landes.</li>
<li>Mentor to M1 students.</li>
<li>Knowledge in Deep Learning, Machine Learning, Computer Vision, Natural Language Processing, Generative Models, Signal Processing, Reinforcement Learning, and more.</li>
<li>Learned Chinese and Spanish</li>
<li>Active in fencing</li>
</ul></p>
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</div>
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<h3 class="h5 mb-1"><a href="https://www.univ-lille.fr/">University of Lille</a></h3>
<div class="text-muted text-small">Computer Science <small>(2019-2022)</small></div>
</div>Bachelor</div>
</div>
<div class="card-body px-3 py-2">
<p><ul>
<li>Developed a range of applications, including multi-games, chatboxes, social media platforms, marketplaces, etc. ⭐</li>
<li>Experienced in leading and collaborating on diverse projects, demonstrating strong team-building and project management skills.</li>
<li>Knowledge in Java, C, networking, databases, Git, full-stack development, AMPL, Haskell, game development, cryptography, and more.</li>
<li>Engaged in student organization activities.</li>
</ul></p>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="section px-3 px-lg-4 pt-5" id="experience">
<div class="container-narrow">
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<h2 class="marker marker-center">Work Experience</h2>
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<div>
<h3 class="h5 mb-1">AI Engineer 📌</h3>
<div class="text-muted text-small">Schlumberger | Clamart, France</div>
</div><small>Present</small>
</div>
</div>
<div class="card-body px-3 py-2">
<p>Working on Large language model for code generation</p>
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<h3 class="h5 mb-1">Research Trainee</h3>
<div class="text-muted text-small">Chalearn | Gif-sur-Yvette, France</div>
</div><small>Sep 2023 - Feb 2024</small>
</div>
</div>
<div class="card-body px-3 py-2">
<p>Mentoring the M1 students</p>
<p>Prepararing for the next challenge class</p>
</div>
</div>
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<div>
<h3 class="h5 mb-1">NLP Engineer</h3>
<div class="text-muted text-small">INRIA | Gif-sur-Yvette, France</div>
</div><small>May 2023 - Sep 2023</small>
</div>
</div>
<div class="card-body px-3 py-2">
<p>Worked on the Auto-Survey Challenge in collaboration with Google which was presented at the AutoML Conference 2023 and JDSE conference 2023. My primary focus was on paper generation using LLMs and automated prompt engineering to create systematic overview papers in various domains. Leveraging state-of-the-art LLMs.</p>
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<h3 class="h5 mb-1">Research Trainee</h3>
<div class="text-muted text-small">LISN | Gif-sur-Yvette, France</div>
</div><small>Jan 2023 - Feb 2023</small>
</div>
</div>
<div class="card-body px-3 py-2">
<p>Used GNNs to predict molecular movements within glass structures</p>
</div>
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<h3 class="h5 mb-1">QA Engineer</h3>
<div class="text-muted text-small">Aircall | Paris, France </div>
</div><small>Apr 2022 - Aug 2022</small>
</div>
</div>
<div class="card-body px-3 py-2">
<p>Designed and automated test cases with the help of Cypress and Zephyr.</p>
<p>Created/validated task tickets and bug tickets</p>
</div>
</div>
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<div class="card mb-3" data-aos="fade-right" data-aos-delay="500">
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<h3 class="h5 mb-1">Full-stack Developer</h3>
<div class="text-muted text-small">Mandira Travel | Surabaya, Indonesia </div>
</div><small>Apr 2021 - Nov 2021</small>
</div>
</div>
<div class="card-body px-3 py-2">
<p>We built the website's front-end and improved the database structure. We also made a system to help organize events and changed how things looked and worked on the site.</p>
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<h3 class="h5 mb-1">Full Stack Developer</h3>
<div class="text-muted text-small">Embassy of Indonesia | Paris, France</div>
</div><small>May 2020 - Sep 2020</small>
</div>
</div>
<div class="card-body px-3 py-2">
<p>I helped to design and create their internal website using CodeIgniter along with JavaScript, CSS, HTML, JQuery, Bootstrap and the database. In total I have completed 3 different kind of project.</p>
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<div class="section px-3 px-lg-4 pt-5" id="projects">
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<h2 class="marker marker-center">Projects and Contributions</h2>
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<h3 class="h5 mb-1">Adversarial Attack Competition <span class="text-danger">[IN PROCESS]</span> </h3>
<div class="text-muted text-small"><a href="https://neurips.cc/">NeurIPS</a> <small>(2024)</small></div>
</div><span><a href="https://github.com/ihsaan-ullah/checklist" title="Github code"><i class="fab fa-github"></i></a>
<a href="https://openreview.net/pdf?id=kOCCEhWDG9" title="Paper"><i class="fa fa-file"></i></a></span>
</div>
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<div class="card-body px-3 py-2">
<p>At NeurIPS'24, we are excited to unveil a novel AI-driven review assistant tailored to scrutinize and enhance authors' responses to the NeurIPS checklist.</p>
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<h3 class="h5 mb-1">RelevAI-Reviewer <span class="text-danger">[IN PROCESS]</span> </h3>
<div class="text-muted text-small"><a href="https://caprfiap2024.sciencesconf.org/resource/page/id/4">CAp Conference</a> <small>(2024)</small></div>
</div><span><a href="https://github.com/paulohenriquecrs/RelevAI-Reviewer" title="Github code"><i class="fab fa-github"></i></a>
<a href="https://openreview.net/pdf?id=dwL84qRItQ" title="Paper"><i class="fa fa-file"></i></a></span>
</div>
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<div class="card-body px-3 py-2">
<p>In the paper, we introduce an automatic system designed to streamline the review process of survey papers by treating it as a classification challenge. Our system aims to evaluate the relevance of scientific papers based on a specific prompt, using a unique dataset to train machine learning models for identifying the most pertinent papers. Preliminary results demonstrate that our BERT-based classifier notably outperforms traditional machine learning approaches.</p>
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<h3 class="h5 mb-1">Auto-Survey Challenge</h3>
<div class="text-muted text-small"><a href="https://hebergement.universite-paris-saclay.fr/jdse/">JDSE</a> and <a href="https://2023.automl.cc/">AutoML</a> Conference <small>(2023)</small></div>
</div><span><a href="https://github.com/kentrachmat/public_ai_paper_challenge_codabench" title="Github code"><i class="fab fa-github"></i></a>
<a href="http://auto-survey.ml/" title="Website"><i class="fa fa-globe"></i></a>
<a href="https://arxiv.org/pdf/2310.04480.pdf" title="Paper"><i class="fa fa-file"></i></a></span>
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<div class="card-body px-3 py-2">
<p>In an ambitious collaboration with Google, I had the opportunity to work on the Auto-Survey Challenge under the supervision of Isabelle Guyon. This project was presented at the prestigious AutoML Conference and JDSE Conference in 2023. The core objective of the Auto-Survey Challenge was to innovate the process of generating and reviewing systematic overview papers in various academic and research domains. Leveraging the advanced capabilities of Large Language Models (LLMs). This initiative represented a significant stride in automating aspects of academic research, combining the latest in AI technology with scholarly needs. </p>
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<h3 class="h5 mb-1">Gson Community Involvement</h3>
<div class="text-muted text-small">University of Lille <small>(2021)</small></div>
</div><span><a href="https://github.com/google/gson" title="Github code"><i class="fab fa-github"></i></a></span>
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<p>I have contributed to Google's Gson community. Gson is a renowned Java library for converting Java Objects into JSON and back</p>
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<h3 class="h5 mb-1">School Projects</h3>
<div class="text-muted text-small">Personal <small>(2019-2024)</small></div>
</div><span><a href="https://github.com/kentrachmat/school-projects" title="Github code"><i class="fab fa-github"></i></a></span>
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<p>Check out my github repo for my school projects ;)</p>
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