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        <h1>Md Ataullha Saim</h1>
    </header>

    <hr />

    <!-- Notice Section -->
    <section class="notice-board">
        <div class="notice">
            <i class="fas fa-newspaper fa-xl"></i>
            <span class="notice-title">News & Updates</span>
            <ul class="notice-list">
                <li>
                    I'm looking for active collaborator on two of my current going research projects.
                </li>
                <li>
                    My undergrad thesis on under-resourced TTS got an Acceptance Review from ICASSP 2025.
                </li>
                <li>
                    I am currently not accepting new research group projects until January 2025 unless accompanied by a
                    professor's recommendation.
                </li>
                <li>
                    Recently had the privilege of reviewing a paper for ICLR 2025,
                    gaining valuable insights into international research standards.
                </li>
            </ul>
        </div>
    </section>

    <!-- About Section -->
    <section class="container">
        <img src="ataullha.jpg" alt="Md Ataullha Saim" />
        <div id="about">
            <p>
                I am an undergraduate student in Computer Science and Engineering at
                <a href="https://www.sust.edu/" target="_blank">Shahjalal University of Science and Technology (SUST),
                    Bangladesh</a>, specializing in Speech Processing and Predictive Analytics under
                the guidance of
                <a href="https://www.sust.edu/d/soc/faculty-profile-detail/31" target="_blank">Professor M. Shahidur
                    Rahman, PhD</a>.
            </p>
            <p>
                Currently, I serve as an AI Engineer at
                <a href="https://www.synesisit.com.bd/" target="_blank">Synesis IT, Convay</a>. My research interests
                lie in Low-Resource Speech Processing,
                Natural Language Processing, and Time Series Analysis, with
                publications in esteemed journals such as Elsevier and IEEE.
            </p>
            <div class="contact-info">
                <p>For inquiries, email me at: <b>ataullha00 AT gmail DOT com</b></p>
                <p>
                    Connect with me on:
                    <a href="https://www.linkedin.com/in/ataullha/" target="_blank">LinkedIn</a>, <a
                        href="https://github.com/Ataullha" target="_blank">GitHub</a>,
                    <a href="https://scholar.google.com/citations?user=N2dzzwsAAAAJ&hl=en" target="_blank">Google
                        Scholar</a>,
                    <a href="https://www.researchgate.net/profile/Md-Ataullha-Saim" target="_blank">ResearchGate</a>,
                    <a href="https://www.kaggle.com/ataullhasaim" target="_blank">Kaggle</a>,
                    <a href="ataullha_cv.pdf" target="_blank">Curriculum Vitae (CV)</a>.
                </p>
            </div>
        </div>
    </section>

    <!-- Professional Experience Section -->
    <section class="experience">
        <h2>Professional Experience</h2>
        <h3>Current Role</h3>
        <strong>Artificial Intelligence Engineer</strong>
        <span>- Synesis IT PLC</span>, <span>Dhaka, Bangladesh</span>,
        <span>Sep 2024 - Present</span>
        <p>
            Specializing in creating sophisticated <mark>chatbots</mark> tailored to
            a wide array of applications, showcasing expertise in designing
            conversational AI systems that seamlessly integrate with business needs.
        </p>

        <h3>Work History</h3>
        <strong>Natural Language Processing Engineer</strong>
        <span>- Synesis IT PLC</span>, <span>Dhaka, Bangladesh</span>,
        <span>Mar 2024 - Aug 2024</span>
        <p>
            Contributed to the enhancement of <mark>SIT-ASR</mark>, incorporating
            machine learning-driven spell suggestions to handle out-of-vocabulary
            (OOV) challenges. Developed a
            <mark>Bangla speaker diarization system</mark>, enabling accurate
            segmentation of speakers in audio. Built a
            <mark>custom LLM-based chatbot</mark> for Q&A applications and
            implemented <mark>English ASR support</mark> within SIT-ASR. Generated
            <mark>SIT-Live-CC</mark> for Bangla and English and refined the
            <mark>SIT Convay denoiser</mark> to elevate its performance and user
            experience.
        </p>
    </section>

    <!-- Education Section -->
    <section class="education">
        <h2>Education</h2>

        <!-- Shahjalal University of Science and Technology -->
        <div class="education-item">
            <strong>Shahjalal University of Science and Technology</strong>
            <span>- Bachelor of Engineering (BE) in Computer Science</span>,
            <span>Sylhet, Bangladesh</span>,
            <span>Feb 2019 - Dec 2024</span>
            <p>
                Achieved a CGPA of <mark>3.74/4.00</mark> while actively participating
                as a member of the CSE Society, SUST. During my final 1.5 academic
                years, I experienced significant academic growth, improving my CGPA by
                nearly 0.3, deepening my understanding of Machine Learning, and
                contributing to research with more than two publications. This period
                of transformation was profoundly influenced by the guidance and
                mentorship of <mark>Prof. Dr. M. Shahidur Rahman</mark>, for whom I am
                immensely grateful. My journey at SUST has equipped me with advanced
                skills in research, technical writing, project management, and
                programming, particularly in Python, along with expertise in Machine
                Learning.
            </p>
        </div>

        <!-- Notre Dame College -->
        <div class="education-item">
            <strong>Notre Dame College</strong>
            <span>- Higher Secondary Certificate (HSC) in Science</span>,
            <span>Dhaka, Bangladesh</span>,
            <span>Jul 2016 - Jun 2018</span>
            <p>
                Finished with a perfect GPA of <mark>5.00/5.00</mark>, earning a
                <mark>General Grade Government Scholarship</mark> for academic
                excellence. During my time at Notre Dame College, I was involved in
                the Science and English Clubs, fostering both my analytical and
                communication skills. This period remains one of the most rewarding
                academic phases of my life, underscoring the importance of discipline
                and time management in achieving excellence.
            </p>
        </div>

        <!-- Shamsul Hoque Khan School & College -->
        <div class="education-item">
            <strong>Shamsul Hoque Khan School & College</strong>
            <span>- Secondary School Certificate (SSC) in Science</span>,
            <span>Dhaka, Bangladesh</span>,
            <span>Jan 2009 - Feb 2016</span>
            <p>
                Completed secondary education with a perfect GPA of
                <mark>5.00/5.00.</mark> My time here laid the groundwork for my
                academic success, building a strong foundation in the sciences and
                fostering a lifelong commitment to learning and personal growth.
            </p>
        </div>

        <!-- Pragati Kindergarten and Junior High School -->
        <!-- <div class="education-item">
                <strong>Pragati Kindergarten and Junior High School</strong>
                <span>- Infant School (Nursery and Pre-K) and Classes One to Three</span>,
                <span>Dhaka, Bangladesh</span>,
                <span>Jan 2004 - Dec 2009</span>
                <p>
                    Attended Pragati Kindergarten and Junior High School, where I began my educational journey. These early
                    years were pivotal in nurturing my curiosity and setting the stage for a lifelong passion for knowledge
                    and achievement.
                </p>
            </div> -->
    </section>

    <!-- Research Section -->
    <section class="research">
        <h2>Research</h2>
        <h3>Highlights</h3>

        <div class="highlight">
            My research focuses on innovative applications of Artificial
            Intelligence in low-resource environments, with an emphasis on
            <mark>Large Language Models (LLMs)</mark>,
            <mark>Bangla speaker diarization</mark>, <mark>Bangla ASR</mark>, and
            <mark>machine-learning-driven product</mark>. My goal is to enhance
            <mark>speech processing</mark>,
            <mark>natural language understanding</mark>, and
            <mark>text-to-speech (TTS)</mark> systems to create accessible AI
            solutions that drive progress in technology, education, and
            conservation.
        </div>

        <h3>Publications</h3>
        <!-- Journal Publications -->
        <p>
            Md Shahidul Islam, Pabel Shahrear, Goutam Saha,
            <mark>Md Ataullha</mark>, and M. Shahidur Rahman. "Mathematical analysis
            and prediction of future outbreak of dengue on time-varying contact rate
            using machine learning approach." Computers in Biology and Medicine,
            vol. 178, 2024, p. 108707.
            <a href="https://doi.org/10.1016/j.compbiomed.2024.108707" target="_blank">[Journal]</a>
        </p>

        <!-- Conference Publications -->
        <p>
            <mark>Md Ataullha</mark>, Mushfiqur Rahman, and M. Shahidur Rahman.
            "PakhiderChobi: A Comprehensive Dataset for Real-time Detection of
            Bangladeshi Birds." 2023 26th International Conference on Computer and
            Information Technology (ICCIT). IEEE, 2023.
            <a href="https://doi.org/10.1109/ICCIT.2023" target="_blank">[Conference]</a>
        </p>
        <p>
            <mark>Md Ataullha</mark>, Soumik Paul Jisun, Ishrat Jahan, Mushfiqur
            Rahman. "BanFish: A Dataset for Classifying Common Bangladeshi Fish
            Species." 2024 6th International Conference on Electrical Engineering
            and Information & Communication Technology (ICEEICT). IEEE, 2024.
            <a href="https://doi.org/10.1109/ICEEICT62016.2024.10534462" target="_blank">[Conference]</a>
        </p>

        <!-- arXiv Publications -->
        <p>
            <mark>Md Ataullha</mark>, Mahedi Hassan Rabby, Mushfiqur Rahman, Tahsina
            Bintay Azam "Bengali Document Layout Analysis with Detectron2." arXiv
            preprint arXiv:2308.13769, 2023.
            <a href="https://arxiv.org/abs/2308.13769" target="_blank">[arXiv]</a>
        </p>

        <!-- Upcoming Publications -->
        <p>
            <mark>Md Ataullha</mark>, Sumitra Das, and M. Shahidur Rahman. 2024 27th International Conference on
            Computer and Information
            Technology (ICCIT). IEEE, 2024.
        </p>
        <p>
            <mark>Md Ataullha</mark>, Soumik Paul Jisun, and M. Shahidur Rahman.
            2025 IEEE International Conference on Acoustics, Speech, and Signal
            Processing (ICASSP). IEEE, 2025.
        </p>
    </section>

    <!-- Featured Projects Section -->
    <section class="projects">
        <h2>Featured Projects</h2>

        <p>
            <strong>StarGaze BD</strong>
            <span>- ML Algorithms (RF, SVM, LR), CNN, Flask, JavaScript,
                Streamlit</span><br /><br />
            A machine learning and deep learning-based web application designed to
            identify prominent Bangladeshi personalities from photos. It utilizes
            custom-built ML algorithms (Random Forest, SVM, Logistic Regression) and
            a CNN model for high accuracy. Integrated using Flask for backend
            processing, and a user-friendly interface is implemented with JavaScript
            and Streamlit.
            <a href="https://github.com/Ataullha/StarGaze-BD" target="_blank">[GitHub Link]</a>
        </p>

        <p>
            <strong>Freshman Utilities</strong>
            <span>- Java, Firebase, Google Directions API, Jsoup</span><br /><br />
            An Android application crafted to simplify campus life
            <mark>for university freshmen</mark> by offering features such as
            navigation through the Google Directions API, Firebase-based data
            storage for sharing resources, and web scraping with Jsoup to collect
            essential campus-related information.
            <a href="https://github.com/Ataullha/Freshman-Utilities" target="_blank">[GitHub Link]</a>
        </p>

        <p>
            <strong>CourseTrackr</strong>
            <span>- Java, Servlet, JSP, MySQL</span><br /><br />
            A comprehensive web-based course management system tailored for
            educational institutions. It features role-specific functionalities for
            admins, teachers, and students. Built using Java Servlets and JSP for
            dynamic web pages and MySQL for robust backend database management.
            <a href="https://github.com/Ataullha/CourseTrackr-online_course_management_system" target="_blank">[GitHub
                Link]</a>
        </p>

        <p>
            <strong>QuesTek Pro</strong>
            <span>- Java, JavaFX, Text files</span><br /><br />
            A JavaFX-based desktop application for
            <mark>conducting and managing multiple-choice quizzes</mark>. It
            supports admin verification, quiz result exportation, and local data
            storage with text files. Ideal for in-person examination setups.
            <a href="https://github.com/Ataullha/QuesTek-Pro" target="_blank">[GitHub Link]</a>
        </p>
    </section>

    <!-- Talks & Interviews Section -->
    <section class="talks-and-interviews">
        <h2>Recent Talks & Interviews</h2>

        <div class="talk-item">
            <strong>Presentation at ICCIT'23</strong>
            <span>- 26th ICCIT</span>, <spna>Cox's Bazar</spna>,
            <span>December 2023</span>
            <p>
                Delivered a presentation on the <mark>PakhiderChobi dataset</mark>,
                which consists of 8,670 annotated images of 33 Bangladeshi bird
                species. The talk highlighted the importance of accurate bird
                detection and classification for urban conservation efforts. Utilizing
                the YOLOv8 object detection model, the research achieved a mean
                average precision (mAP) of 95.3% with an inference time of just 6.6
                milliseconds per image. This tool aims to support real-time
                recognition, even in challenging scenarios, and contributes to bird
                conservation efforts amidst urbanization and habitat loss. Watch the
                talk on
                <a href="https://youtu.be/IJInvOwsZyM" target="_blank">[YouTube]</a>.
            </p>
        </div>
    </section>

    <!-- Contact Section -->
    <section class="contact">
        <h2>Contact</h2>
        <p>
            I’m always open to discussing new projects, research ideas, or
            collaboration opportunities.
            <mark>Please feel free to reach out by completing the
                <a href="https://forms.gle/k5Qo8tZUmXMoBFhd6" target="_blank">contact form</a>, and I’ll get back to you
                as soon as possible.</mark>
        </p>
        <p>
            The form includes fields for your email, name, reference, address, phone
            number, and message. If you're requesting a meeting, you can also
            specify a preferred date and time for a 30-minute session. Please
            indicate the priority of your message on a scale from 1 (Low Priority)
            to 3 (High Priority). For urgent matters, kindly highlight this in your
            message so I can prioritize my response.
        </p>
    </section>

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