annshress.github.io/index.html at master · annshress/annshress.github.io · GitHub

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<!DOCTYPE html>

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    <title>Anish Shrestha</title>
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                <h1>Anish Shrestha</h1>
                <h2>About Me: Software Engineer with an appetite for feedback, sharing, growth, and continuous improvement.
                    Outside my study and work, I like football, hiking, cooking, and trying out new hobbies.
                </h2>
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                    <a href="https://github.com/annshress"><img src="assets/cgithub.svg" class="iico" /></a>
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                Reach me out anywhere! I will respond.
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    <hr>

    <div id="history" class="container">
        <div class="entry row">
            <div class="timespan">
                2023
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                  I am a Software Engineer with the <a href="https://www.niaid.nih.gov/research/bioinformatics-computational-biosciences-branch">
                  Bioinformatics and Computational Biosciences Branch</a> at NIAID, where I design and maintain Python-based systems for scientific research.
                  My work focuses on web development with Flask, workflow orchestration using Prefect, and infrastructure management with Terraform.
                  I’ve made significant contributions to platforms like <a href="https://nephele.niaid.nih.gov/">Nephele</a> and
                  <a href="https://3d.nih.gov/">NIH 3D</a>, helping deliver scalable, data-driven solutions for biomedical research.
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                2021
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            <div class="desc">
                <div class="htxt">
                    I was a graduate research assistant in Department of Computer Science at <a
                        href="https://miamioh.edu/">Miami University</a>. I worked in <a
                        href="https://www.dachb.com/">DACHB</a> lab under the supervision of <a
                        href="https://www.google.com/search?client=firefox-b-1-d&q=philippe+giabbanelli">Dr. Giabbanelli</a>.
                      We emphasized on using emerging technologies to solve lackings in participatory modeling, such as using
                      emerging LLMs like GPT to automatically explain concept maps and Microsoft Hololens to enable modelers
                      to collaborate virtually in a remote environment setting.
                    <br>
                    I was also enrolled in Master's degree in Computer Science. I graduated on May, 2023.
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                2020 - 2021
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                <div class="entry-dot"></div>
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            <div class="desc">
                <div class="htxt">
                    I was a software developer at <a href="https://togglecorp.com/">Togglecorp</a>. Togglecorp is a
                    private company aiming for humanitarion aid through data.
                    I worked on an administrative web application for <a
                        href="https://www.internal-displacement.org/">Internal Displacement Monitoring Centre (IDMC)</a>
                    to monitor displacements across the globe.
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                2018 - 2019
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                    I was a full-stack developer at WhyUnified.
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                2016 - 2019
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                    I was a software developer at Infinia Hub.
                    <br>
                    Here is where I started coding as a professional. I came across the most amazing people in the industry while I was working there.
                    Therefore this workplace has some of the fondest memories.
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        <div class="entry row">
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                2012 - 2016
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                <div class="entry-dot"></div>
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            <div class="desc">
                <div class="htxt">
                    Bachelor in Computer Engineering at <a href="https://ioe.edu.np/">Tribhuvan University</a>. This is
                    where I first got exposed to nits and bits of computer science.
                    I, along with few of my classmates, created a machine learning application for recognizing facial
                    expressions. We were advised by <a
                        href="https://scholar.google.com/citations?hl=en&user=S1dL69sAAAAJ">Dr. Joshi</a>.
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    <div style="background-color: #ddd; padding-top: 1px; margin-top: 10px;">
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            <div class="ctitle">Research</div>
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                    <p>
                        My research interests lie in web and data science especially in the health domain.
                    </p>
                    <p>
                        I researched on <u>Natural Language Generation</u> using <a href="https://openai.com/blog/gpt-3-apps/">OpenAI's GPT</a> and their effectiveness on
                        less-explored domains like <u>causal mapping</u> and <u>health informatics</u>. I was able to publish this work at "Proceedings of the 2022 Winter Simulation Conference, ACM/IEEE" which you can find here: <a href="https://doi.org/10.1109/WSC57314.2022.10015446">PAPER</a>.
                        <br>
                        <br>
                        I also got the opportunity to work in <u>mixed reality</u> using <a href="https://www.microsoft.com/en-us/hololens/hardware">HoloLens 2</a>. Being able to work in such emerging
                        technologies is simply astounding.
                        <br>The DEMO of our work is shown here: <a href="https://www.youtube.com/watch?v=0fimAqllFZQ">YOUTUBE</a>, and our work as of the current state is available publicly in <a href="https://osf.io/sy395/.">Open Science Framework</a>.
                    </p>
                    <h3>Publications & Appearances</h3>
		    <ul>
          <li>Shrestha, A.; Giabbanelli, P.J. Are We Ready for Synchronous Conceptual Modeling in Augmented Reality? A Usability Study on Causal Maps with HoloLens 2. Information 2025, 16, 952. <a href="https://doi.org/10.3390/info16110952">https://doi.org/10.3390/info16110952</a></li>
<li>Giabbanelli, Philippe, Anish Shrestha, and Loic Demay. "Design and Development of a Collaborative Augmented Reality Environment for Systems Science." (2024). [<a href="https://doi.org/10.24251/HICSS.2024.071">https://doi.org/10.24251/HICSS.2024.071</a>]</li>
<li>Shrestha, A., Mielke, K., Nguyen, T.A., Giabbanelli, P.J. (2022) Automatically explaining a model: using deep neural networks to generate text from causal maps. <i>Proceedings of the 2022 Winter Simulation Conference</i>, ACM/IEEE. [<a href="https://doi.org/10.1109/WSC57314.2022.10015446">https://doi.org/10.1109/WSC57314.2022.10015446</a>]</li>
<li>
Automatic text generation to explain simulations. <i>Symposium on Natural Language Processing and Simulation</i>, 2022, Miami University [<a href="https://www.linkedin.com/feed/update/urn:li:activity:6987196452556996609/">LinkedIn Post</a>]
</li>
</ul>

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    <div class="container">
        <div class="ctitle">Miscellaneous</div>
        <div class="row">
            <div class="desc rdesc">View my <a target="_blank" href="resume.html">Resume</a>.
                You can download it here: <a href="https://github.com/annshress/annshress.github.io/blob/master/resume.pdf">github</a></div>
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