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                <li><a href="index.html">About Me</a></li>
                <li><a href="qualifications.html">Qualifications</a></li>
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                <li><a href="pics/resume.pdf">Resume</a></li>
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                <a href="index.html">Cameron Quilici</a>
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            <h2>Work Experience</h2>

            <h3>Texas A&amp;M University - CSCE Department</h3>
            <ul>
                <li><strong>May 2023 - Present</strong></li>
                <li>Undergraduate Research Assistant</li>
                <li>College Station, TX</li>
                <li>Collaborated under the guidance of Dr. Timothy Davis on advanced graph algorithm projects.</li>
                <li>Focused on leveraging the GraphBLAS C API to implement established graph algorithms, aiming to
                    optimize performance.</li>
                <li>Engaged in regular meetings with the research team, discussing algorithmic strategies, challenges
                    faced, and iterative solutions to improve algorithm efficiency.</li>
            </ul>

            <h3>Hewlett Packard Enterprise / Cray Inc.</h3>
            <ul>
                <li><strong>May 2023 - August 2023</strong></li>
                <li>Software Engineer Intern</li>
                <li>Spring, TX</li>
                <li>Helped develop a tool that enables developers to initiate a local service pointing at a GCP VM. This
                    VM hosts a REST service, "Launcher", capable of executing DeterminedAI experiments within multiple
                    containers such as Podman, Apptainer, and Enroot, all seamlessly operating atop SLURM or PBS
                    workload managers.</li>
                <li>Significantly enhanced testing efficiency by transitioning CircleCI test suites from on-prem runners
                    to GCP-based SLURM/PBS VMs, reducing test suite durations by an nearly 33% on average.</li>
                <li>Architected and executed scripts leveraging Terraform to automate the creation of GCP instances.
                    Additionally, displayed expertise in image creation by devising both SLURM and PBS images using
                    Packer and Ansible, which necessitated an in-depth understanding and configuration of the two major
                    workload managers.</li>
            </ul>

            <h3>Hewlett Packard Enterprise / Cray Inc.</h3>
            <ul>
                <li><strong>May 2022 - August 2022</strong></li>
                <li>Software Engineer Intern</li>
                <li>Seattle, WA</li>
                <li>Worked collaboratively with a team of 8-10 senior software engineers to help develop the "Launcher"
                    product that can train and run DeterminedAI machine learning models distributively on supercomputer
                    clusters.</li>
                <li>Tested and updated software using PyTest and CircleCI. Became familiar with the CI/CD process and
                    corresponding skills.</li>
                <li>Developed Bash scripts to allow developers to launch jobs remotely via REST calls under the privacy
                    of their own user account.</li>
                <li>Developed a tool that allows users to create a personal authentication token that gives non-root
                    developers access to query SLURM job information on a given cluster.</li>
                <li>Learned multiple developer skills such as Docker, Kubernetes, Maven, Unix/Linux, Bash, Go, SSL, SSH,
                    RESTful API, and more.</li>
            </ul>

            <h3>Texas A&amp;M University Academic Success Center</h3>
            <ul>
                <li><strong>December 2021 - August 2022</strong></li>
                <li>Mathematics and Engineering Tutor</li>
                <li>College Station, TX</li>
                <li>Used my knowledge of science and engineering to help various students in their respective
                    disciplines.</li>
                <li>Broke down complex subjects such as multi-variable calculus, linear algebra, and calculus-based
                    physics into simpler, more easily digestible bits of information.</li>
                <li>Worked up to 15 hours a week while simultaneously engaging in a full-time course load and
                    maintaining an executive position in social clubs.</li>
            </ul>

            <h2>Academic and Research Experience</h2>
            <p>I am currently in the <a href="https://launch.tamu.edu/undergraduate-research/urs">Undergraduate Research
                    Scholars Thesis Program</a>
                working under <a href="https://engineering.tamu.edu/cse/profiles/davis-tim.html">Dr. Tim Davis</a>
                researching the implementations of novel graph algorithms using the <a
                    href="https://graphblas.org/">GraphBLAS C API</a>.
            <ul>
                <li><a href="https://www.maths.ed.ac.uk/~v1ranick/papers/wilsongraph.pdf">Introduction to Graph Theory
                        Textbook</a></li>
                <li><a href="https://people.eecs.berkeley.edu/~aydin/LAGraph19.pdf">LAGraph: A Community Effort to
                        Collect Graph
                        Algorithms Built on Top of the GraphBLAS
                    </a></li>
                <li><a href="https://arxiv.org/abs/1606.05790">Mathematical Foundations of GraphBLAS</a></li>
                <li><a href="https://arxiv.org/abs/1504.01039">Graphs, Matrices, and the GraphBLAS: Seven Good
                        Reasons</a></li>

            </ul>

            <p>Here is my undergraduate thesis <a href="pics/QUILICI-FINALTHESIS-2024.pdf">"Graph Clustering Algorithms in GraphBLAS"</a>.
            For a shorter introduction to my research, check out this <a href="pics/Research_Poster_Cam_Quilici.pdf">research poster</a>.</p>
            </p>


            <h3>Relevant Coursework</h3>

            <h4>Past Courses</h4>
            <ul>
                <li>CSCE 121: Intro to Program Design and Concepts</li>
                <li>CSCE 221: Data Structures and Algorithms</li>
                <li>CSCE 222: Discrete Math</li>
                <li>CSCE 312: Computer Organization</li>
                <li>CSCE 313: Introduction to Operating Systems</li>
                <li>CSCE 314: Programming Languages</li>
                <li>CSCE 315: Programming Studio</li>
                <li>CSCE 411: Design and Analysis of Algorithms</li>
                <li>CSCE 420: Artificial Intelligence</li>
                <li>CSCE 435: Parallel Computing</li>
                <li>MATH 304: Linear Algebra</li>
                <li>MATH 308: Differential Equations</li>
                <li>MATH 411: Probability Theory</li>
                <li>MATH 470: Cryptography</li>
                <li>MATH 427: Number Theory</li>
                <li>MATH 415: Algebra</li>
                <li>OCNG 451: Mathematical Modeling of the Ocean and Climate</li>
                <li>MATH 409: Real Analysis</li>
                <li>CSCE 421: Machine Learning</li>
                <li>CSCE 433: Formal Languages and Automata</li>
                <li>CSCE 491: Research</li>
                <li>CSCE 412: Cloud Computing</li>
            </ul>

            <h4>Current Courses</h4>
            <ul>
                <li>CSCE 442: Scientific Programming</li>
                <li>MATH 436: Topology</li>
                <li>STAT 212: Principles of Statistics II</li>
            </ul>

            <h4>Planned Courses</h4>
            <p>
                Graduating May 2024.
            </p>
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        <p>Author: Cameron Quilici</p>
        <p><a href="mailto:quilicam@tamu.edu">quilicam@tamu.edu</a></p>
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