Downloadable PDF: https://utexas.box.com/s/tn0w6z952fhp7qd0lwmg5q8d6eblmrk6
Contact
scanlinsystems@gmail.com | LinkedIn | www.kayleescanlin.dev | Github: @Kscnl1n | 832.829.9951
Education
Texas State University (Honors) — Aug. 2025-May 2027
B.S. Computer Science, Minor(s): Data Science & Business Administration
Lone Star College (Honors) — Aug. 2023 — Dec. 2024
A.S. Computer Science
Major GPA: 4.0, Cumulative GPA: 3.92
Relevant coursework: Data Structures, Computer Organization, Honors Statistics, Digital Systems, Signals & Systems
Awards & Honors: Dean’s List, Phi Theta Kappa honors scholarship, STEM Research scholarship, Jack Kent Cooke Scholarship, Honor’s College Leadership merit award
Skills & Certifications
· Programming: C/C++, Python, Java, Rust, Go, JavaScript, SQL, Bash, Julia, R
· Hardware & Systems: RTL Design, Verilog (basic), VLSI concepts, HPC clusters (Slurm), GPU/CPU optimization, Linux
· Data & Analysis: Power/Performance Profiling, Signal Processing, Statistical Analysis, Regression, MATLAB, Excel
· DevOps & Cloud: Docker, Kubernetes, Jenkins, Git, Azure (AZ-900), AWS, IBM Cloud
· AI & ML Applications: TensorFlow, PyTorch, YOLOv8, LLMs, Anomaly Detection, CodeBERT/GraphCodeBERT
· Certifications: Microsoft AZ-900 (in progress), IBM Data Science Professional (in progress), PMP (in progress)
Texas Advanced Computing Center – DATA ENGINEERING INTERN Jan. 2025-March. 2026
Reference: Juliana Duncan (jrduncan@tacc.utexas.edu)
· Built and maintained data pipelines transforming IoT sensor and emissions data into structured SQL systems for environmental analysis.
· Implemented real-time performance dashboards (Plotly Dash, Flask, Tableau) improving data latency by 30%.
· Collaborated with HPC engineers to optimize compute efficiency and minimize power usage across data processing jobs.
· Led end-to-end development of “AI-Spy,” a generative AI platform for visualizing research outputs with StableDiffusion, integrating hardware-efficient LoRA fine-tuning pipelines.
Pacific Northwest National Labs – MACHINE LEARNING ENGINEERING INTERN Oct. 2025-Dec. 2025
Reference: Joseph Cottam (joseph.cottam@pnnl.gov)
· Developed a cloud-ready ML pipeline using Python and Rust to predict performance regressions across distributed systems, integrating DevOps workflows and CI/CD for automated benchmarking and analysis.
· Automated pipelines for commit-based benchmarking of Lamellar HPC workloads to collect performance metrics in .JSON format and detect runtime regressions using SLURM scheduling and Python.
· Created feature engineering tools to extract and embed Git diffs using CodeBERT/GraphCodeBERT for regression classification and anomaly detection and T5 Gemma for regression analysis.
CADS Center, Texas State University – HPC SOFTWARE DEVELOPER Aug. 2025-Present
Reference: Dr. Damien Valles (damien.valles@txstate.edu)
· Designed and developed a graphical user interface (GUI) for Texas State’s flagship HPC cluster, LEAP2, enabling non-computational researchers to submit, monitor, and manage Slurm jobs through a web portal.
· Architected the platform using Open OnDemand (OOD) and custom API paths integrating React/Next.js and FastAPI for authentication and job orchestration.
· Implemented secure OIDC/SAML authentication, interactive applications (JupyterLab, VS Code, RStudio), and file system access via Globus/SFTP.
University of Texas at Austin – MACHINE LEARNING RESEARCHER May 2024-Aug. 2024
Reference: Dr. Raghu Bollapragada (raghu.bollapragada@austin.utexas.edu)
· Designed a computer vision pipeline (YOLOv8) trained on 60,000+ multispectral images, improving object detection accuracy by 12% while uncovering bias across demographics.
· Leveraged GPU-accelerated HPC systems to reduce training time by 40%, optimizing research throughput.
· Presented findings through academic poster and paper publications, bridging technical insights to a non-technical research audience via paper and poster.
Professional Development
Cornell University, Estée Lauder – BREAK THROUGH TECH PARTICIPANT May 2025-Dec. 2025
Partnered with a 7-member cross-functional team to design and analyze a Randomized Controlled Trial (RCT) measuring the effect of surprise gifts on customer spending for Estée Lauder.
Applied the MLRATE technique in Python to boost statistical power and quantify ROI uplift, generating insights with direct business application for retail strategy.
Directed project workflow through Jira task boards and structured timelines, ensuring on-time delivery of client-ready analytics and presentations.
Codepath – TECHNICAL INTERVIEW PREP & CYBER SECURITY COURSE PARTICIPANT Summer 2025
Completed an accelerated, industry-vetted curriculum covering algorithms, data structures, and system design, simulating real-world technical problem-solving.
Solved 100+ coding challenges in Python, Java, and C++ with team members.
SC24 — Data Science Researcher — Nov. 2024
Reference: Rosalia Gomez (rosalia.gomez@tacc.utexas.edu)
Participant in Texas Advanced Computing Center (TACC)-sponsored program, ACSC (Advanced Computing for Social Change), a paid week-long datathon where participants constructed data science projects to tell narratives involving social change.
Conducted in-depth statistical analysis and data visualization on 4,000+ entries from the Broward County Police Department dataset to uncover patterns of racial bias in the COMPAS recidivism algorithm using Python, Pandas, Seaborn, and Matplotlib.
Project link: https://www.linkedin.com/feed/update/urn:li:activity:7297742548813365248/
Engineered a reconstructed neural network model of the proprietary COMPAS algorithm by implementing network weights and biases outlined in COMPAS documentation; trained the model on judicial datasets to evaluate algorithmic fairness and validate observed disparities.
Designed and delivered a technical presentation on algorithmic bias and model interpretability to an audience of 60+ researchers and professionals at SC24 (Supercomputing Conference) in Atlanta, GA, demonstrating strong skills in data storytelling and domain communication.
Leadership & Innovation
Association for Computing Machinery at Kingwood – Founder & President Fall 2023-Summer 2025
Reference(s): Dr. David Piro (dpiro@lonestar.edu), Dr. Jennifer Marquez (jennifer.l.marquez@lonestar.edu)
Founded & directed student chapter of the Association of Computing Machinery at Lone Star Kingwood.
Recruited 10+ officers and increased organization membership from 5 to 30+. Presented, recorded, & uploaded bi-monthly technical workshops over essential subjects and skills in computing professionals; such as machine learning, Github, web development, etc.
ACM Projects – Founder & Executive Director Fall 2023, Spring 2024
Directed Agile-based project cycles across four interdisciplinary teams, ensuring alignment between technical execution, stakeholder expectations, and delivery milestones from concept to final demo.
Designed and launched the ACM Projects program strategy, leading recruitment, stakeholder engagement, and managing a team of five officers to scale student participation and impact.
Recruited and retained 17+ students, fostering collaboration and driving project completion, including a Spring 2024 award-winning product demo.
Hack Summer Creek 2024, 2025 – Founder & Executive Director Spring 2024-Present
Reference: Jamie Mount (jmount@humbleisd.net)
Founded & directed hackathon with 80+ participants, managing sponsor relationships, accounting, and logistics while mentoring student teams & overseeing volunteer team.
STEM Horizons – 501©(3) Founder Spring 2024-Present
Built a nonprofit providing free STEM education to underserved K-12 students, scaling membership from 16 to 60+ and securing partnerships with Houston ISD, Humble ISD, and Major League Hacking.