CV

Contact Information

Name Mya Bolds
Professional Title Ph.D. Candidate, Computer Science & Engineering
Email mbolds@ucsd.edu
Location La Jolla, California

Experience

  • Aug 2022 - Present

    La Jolla, CA

    Graduate Student Researcher
    University of California, San Diego
    • Designing a domain-adaptation framework to mitigate bias in AI systems.
    • Led a mixed-methods study training nine paired conditional GANs to replicate Instagram beauty-filter transformations, and directed a student team building a Smart Mirror system (Java/HTML/CSS, Python/Flask, SQL + Supabase) to deploy the models live, run user surveys, and audit how filter-induced changes shift AI predictions of race, age, gender, and emotion.
    • Built a bias-auditing pipeline using computer vision, Python, pretrained models, and statistical modeling to quantify how beauty filters alter facial features, and what role Western beauty standards play in that shift.
  • Mar - Jun 2026

    La Jolla, CA

    Teaching Assistant: Deep Learning
    University of California, San Diego
    • Held weekly office hours and graded coursework on core architectures (MLPs, CNNs, RNNs) and foundational methods (backpropagation, automatic differentiation).
    • Designed homework on recurrent neural networks and lectured on CNN architecture for undergraduate deep learning instruction.
  • Jun - Sep 2025

    Lexington, KY

    Data Scientist Intern
    Xerox-Lexmark
    • Built an agentic automation prototype in Databricks (PySpark, SQL, Python, LangChain) to streamline data cleaning across the Medallion architecture.
    • Fine-tuned Microsoft’s Florence VLM on Azure ML to classify and diagnose print-quality errors; improved inference through prompt engineering and tracked experiments with MLflow and Optuna/manual hyperparameter tuning.
    • Researched agentic automation with Claude and MCP servers, designing prompt-driven pipelines for data cleaning and ingestion.
    • Joined cross-functional reviews to assess model-pipeline production readiness.
  • Mar - Jun 2025

    La Jolla, CA

    Teaching Assistant: Machine Learning for Music
    University of California, San Diego
    • Built and maintained course notebooks applying logistic regression, SVMs, k-NN, TF-IDF, and stratified k-fold cross-validation.
    • Wrote technical slide content on linear regression, neural networks, activation functions, CNNs, and evaluation metrics.
  • Sep - Dec 2024

    La Jolla, CA

    Teaching Assistant: Interaction Design Research (HCI)
    University of California, San Diego
    • Supported student learning on prototyping, social computing, and interface evaluation.
    • Reviewed student-led discussions and paper commentaries to sharpen critical analysis.
  • Jun - Aug 2022

    Remote

    Data Engineer Intern
    Xerox-Lexmark
    • Transformed raw data into customer-preferred formats and built a cleansing pipeline using Databricks’ Medallion architecture, Python, and SQL.
    • Helped migrate data from the Big Decisions platform into Databricks.
  • Jun 2021 - Jun 2022

    Hybrid

    Build Research Technician
    Xavier University of Louisiana, Computer Science Department
    • Used the Flickr Faces dataset to study facial-recognition accuracy gaps between lighter and darker skin tones, and logged false positives in the Haar Cascade algorithm.
    • Tested edge detection for textured/coily hair, comparing afro and straight hair via the Structural Similarity Index.
  • Jun - Aug 2019

    La Jolla, CA

    Research Intern
    University of California, San Diego STARS Research Program
    • Helped build a framework to precisely locate a drone via an attached microchip, including a Python script to identify the chip’s position.
    • Used a Kalman filter to fuse IMU and microchip data for a refined position estimate.

Education

  • - 2028

    La Jolla, CA

    Ph.D.
    University of California, San Diego
    Computer Science
    • Advanced Computer Vision
    • Theoretical Aspects of Large Language Models
    • Computer Vision II
    • Web Mining & Recommender Systems (Machine Learning)
    • Statistical Natural Language Processing
    • Computer Vision I
    • Principles of Software Development
    • Interaction Design Research (HCI)
  • - 2025

    La Jolla, CA

    M.S.
    University of California, San Diego
    Computer Science
  • - 2021

    New Orleans, LA

    B.S.
    Xavier University of Louisiana
    Computer Science

Awards

Skills

Programming & Tools: Python, Java, SQL, R, PySpark, Databricks, Unity Catalog, LangChain, Swift, React Native, Optuna, Azure ML, MLflow, TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV, Dlib, MATLAB, Model Context Protocol, Git, Matplotlib, Seaborn, Plotly, Pandas
Machine Learning: Computer Vision, Natural Language Processing, Vision-Language Models, Transfer Learning, Fine-tuning, Prompt Engineering, Hyperparameter Tuning, Agentic Modeling, MLOps
Research & Analysis: Experimental Design, Quantitative Analysis, Qualitative Research, Data Visualization, Data Normalization, Data Pre-processing, Automated Pipeline Engineering, Web Scraping, Cross-functional Collaboration, Production Readiness Assessment, Technical Communication

Volunteer

  • Jul 2024

    La Jolla, CA

    Educational Workshop Leader
    Girls Inc
    Led a Capture the Flag workshop teaching cyber-safety to high schoolers from underrepresented backgrounds through interactive challenges.
  • Apr 2024

    San Diego, CA

    Digital Safety Instructor
    FANCY Girls Workshop
    Organized a small-scale Capture the Flag workshop teaching online safety to middle schoolers from underrepresented backgrounds.
  • Jun - Aug 2022

    La Jolla, CA

    Graduate Advocate Mentor
    UCSD STARS Mentor Program
    Mentored undergraduate HBCU students on Ph.D. preparation through weekly meetings covering imposter syndrome, conference presentation, abstract writing, and reading/writing research papers.