Hello, I'm Claudia,
an undergrad computer science student
who is fascinated by
improving lives through AI and ML solutions
about me
fast facts about me:
- I am based in Chicago, IL
- I attend the University of Illinois Chicago
- I plan to graduate in May 2027
Ever since I was a young child, I have been fascinated by computers. I played on websites like Cool Math Games for hours and thought about the time, commitment, and attention to detail the people who developed these games must have had. As I grew older, I got more curious about how computers worked. In high school, I got involved in organizations where I could learn about different avenues of computer science and how I could develop products that amaze people and make them wonder what else is possible.
Currently, I'm a senior studying Computer Science at the University of Illinois Chicago (UIC), where I have taken exciting courses like Data Structures and Intro to High-Performance Computing. I am currently an AI Fellow at Break Through Tech, studying machine learning and how to apply AI in industry. I have also interned at Runwayz, designing product features through user research and iterative AI-assisted development.
Previously, I worked as a tech consultant/research intern for Argonne National Laboratory through Chicago Tech Circle, where I partially automated qubit production through interdisciplinary collaboration. I have held multiple positions at the Adler Planetarium, including as an undergraduate intern researching light pollution and how it impacts our communities.
I have experience with Python, C++, Jupyter Notebooks, and scikit-learn. I also have excellent written and verbal communication skills as a staff tutor at the UIC Writing Center and through student leadership positions at Women in Computer Science (WiCS).
I am especially interested in AI/ML, data science, quantum computing, and back-end development. I am seeking a full-time role where I can leverage AI responsibly to create meaningful, beneficial impact on people's lives. If you are interested in collaborating, learning more about my experience, or chatting about the future of AI, please feel free to contact me through email or LinkedIn!
experience (in progress)
Intro to High-Performance Computing (HPC) Bootcamp, St. Charles, IL
Participant
August 2025
- Gained hands-on experience with distributed computing and large-scale systems during a weeklong bootcamp
- Designed, trained, and benchmarked deep learning models using PyTorch and Jupyter Notebooks on multi-GPU nodes to perform short-term load forecasting, predicting electricity demand for 30 households
- Processed and visualized time series data in Python using Matplotlib to analyze energy consumption trends
- Collaborated in a small team to develop and deliver a technical presentation summarizing model performance, trade-offs between architectures, and forecasting accuracy
Chicago Tech Circle, Chicago, IL
Tech Consultant / Research Intern
May 2024 - August 2024
- Collaborated with a cross-disciplinary team at Argonne National Laboratory to automate manufacturing processes for diamond membranes used in color center qubits
- Streamlined laboratory workflows by developing Python scripts to systematically control microscope positioning, reducing manual equipment handling by 96% and enhancing operational efficiency
- Designed and tested computer vision algorithms with OpenCV to detect membranes and extract geometric features for automated analysis
- Co-authored a technical report detailing methods, results, and recommendations for future work
Adler Planetarium, Chicago, IL
Undergraduate Research Intern
September 2022 - May 2023
- Processed and stitched aerial imagery from high-altitude balloon flights to generate geospatial light pollution maps
- Analyzed image brightness and color data with QGIS to quantify light pollution across different property zones
- Co-authored an article published in the Journal of Quantitative Spectroscopy and Radiative Transfer
- Presented a poster at the 2022 American Geophysical Union (AGU) Fall Meeting
skills
Programming Languages: Python, C++, C, SQL, Java, R, HTML
Tools: Jupyter Notebooks, GitHub, Vim, GDB, Arduino, QGIS, LaTeX
AI Tools: Claude Design, ChatGPT, Gemini
Libraries, Frameworks, & Interfaces: NumPy, Pandas, Scikit-learn, Matplotlib, OpenCV, PyTorch, Next.js, Tailwind CSS, Pthreads, OpenMP, JavaFX
awards
- Dean's List (Fall 2022 - Present)
- AnitaB Kamala Scholar (2024, 2025)
- Best Undergraduate Student Research Poster Award – Chicago Quantum Summit (2024)
