$ tail -f experience.log
AI Development Intern / Alpha AI
Austin, TX / June 2026 - Present
- Designed and fine-tuned a 7B-parameter language model for competitive programming.
- Constructed a pipeline to process web-scraped data into labeled datasets for model development.
- Fine-tuned with QLoRA, reducing training memory by 65% compared with full fine-tuning.
Software Engineering Intern / Students Teaching Finance
Greencastle, IN / May 2025 - August 2025
- Architected and deployed a full-stack Node.js platform, enabling onboarding that fueled a 4x increase in international chapter launches within 12 months.
- Engineered scalable infrastructure supporting 100+ global chapters and approximately 4,000 active student users.
Research Assistant / UC Berkeley
Berkeley, CA / December 2024 - September 2025
- Researched the intersection of AI and legal sentencing, developing a machine learning model achieving 83% accuracy on in-distribution cases and 71% accuracy on out-of-distribution datasets.
- Engineered model architecture that reduced bias in sentencing predictions by 34% compared to the baseline approach.
- Processed and analyzed over 2M anonymized federal and state sentencing records to train and validate models.
Research Fellow / Nontrivial Fellowship
Remote / July 2024 - August 2024
- Investigated quantum-inspired neural architectures to reduce training energy consumption, achieving a 28% lower compute cost on MNIST and CIFAR-10 benchmarks.
- Implemented a quantum kernel classifier using Qiskit's Aer simulator, outperforming classical SVMs by 14%.