03/2025 — Present
Software Development Engineer
Amazon Web Services (AWS) · Seattle, WA
About
Engineering across the full stack of intelligence.
I work at the intersection of distributed systems and machine learning. I'm currently a Software Development Engineer at AWS in Seattle, building backend systems at scale.
Before AWS, my path ran through generative modeling research at Lawrence Livermore National Laboratory, applied ML engineering, and academic computer vision work. I previously served as President of Santa Cruz Artificial Intelligence, a 150+ member ML organization at UC Santa Cruz. I'm currently open to new opportunities in distributed systems, backend infrastructure, and applied machine learning.
Experience
06/2024 — 03/2025
Machine Learning Engineer
CoreData AI · Remote
- Engineered and deployed AI chatbots and backend models enabling customers to derive actionable insights from their data — improving time-to-decision by 60% and engagement by 40%.
- Built the backend in Python on AWS Lambda, exposing scalable endpoints via API Gateway for low-latency, serverless inference.
- Developed domain-specific prompt engineering and response templates (task decomposition, structured outputs, guardrails), improving relevance and consistency while reducing hallucinations.
08/2022 — 01/2023
Data Scientist
Lawrence Livermore National Laboratory · Livermore, CA
- Implemented Continuous Conditional GANs (CcGANs) in PyTorch as a learned surrogate for spatial laser energy deposition during 3D metal printing — replacing classical melt-pool simulations requiring HPC-scale compute.
- Modified the CcGAN loss function to incorporate physical constraints and built custom dataset augmentation pipelines, achieving 93% fidelity to ground-truth physical experiments.
- Contributed to libROM, a C++ Reduced Order Modeling library — authoring a regression test suite, enhancing the CI workflow with GitHub Actions, and incorporating FEM-based simulations.
09/2021 — 08/2022
President — Santa Cruz Artificial Intelligence
UC Santa Cruz, Baskin School of Engineering · Santa Cruz, CA
- Led a Baskin Engineering–affiliated organization of over 150 members.
- Prepared and delivered lessons, and mentored members through their projects. (Lecturer, 2018–2022.)
06/2021 — 06/2022
Researcher — Computer Vision Lab
UC Santa Cruz · Santa Cruz, CA
- Worked with Professor Roberto Manduchi to maintain and benchmark an iOS Swift-based OCR application for the visually impaired, integrating Google ML Kit features.
06/2020 — 09/2020
Software Engineering Intern — End User Computing
VMware · Palo Alto, CA
- Built an Angular-based project enhancing the renovated Workspace ONE administration console, adding functionality to the Identity Management UI in Angular 8 and Clarity.
08/2019 — 09/2019
Embedded Systems & Deep Learning Intern
ICURO · Santa Clara, CA
- Delivered a Python OCR-based license-plate recognition system using TensorFlow Lite MobileNet and Darknet YOLOv3, reaching 96% accuracy on a custom dataset.
- Shipped 8-bit quantized models for offline on-device inference on Edge TPU / Mendel Linux, achieving a 10× reduction in model size.
Toolkit
What I build with.
Languages
ML & AI
Systems & Infra
Libraries & Data
Education
Foundations.
01/2023 — 06/2024
M.S. in Computer Science — GPA 3.82 / 4.00
University of California, Santa Cruz
MS Project: Evaluating the effectiveness of fairness techniques for decision-tree classifiers. Benchmarked five interventions — including rule-based pruning, Shapley-importance pruning, and direct modification of scikit-learn's Cython decision-tree training to penalize imbalanced splits — reducing false-positive-rate divergence on the maximally divergent subgroup by 7.82% with no degradation in accuracy or ROC AUC.
09/2018 — 12/2021
B.S. in Computer Science — GPA 3.46 / 4.00
University of California, Santa Cruz