Software Engineer · Stanford '25 · UW ECE
Software Development Engineer at Amazon. Stanford CS graduate beginning graduate study in electrical and computer engineering at UW, with interests in reliable infrastructure, embedded systems, and robot learning.
I'm a software engineer interested in reliable infrastructure, robot learning, and the work required to make technical ideas useful in practice.
At Amazon in Seattle, I build tools for region-flexible infrastructure and work on problems in observability and memory efficiency. My earlier projects span embedded bird-call classification, reinforcement learning, computer vision, and education technology.
I'm beginning graduate study in electrical and computer engineering at UW while continuing to work full time. Longer term, I plan to pursue research in robot learning, particularly uncertainty, robustness, and resource-constrained systems.
Software Development Engineer · Seattle, WA
Teaching Assistant, STS 200N · Stanford, CA
CS 105 Section Leader · Stanford, CA
Software Development Engineering Intern · Seattle, WA
Research Assistant · Stanford, CA
Fine-tuned BirdNET deep learning model to identify endangered California Least Tern calls. Deployed on Raspberry Pi for real-time field monitoring and habitat conservation.
Studied how ingroup preferences affect cooperation in multi-agent reinforcement learning environments, connecting learned behavior with questions about coordination and group identity.
Fine-tuned MusicGen on approximately 7.5 hours of vocal audio, using Essentia-based captions to create structured training data for the adaptation process.
Developed a Mixture of Experts model with ResNet-18 architectures for facial emotion recognition. Used PCA and t-SNE to analyze learned representations.
Languages
Python · TypeScript · JavaScript · Go
C/C++ · Java · SQL · HTML/CSS
Frameworks & Tools
React · Next.js · Node.js
PyTorch · TensorFlow · NumPy · Pandas
Cloud & Infrastructure
AWS CDK · Lambda · DynamoDB
PostgreSQL · Git · CI/CD
Domains
Machine Learning · Robot Learning
Embedded Systems · Distributed Systems
Electrical & Computer Engineering
Beginning 2026 · Seattle, WA
Robot Learning · Embedded Systems · Decision-Making Under Uncertainty
B.S. Computer Science (Artificial Intelligence)
Minor in Education · June 2025
Natural Language Processing · Machine Learning · Data Structures & Algorithms
Delta Sigma Theta Sorority · AI Society · Affiliated Students Entrepreneurship Society (Engagement Chair) · NSBE/SBSE · ColorStack · Apple Pathways Alliance · Rewriting the Code
SWE Fellow & Recruiting Captain
Selected for 18-month professional development program. Received 1:1 coaching and led recruiting initiatives for diverse talent in tech.
LaIR Course Helper
Facilitated help sessions for Programming Methodology and Programming Abstractions. Assisted with debugging and course materials for 3 years.
Always happy to connect about cloud infrastructure, embedded systems, or robot learning.
kadija@alumni.stanford.edu