Software Engineer · Stanford '25

Kadija Ismail

Software Development Engineer at Amazon. Stanford CS graduate specializing in AI. I like building things that matter.

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01

Building software that scales

I'm a software engineer passionate about building scalable systems and meaningful products.

Currently at Amazon in Seattle, I build infrastructure tools used by tens of thousands of engineers. My background spans machine learning research, education technology, and cloud systems that serve real people at scale.

I also love teaching—I spent three years helping students learn to code at Stanford, from intro CS to more advanced topics. There's something deeply satisfying about breaking down complex concepts and watching them click.

30K+
Users Impacted
3
Languages
3+
Years Teaching
02

Experience

Current

Amazon

Software Development Engineer · Seattle, WA

  • Building cloud infrastructure and developer tools at scale
  • Working on AWS systems that power global services
Sep 2025 – Present
Teaching

Stanford University

Teaching Assistant, STS 200N · Stanford, CA

  • Facilitated discussions analyzing Black cultural practices and technology
  • Guided students in critically examining race, power, and innovation
Mar – Jun 2025
Teaching

Stanford University

CS 105 Section Leader · Stanford, CA

  • Led weekly sections for Introduction to Computers for high school students
  • Developed lesson plans and provided individualized mentorship
Sep 2024 – Jan 2025
Internship

Amazon

Software Development Engineering Intern · Seattle, WA

  • Built Python CLI for Odin Replicator to replicate AWS resources across regions
  • Implemented API endpoints and AWS Lambdas, used by 30,000+ users annually
  • Authored architectural designs and documentation for adoption
Jun – Sep 2024
Research

VMware Women's Leadership Innovation Lab

Research Assistant · Stanford, CA

  • Curated datasets and built Python visualizations on women in STEM trends
  • Contributed analytical support for evidence-based gender equality initiatives
Feb – Jun 2024
03

Technical Projects

Embedded AI · Conservation

Endangered Bird Identification System

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.

Python Deep Learning Raspberry Pi Audio ML
Machine Learning · CS229

FER-MoE: Facial Emotion Recognition

Developed Mixture of Experts model with ResNet-18 architectures for nuanced facial emotion recognition. Used PCA and t-SNE for representation analysis.

PyTorch ResNet MoE Computer Vision
04

Technical Skills

Languages

Python · JavaScript · TypeScript
C/C++ · Java · SQL · HTML/CSS

Frameworks & Tools

React · Next.js · Node.js
PyTorch · TensorFlow · NumPy · Pandas

Cloud & Infrastructure

AWS Lambda · DynamoDB
PostgreSQL · Git · CI/CD

Domains

Machine Learning · NLP
Embedded Systems · Full-Stack

05

Education

Stanford University

B.S. Computer Science (Artificial Intelligence)

Minor in Education · June 2025

Relevant Coursework

Natural Language Processing · Machine Learning · Data Structures & Algorithms

Organizations

Delta Sigma Theta Sorority · AI Society · Affiliated Students Entrepreneurship Society (Engagement Chair) · NSBE/SBSE · ColorStack · Apple Pathways Alliance · Rewriting the Code

Awards

Ron Brown Scholar Elks National Foundation Top 20 Presidential Award for Educational Excellence
06

Leadership

Management Leadership for Tomorrow

SWE Fellow & Recruiting Captain

Selected for 18-month professional development program. Received 1:1 coaching and led recruiting initiatives for diverse talent in tech.

Stanford CS Department

LaIR Course Helper

Facilitated help sessions for Programming Methodology and Programming Abstractions. Assisted with debugging and course materials for 3 years.

Let's connect

Always happy to chat about software, ML, or interesting problems.

LinkedIn GitHub Portfolio
kadija@alumni.stanford.edu