Hi, I'm Riley Ashston - AWS Software Development Engineer Intern at Amazon Web Services (AWS)
I am a Data Science student at UC Berkeley driven by the challenge of building scalable software. I thrive in high-stakes engineering environments where I can bridge the gap between complex data and code.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Applied data science methodologies to optimize user insights during an internship at Pinterest.
Focuses on developing scalable cloud infrastructure solutions while interning at Amazon Web Services.
Provides perspective on technical transitions and navigating engineering-focused academic programs at UC Berkeley.
🚀 Career trajectory
Foundational Growth
Developed strong work ethic and interpersonal skills through frontline retail service roles.
✦ Operations
✦ Communication
Analytical Transition
Moved into data science at Pinterest to master quantitative analysis and user-focused insights.
✦ Data Science
✦ Quantitative Analysis
Engineering Immersion
Current trajectory focused on software development and large-scale cloud infrastructure at AWS.
✦ Software Engineering
✦ Cloud Systems
💪🏻 Superpowers
Data-Driven Engineering
Bridging data science insights with software architecture
Synthesized large-scale datasets to inform product strategy at Pinterest.
Applying analytical rigor to optimize production-level software performance.
Agile Problem Solving
Navigating technical transitions with speed and curiosity
Adapting quickly from client-facing operations to complex backend engineering.
Leveraging academic research to solve real-time software challenges.
Systems Thinking
Designing solutions that scale across distributed architectures
Focusing on the intersection of data pipelines and infrastructure.
Constructing robust, efficient codebases for high-traffic environments.
I'm excited about
Exploring cutting-edge software development trends within distributed computing communities.
Connecting with peer engineers to exchange insights on full-stack development best practices.
Identifying collaborative opportunities to build and ship open-source technical projects.
I can help with
Sharing experiences navigating competitive internship recruitment in data and engineering roles.
Providing insights on translating academic data science projects into professional use cases.
Offering a fresh, student-perspective on emerging software development tools and methodologies.
I would love your help on
Guidance on optimizing long-term career growth in the competitive cloud engineering landscape.
Advice on navigating complex technical interviews for top-tier software engineering organizations.
Strategies for effectively balancing deep technical learning with high-impact project execution.