Yash
Shah
Software Engineer building distributed systems, cloud infrastructure, and ML pipelines at scale.
About
I'm a Software Engineer pursuing my Master's in Computer Software Engineering at Arizona State University, where I hold a perfect 4.0 GPA.
This past summer, I interned at Amazon in Seattle, working deep inside AWS Lambda's core infrastructure — engineering improvements to the Proactive Spin Up system and reducing fleet load spikes by 60%.
My work lives at the intersection of distributed systems, cloud infrastructure, and machine learning. I think in terms of latency, throughput, and fault tolerance. I've published in IEEE Xplore and shipped production code serving millions of Lambda invocations daily.
Outside of engineering, I follow the stock market closely and enjoy translating raw data into decision-useful insights.
Experience
Where I've worked
Software Development Engineer Intern
- Engineered improvements to AWS Lambda's Proactive Spin Up (PSU) system, reducing Top-of-the-Hour fleet load spikes by 60% and strengthening large-scale reliability.
- Built observability pipelines and CloudWatch dashboards to monitor fleet health across distributed serverless infrastructure.
- Engineered data transformation and model pipelines to optimize flow between system inputs and outputs, improving accuracy and maintainability.
- Debugged production issues in distributed Lambda infrastructure, contributing to on-call readiness and improving reliability across endpoints.
Data Science & Machine Learning Intern
- Built a student feedback analysis platform processing 10K+ submissions, reducing manual review time by 40%.
- Designed and trained Logistic Regression and Decision Tree classifiers with NLP preprocessing, achieving 85%+ sentiment classification accuracy.
- Surfaced top recurring themes per course cohort, enabling curriculum gap identification within hours instead of weeks.
Data Science Intern
- Built an end-to-end diamond price prediction pipeline from EDA through ensemble model training, achieving R² = 0.92 on held-out test data.
- Designed normalized relational schemas in MySQL/PostgreSQL and optimized queries, cutting execution time by 30% and enabling 3× faster ML data ingestion.
Education
Academic background
Projects & Publications
Selected work
Contact
Let's work together
I'm open to full-time software engineering roles, research collaborations, and interesting side projects. Drop me a message.