Abdul Gheiasi

Software Engineer Intern

• Developed and maintained backend services for cloud-native financial applications in Java and Python, contributing to 3+ microservices supporting scalable, high-performance trading infrastructure.
• Improved system reliability and performance by debugging production issues and shipping 5+ new features across a microservices architecture.
• Collaborated with a 6-person cross-functional engineering team using Agile/Scrum methodologies to design, develop, test, and deploy production-ready software via Docker and Kubernetes on Linux.

Tech Stack: Java, Python, Microservices, Docker, Kubernetes, Linux, Agile/Scrum

Software Engineer Intern

• Improved backend reliability and response consistency across government-facing applications by developing and maintaining Java and Spring Boot microservices with RESTful APIs.
• Reduced manual reporting overhead by automating scheduled report generation using AWS Lambda and S3, triggered via cron-based EventBridge rules to deliver structured outputs to stakeholders.

Tech Stack: Java, Spring Boot, RESTful APIs, AWS Lambda, Amazon S3, Amazon EventBridge

AI/ML Engineer Intern

• Developed an outreach automation platform using React and Node.js with automated workflows and real-time analytics pipelines, increasing response rates by 45% and reducing manual engagement effort by 60%.
• Built professional discovery and personalization APIs in Node.js using structured profile data and AI ranking models, increasing successful connections by 35%.

Tech Stack: React, Node.js, TypeScript, PostgreSQL, REST APIs, AI Ranking Models

Software Engineer

• Designed and implemented a high-reliability VCU safety system achieving 99.9% uptime, optimized CAN protocols reducing latency by 40% to sub-5ms, and improved cross-team integration efficiency by 35%.

Tech Stack: Python, Embedded Systems, CAN Protocol, Real-Time Systems

Software Developer

• Improved frontend performance by reducing page load times by 200ms, cut script execution to sub-50ms using automation tooling, and improved user responsiveness and deployment efficiency by 25%.

Tech Stack: HTML, CSS, JavaScript, Python, Git, GitHub

Section Leader – Code in Place

• Led Stanford's CS106A course section, teaching 20 students foundational Python programming.

Tech Stack: Python, Karel