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Adeline Adams

@adelineadams

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Senior software engineer specializing in codebase analysis, AI-assisted development, and performance tuning.

United States

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What I'm looking for

I seek high-impact roles working on performance-critical cloud or data systems, leveraging AI-assisted tooling to improve reliability and accelerate development while contributing clear, evidence-based architecture and documentation.

I am a results-driven software engineer with over six years of experience at top-tier tech and fintech organizations, focused on performance-critical systems in cloud, fintech, and data-intensive domains.

My work centers on analyzing complex, production-grade codebases and synthesizing cross-file dependencies to optimize data flow and reduce latency; at AWS I led efforts that yielded a 20% latency reduction for key services.

I integrate AI tools and coding agents (GitHub Copilot, Claude, GPT-4, Replit Agents) into engineering workflows to accelerate development cycles and improve code reasoning, delivering faster prototyping and evidence-based recommendations.

I emphasize clear technical writing, systematic exploration, and intellectual honesty—producing structured reports and documentation that influence team best practices and support high-impact, task-based engagements.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Amazon Web Services

Jan 2021 - Present (5 years)

Led analysis of large-scale production repositories for cloud infrastructure, reducing latency by 20% and accelerating development cycles by 30% through AI-assisted tooling and cross-file synthesis.

Python Go Java Distributed Systems AWS Performance Tuning Observability DevOps

Software Engineer

Capital One

Jan 2019 - Jan 2021 (2 years)

Developed quantitative trading algorithms and data pipelines, reducing execution time by 15% via repository analysis and targeted optimizations while integrating AI tools for rapid prototyping.

Python JavaScript C++Rust Data Pipelines Performance Optimization API Development

Junior Software Engineer

Appian Corporation

Jan 2018 - Jan 2019 (1 year)

Supported development of low-code enterprise applications, adapted Java/Go/TypeScript code across modules, and authored precise architectural documentation to improve team integration.

Java Go TypeScript Technical Documentation Agile Git Copilot

Education

Degrees, certifications, and relevant coursework

Stanford University

Master of Science, Computer Science

Master of Science in Computer Science with a thesis on optimizing data flow in distributed systems using machine learning heuristics; coursework included Advanced Algorithms, Machine Learning, Software Architecture, and Distributed Systems.

University of Virginia

Bachelor of Science, Computer Science

Grade: Cum Laude

Bachelor of Science in Computer Science, graduated Cum Laude with coursework in Programming Languages, Operating Systems, Database Systems, and Computer Networks.