Atlanta, Georgia, United States
I’m a computer science student at Georgia Tech interested in building software that sits at the intersection of backend systems, real-world problem solving, and security. I have experience working across software engineering and customer-facing technical roles, where I’ve helped build and improve systems, work with APIs and integrations, and contribute to solving practical, sometimes messy problems. I enjoy situations where I can both write code and think through how that code actually gets used in real environments. Technically, I’ve worked with Python, Java, SQL, C/C++, and JavaScript, along with REST APIs and Docker-based environments. I’m especially interested in backend development, systems work, and anything that requires debugging, optimization, or building from scratch. Right now, I’m exploring forward deployed engineering and customer engineering roles, especially within cybersecurity companies where software engineering meets real-world deployment. I’m drawn to working directly with customers to deploy, integrate, and troubleshoot security products, using code to solve practical issues and improve how systems operate in real environments. Always open to learning, building, and connecting with people working on interesting technical problems. Happy to connect!
Built and shipped production LLM-powered agentic systems using the Anthropic Claude SDK, including response caching via custom MCP tools and automated report generation Designed a criteria-based eval framework for systematically measuring and improving LLM output quality across AI workflows Built frontend testing infrastructure from scratch: integrated Chromatic visual regression testing into CI, added Storybook scene coverage, and established code coverage baselines across web and mobile Extracted shared UI components into a cross-platform library consumed by web and mobile; identified and fixed a same-day production bug where Tailwind scanning failed to pick up the new package path Shipped 40+ merged pull requests across Python, React/TypeScript, and GraphQL — spanning AI agent pipelines, frontend features, and codebase-wide quality improvements
Led 1:1 client-facing meetings, explaining software features and customization options, using PowerPoint guides to improve client understanding and decision-making. Reproduced and diagnosed software bugs in a staging environment using Postman, running API tests, and pushing controlled changes to identify root causes. Configured UI customizations by modifying JSON metadata to add new fields and adjust color schemes, aligning with client branding needs. Compiled API call workflows for clients to retrieve data, improving data accessibility and system efficiency. Executed software configuration using Excel and API integrations, ensuring accurate system behavior and data integrity.
Worked on API debugging & software configuration, assisting enterprise clients in customizing supply chain solutions. Led 1:1 client meetings, presenting software features, debugging workflows, and gathering customization requirements. Designed UI customizations using JSON metadata, improving user experience and branding consistency for clients. Diagnosed software bugs by reproducing issues in staging environments, running API tests in Postman, and collaborating with engineers to identify root causes. Developed API workflows, compiled request structures, and automated data retrieval to enhance customer efficiency. Assisted in enterprise software deployments, configuring systems via Excel, SQL, and API integrations to ensure smooth data handling and accurate system behavior.