Hi, I'm Murali Varma

As Senior Staff Full Stack Engineer at Galileo Financial Technologies (SoFi), I led an enterprise-wide initiative to modernize web architecture and standardize UX development across the organization. The goal was to unify disparate technologies and deliver a consistent user experience across all Galileo web applications, improving scalability and maintainability for multiple engineering teams. **Key Responsibilities:** - Architected and developed an enterprise-grade React component library (25+ production-ready components) - Established comprehensive testing frameworks achieving WCAG 2.1 accessibility compliance - Implemented automated visual regression and integration testing, reducing QA cycles - Spearheaded cross-squad collaboration, reducing design-to-development handoff time by 50% - Mentored 8 junior/mid-level engineers in component development best practices - Authored technical documentation and guidelines, reducing onboarding time by 70% and support tickets by 45% - Architected automated build pipelines and versioning systems for seamless updates across 3 applications **Impact:** - Modernized 3 major web apps, migrating from PHP/Angular to React/Next.js with 99.99% uptime - Reduced duplicate code by 60% and improved system reliability - Increased deployment frequency from weekly to 5+ daily deployments - Achieved 100% adoption across 3 engineering squads, directly impacting 20+ developers - Reduced onboarding time from 2 weeks to 2 days and code review cycles by 50%

As Senior Staff Full Stack Engineer at Galileo Financial Technologies, I actively contribute to the "Month of AI" initiative, a program dedicated to exploring AI tools to boost developer productivity and satisfaction. My work includes evaluating and establishing best practices for AI tools (notably Cursor IDE), and rapidly delivering production-ready features such as a Next.js "Notes" app using Figma imports and AI-assisted coding. A key highlight is architecting and developing the "Config Assist" AI chatbot PoC, which brings natural language capabilities to the Galileo Console. This solution leverages AWS Bedrock (LLM), a Python Model Context Protocol (MCP) server, and a Next.js Vercel AI SDK frontend to enable users to query, compare, and understand 650+ product configuration parameters using natural language. The PoC demonstrated a 75% reduction in complex query time and an 80% decrease in config promotion errors, with a clear path to production readiness. **Key Responsibilities:** - Led adoption and guideline creation for AI tools (Cursor IDE) used by 10+ developers - Developed a production-ready "Notes" feature in Next.js with AI-assisted workflows - Collaborated with senior management on feedback and success metrics for the initiative - Architected and delivered the "Config Assist" PoC chatbot, integrating AWS Bedrock, FastMCP, and custom embeddings - Designed UI features for summarization and comparison of complex configurations - Outlined expansion and next steps for the PoC, sharing technical knowledge with peers **Impact:** - Reduced development time for new features by 50% using AI-assisted workflows - Improved developer satisfaction and productivity (targeting 15%+ MR throughput increase) - Enabled users to analyze complex configurations in minutes instead of hours - Demonstrated technical leadership in rapidly applying cutting-edge AI and web technologies

I am currently leading a dev team in developing TripIt's new Web Application built from the ground up in VueJS. My initial goal was to create a POC that integrates with TripIt's existing infrastructure of AWS ECS containers and CI/CD pipeline. Next, I deep dived into authentication mechanisms and created RFCs for team input. We decided upon industry best practices and chose cookie based mechanism over OAuth2 to reduce attack vectors. Some of my responsibilities included doing architectural reviews with the threat modeling team, mentoring junior developers and creating onboarding documents. Before getting into the daily feature work, I also setup a comprehensive serializer/deserializer framework to abstract out our legacy API in order to reduce work when we transition to the new API. As we rolled this app out in EU first, I had some significant challenges to overcome before we could launch. In particular, our old web app was only avalable to US, while our mobile app worked in EU and US. A lot of our code was written under the assumption that only mobile would ever work in EU. I needed a way for browser cookies to maintain sessions for EU, which required a good amount of collaboration with other senior engineers. Some of the more interesting features that I worked on in this project include COVID Guidance, account email management, localization and inbox synchronization.