Sep 2024 – Dec 2024 · 3 mos · Gainesville, Florida, United States · Hybrid

• Built a full-stack, AI-powered hospital assistant to accelerate clinical decision-making, enabling doctors and medical staff to access insights faster and with higher reliability.
• Designed and developed backend microservices using Node.js, PostgreSQL, and Linux, integrating LLM-based inference via secure APIs to support intelligent, real-time recommendations.
• Architected scalable service layers for real-time data aggregation and analytics, reducing clinical decision latency by ~30%.
• Implemented a clean, maintainable system architecture with strong separation of concerns, keeping business logic backend-driven while enabling seamless frontend integration.
• Developed a full-stack application using React, MySQL, and RESTful APIs to manage healthcare records, improving system scalability by 200% and reducing data access latency from 2s to 0.5s.
• Containerized services using Docker and Kubernetes, cutting end-to-end latency by 70% (500ms → 150ms) while supporting real-time processing of 1M+ healthcare records per minute.
• Ingested, published, and optimized 10+ billion healthcare records in MongoDB, achieving a 40% improvement in query performance and significantly accelerating critical research and analytics workflows.

Jun 2024 – Dec 2024 · 6 mos · United States · On-site

• As a Full Stack Developer at StorySprout, I contributed to the end-to-end development of an educational web application, enhancing functionality, scalability, and user experience for both students and educators.
• Owned the full development and maintenance of the educational web app, driving all backend, frontend, and feature implementations end-to-end.
• Architected backend systems with token-based authentication, family account payments, and content safety filters, leveraging Firebase for real-time data sync and secure user management, reducing auth errors by ~35%.
• Led frontend design and UX improvements, delivering a responsive, intuitive interface that increased task completion and engagement by ~25%.
• Developed key features including PDF export for stories and an Admin Analytics Dashboard, providing actionable insights into user activity, engagement trends, and platform performance.

Jun 2022 – Dec 2022 · 6 mos

• At Technollence, I built and owned production web applications using React.js and Node.js, delivering end-to-end features across frontend and backend. My work focused on performance optimization, system reliability, and improving internal business workflows.
• I evaluated and optimized both third-party and internal systems through performance testing and architectural improvements, contributing to an estimated 25% increase in operational efficiency and approximately INR 200K in year-over-year revenue impact through improved reliability and customer retention.

Jun 2021 – Aug 2021 · 2 mos

• During my internship at Internity Foundation, I worked on building and improving backend-driven features for internal platforms and partner-facing tools. I developed RESTful APIs using Node.js and worked with relational databases to design clean, scalable data models that supported core application workflows.
• I contributed to performance improvements and feature enhancements across the stack, collaborating closely with senior engineers to refactor legacy components and improve code maintainability. I also worked with cloud-based deployments, version control workflows, and basic CI/CD pipelines, gaining hands-on experience in writing production-quality code, debugging distributed systems, and shipping features in an agile environment.
• This role strengthened my fundamentals in system design, API development, and writing clean, testable code while working on real-world use cases with active users.

May 2019 – May 2021 · 2 yrs

• At Technollence, I built and owned production web applications using React.js and Node.js, delivering end-to-end features across frontend and backend. My work focused on performance optimization, system reliability, and improving internal business workflows.
• I evaluated and optimized both third-party and internal systems through performance testing and architectural improvements, contributing to an estimated 25% increase in operational efficiency and approximately INR 200K in year-over-year revenue impact through improved reliability and customer retention.