Engineering Scalable Systems & AI Experiences.
I am a Software Engineer based in the San Francisco Bay Area (Mountain View, CA), currently working at Google on the Search team focused on AI Mode. I build high-throughput backend services, resilient distributed architectures, and interactive, accessible web applications.
Prior to joining Google, I spent nearly three years at Kayak (Boston, MA) engineering direct airline integration pipelines in Java. My work powered real-time flight search, dynamic seat-mapping, ancillaries, luggage calculations, and booking confirmation microservices for major international airlines. I led initiatives in automated testing, observability dashboards in Kibana, and canary releases with GitHub Actions.
During my graduate studies, I interned as a Software Engineer at Amazon in Seattle, WA, where I created “Bug Bash”—an automated validation tool utilizing AWS Lambda, Node.js, and React to verify Amazon’s Choice badges and prevent merchant catalog regressions. I also worked atNokia (Raleigh, NC) developing microservices and at Adobe (Bengaluru, India) building enterprise cloud platforms.
Education
M.S. in Computer Science
Northeastern University
GPA: 3.9 / 4.0 · Advanced algorithms, distributed systems, web development, and cloud computing.
B.E. in Computer Science
KSIT, Visvesvaraya Technological University
Data structures, object-oriented design, operating systems, database management, and networking.
Technical Competencies
Core Languages
Java, Python, JavaScript, TypeScript, SQL, HTML5, CSS3
Backend & Cloud
Spring Boot, Node.js, Express, REST APIs, AWS Lambda, Docker, Kubernetes, Cloudflare
Frontend & Tools
React, Redux, Astro, Tailwind CSS, Elasticsearch, Kibana, JUnit, Jest, Git