Innovating with Code, Engineering with Passion

I am a Full-Stack Developer with around 4 years of experience building production-ready web, mobile, and AI-driven applications. My experience combines full-stack engineering, backend system design, AI integrations, database optimization, cloud-ready development, and team collaboration.

I completed my Bachelor’s in Information Technology from Gujarat Technological University in India, and later moved to the United States to pursue my Master’s in Computer Science at Loyola Marymount University. During my master’s, I also served as a Graduate Student Senator for the Seaver College of Science and Engineering, where I represented student concerns, collaborated with different groups, and strengthened my communication, leadership, and problem-solving skills. I also received 3rd place in the BEST Bootcamp, which gave me experience in business analysis, teamwork, requirement understanding, solution design, and presenting ideas clearly.

I started my career in India with Shiv Infotech, a software services company, where I worked as a Full-Stack Developer for around two years. My work focused on delivering client-based production applications using technologies like React, Angular, Node.js, Python, SQL databases, and MongoDB. I worked on frontend development, backend APIs, database design, performance optimization, and CI/CD pipelines for reliable deployments. I also got the opportunity to lead and mentor a team of JavaScript developers, where I helped with code reviews, debugging, task planning, and improving delivery quality.

Later, during my master’s, I worked on MealMate, an AI-powered meal analysis application. My work involved building components of the React Native mobile app, developing Python backend APIs, integrating OpenAI-based LLM features, and implementing key features like food image capture, barcode scanning, and AI chat-based meal logging. I also worked with computer vision workflows and USDA nutrition datasets to support real-time calorie, ingredient, and nutrient analysis. One of my key contributions was optimizing backend workflows and reducing p95 latency by 40%.

After graduation, I got the opportunity to work with Plaid, where I am working on an AI-powered financial insights portal. My work includes building FastAPI microservices, integrating Claude AI for transaction classification and predictive insights, developing secure React dashboards, and collaborating with cross-functional teams to translate business needs into technical features. I also work on secure REST APIs, authentication, logging, encryption, testing, and production readiness.

Along with my technical skills, I bring strong soft skills such as communication, ownership, adaptability, leadership, collaboration, and problem-solving. I enjoy working with both technical and non-technical teams, understanding business requirements, breaking down complex problems, and delivering solutions that create measurable impact. Overall, my background combines software engineering, AI-driven product development, team leadership, and the ability to take ideas from requirements to reliable production systems.