I'm a Full Stack AI Software Engineer with expertise in Python, Java, and React.js, specializing in building scalable, data-driven applications from concept to cloud deployment. With a Master's degree in Computer Science from the University at Buffalo and over three years of hands-on experience across startup and enterprise environments, I bring end-to-end expertise in full-stack development, AI engineering, cloud architecture, and modern DevOps practices.

I have experience building backend services with Python and Java along with developing frontend interfaces using React and TypeScript, which allows me to approach problems with a clear end-to-end understanding. Currently at Gradient Certification, I'm building multi-agent AI systems and RAG pipelines to automate document review and compliance workflows for enterprise clients. Previously, as a founding engineer at Trulogik, I architected an interactive healthcare claims dashboard from the ground up, designing React and TypeScript UI components powered by Generative AI while building the FastAPI backend deployed on AWS with CI/CD pipelines for reliable, automated delivery. Earlier in my career at NRI FinTech, I built secure APIs using Spring Boot and designed event-driven architectures for real-time financial transaction processing serving millions of users. I rely on object-oriented principles and common design patterns to keep code modular and scalable, and these industry-standard practices are fundamental to engineering excellence at leading tech companies.

I'm actively seeking opportunities in software development roles where I can leverage my expertise in AI engineering, cloud-native architecture, full-stack development, and modern deployment workflows to contribute to innovative, high-impact projects.