I have nearly three years of professional experience building scalable, user-focused web applications with React, TypeScript, Redux, and modern UI frameworks. At Technoperia, I worked on Aduvi, an enterprise white-label CRM platform used by 2000+ clients across multiple industries. My work focused on reusable front-end components, efficient state management, responsive interfaces, and consistent performance across devices.
In my current role, I work with Blazor, .NET, C#, and JavaScript on View ECG, an AI-powered healthcare platform that connects doctors and patients through cloud-based ECG monitoring. I contribute to interactive clinical interfaces, complex state flows, real-time device data handling, and tools that support ECG analysis, beat classification, and clinician workflows.
Alongside my front-end experience, I use Next.js, Tailwind CSS, Ant Design, Node.js, and Express to build maintainable, performance-focused applications across different product environments.
I am also actively building my AI engineering skills with Python, FastAPI, vector databases, RAG workflows, embeddings, and LLM integrations. My live AI Support Copilot project applies these concepts in a real support-agent workflow, including knowledge-base ingestion, ticket classification, cited response generation, and human-in-the-loop review.