I’m a Full Stack Developer with 2 years of experience building scalable web and AI-driven applications. My core stack includes React.js, Node.js, Express, MongoDB, and AWS, and my recent focus has been on Generative AI, RAG-based chatbots, and voice-to-voice agentic systems.
At my current role, I developed a RAG-based chatbot using Node.js, React, OpenAI, and LLaMA 3.0, with vector DB integration for real-time, context-aware responses. I added multilingual support via Sarvam AI and Gemini, enhancing accessibility by 20%. I also built a voice AI agent for pre-sales, which qualified leads and escalated hot ones to Salesforce—boosting conversions by 22% and reducing triage time by 35%.
I improved platform stability at AthletesUntapped.com, fixing auth flows with reCAPTCHA and email verification, raising success rates by 40%. I also built modular frontend components, increasing reusability and speeding up dev cycles. Earlier, I contributed to a real-time messaging app using React, Spring Boot, Firebase, and Redux-Saga, improving performance and achieving 90%+ test coverage.
During my internship at Flipkart, I led internal tooling efforts for inventory and outbound teams, enabling them to handle 40% more load and improving planning accuracy. At Headout, I optimized booking workflows and inventory tracking across BMS and Aeries portals, reducing booking errors by 15% and improving customer support with Zendesk integration.
Outside of work, I’m a UPCST Scholar, SSB Recommended candidate, and Executive Head at Think India, NIT Jalandhar. These roles sharpened my leadership and communication skills, and deepened my drive to build things that matter.
I'm now seeking a backend or full-stack role where I can build AI-powered systems with real-world impact, work in fast-paced teams, and take ownership of end-to-end product development.
Let’s connect and create something impactful!