I don't just train models; I build production-ready AI products. Currently scaling enterprise automation as a Microsoft Copilot AI Intern.
Final-year B.Tech student in AI & Data Science, I bridge the gap between abstract machine learning research and production-grade enterprise software. My core expertise lies in architecting Generative AI solutions, fine-tuning Large Language Models (LLMs), and developing robust Retrieval-Augmented Generation (RAG) pipelines. I am passionate about transforming complex data into practical, scalable systems that automate critical workflows and deliver measurable business value—managing the entire lifecycle from secure Azure cloud deployments to engineering high-performance FastAPI endpoints.
B.Tech AI & Data Science (Class of 2026)
Inference Latency Reduction via IBM Watson
Accuracy in predictive customer churn modeling
Conversational AI agent that automates HR requests. Built with Copilot Studio, storing data in SharePoint, with approvals routed through MS Teams for a 100% digital audit trail.
Cleaned and engineered financial datasets to extract behavioral trends. Trained a predictive ML model yielding 82% accuracy, presented via an interactive Power BI dashboard.
Custom ML models, RAG pipelines, and LLM integrations tailored to your enterprise data.
Autonomous AI agents and Copilots that automate complex workflows and business processes.
High-performance, scalable web applications equipped with seamless AI backend integrations.
Clean, modern, and intuitive user interfaces designed specifically for complex tech products.
Select a service and send me a message. I'll get back to you shortly.