About Me
Aspiring AI Research Engineer with hands-on experience in Machine Learning, Deep Learning, Large Language Models(LLMs), Natural Language Processing(NLP), Voice AI, and intelligent agent-based systems. Skilled in building and evaluating AI-powered applications through experimentation, model optimization, data-driven analysis, and real-world deployment workflows.
Skills & Technologies
Work Experience
Intern
Worked with Microsoft technologies including Power BI, Power Apps, Power Automate, and SharePoint. Built Canvas and Model-Driven Apps, automated workflows, and developed Agentic AI solutions to enable intelligent task execution and workflow orchestration.
Research Analyst
Conducted in-depth market research and maintained structured datasets. Improved data accuracy and consistency for client deliverables by collecting, cleaning, and validating large datasets.
Projects
Sahaayak – AI Voice-to-Ticket Automation System
Designed and developed an AI-powered voice agent that converts spoken complaints into structured developer-ready support tickets. Integrated Sarvam AI APIs for low-latency Speech-to-Text and Text-to-Speech to enable real-time conversational interaction.
AI-Powered X-Ray Diagnosis System
Trained a CNN model for pneumonia detection from X-ray images and integrated it with a Flask backend and React frontend. Containerized the application using Docker for deployment.
Education
B.Tech
Artificial Intelligence and Data Science