About
MBA–MS ITM Graduate | Associate Product Manager | AI, Voice Systems & Agile Delivery I am an MBA–MS in Information Technology & Management graduate from UT Dallas with a Computer Science background, working at the intersection of product, AI, and business impact. Currently, I am an Associate Product Manager at Revrag.ai, an AI agent startups in the BFSI space. I work hands-on with: • Designing culturally authentic, multilingual voice flows in Indian languages • Training and testing AI voice agents using real production call data • Shaping AI personas that improve trust, engagement, and completion rates This role lets me combine technical depth, product thinking, and user empathy to build AI systems that solve real customer and operational problems. Previously, as a Data Analytics Intern at Kigyan Techno Solutions, I: • Built a Python-based retail sales forecasting module using regression models • Improved forecast accuracy and enabled more data-driven planning decisions My academic experience across Digital Product Management, Systems Analysis, Data Analytics, and AI has given me a strong foundation in product development, project execution, and cross-functional collaboration. Certifications: • Certified Scrum Master (CSM) • Google Project Management Professional • IBM Machine Learning Professional • Dynamic Skills Integrated Program Technical Skills: • Programming: Python, Java, C, C++ • Tools: MySQL, Tableau, Jira • Methodologies: Agile, Scrum, Lean I am passionate about building AI-driven products that feel human, scale responsibly, and deliver measurable business value, especially in high-impact domains like financial services.
Work experience
AI Associate Product Manager at RevRag.AI, Oct 2025 - Present · 1 yr 1 mo, Bangalore Urban
AI Prompt Engineer Intern at RevRag.AI, Aug 2025 - Oct 2025 · 3 mos, Bengaluru
Retail Sales Forecasting at Kigyan School of Datascience, Mar 2021 - Apr 2021 · 2 mos, Bengaluru, Karnataka, India, Analyzed Kigyan's retail artificial intelligence platform and implemented a module to improve retail sales forecasting. Utilized machine learning libraries in Python to predict sales metrics based on historical data stored in Excel spreadsheets.
Education
Master of Business Administration - MBA, Information Technology and Management, The University of Texas at Dallas
Master's degree, Information Technology and Management, The University of Texas at Dallas
