AI Product Strategy
Roadmap & Vision
Stakeholder Leadership
Technical Fluency (AI/ML)
Go-to-Market Strategy
As an AI Product Manager, I bridge the gap between cutting-edge AI technology and real-world business impact. With a strong technical foundation in Generative AI, NLP, and ML, combined with strategic product thinking, I lead cross-functional teams to deliver AI products that users love and businesses value. My approach combines data-driven decision making, customer empathy, and technical depth to drive product success from conception to scale.
Aug'23 – Present | Viasat
May'21 – Aug'23 | 2 yrs 4 mos
Jan'20 – Apr'21 | 1 yr 9 mos
🤝 UMich x Microsoft
🤝 Google x UMich
Jul'20 – Apr'21 | iCatalysts
Sharing perspectives on AI product strategy, innovation, and best practices
Choosing the Right Embedding Strategy
BERT vs GPT: Product Decision Framework
Measuring AI Product Success
From Prototype to Production at Scale
Building Products People Love
Follow my product journey
Led panel discussion on building production-ready agentic AI systems at Data Science Salon
Attended premier cloud and AI conference, networking with 30,000+ technology leaders
Presented strategies for solving enterprise ML challenges at scale to 500+ attendees
Achieved top ranking in UMich pandemic information retrieval challenge
Awarded AI scholarship and recognized for leadership in STEM innovation
Launched 5+ AI products • 40% efficiency gains • $7M+ value delivered • 500+ active users
Product: Conversational AI platform enabling non-technical users to query databases using natural language
Impact: 40% reduction in data analyst workload, 500+ monthly active users
Product: LLM-powered platform for family assistance program with linguistic intelligence
Impact: Served 10,000+ families through Google.org partnership
Product: Generative AI search and recommendation system for UN humanitarian resources
Impact: 60% improvement in content discovery, used by 15+ UN agencies
Product: Deep learning-powered visual similarity search and recommendation system on AWS
Impact: 85% accuracy in visual matching, scalable to millions of images
Product: AI-based breast cancer detection system (Published internationally)
Impact: 92% diagnostic accuracy, contributing to early detection research
Product: Interactive web-based data visualization for health trends analysis
Impact: Enabled data-driven insights for public health initiatives
