Aditya Dalvi

Associate Product Manager at Nxtwave (2025-12 – Present)

Led 0→1 platform development of Launchpad, a problem-solving and learning ecosystem, owning product discovery, roadmap, PRDs, and execution

• Led 0→1 platform development of Launchpad, a problem-solving and learning ecosystem at NxtWave, owning product discovery, roadmap, PRDs, and execution while collaborating with a cross-functional team across engineering, design, content, data
• Improved user activation from 24% to 73% by redesigning onboarding, problem sequencing, and learning loops using behavioral design, funnel analysis, and A/B experimentation across key activation touchpoints
• Embedded AI-powered experiences into the platform, including intelligent problem recommendations, learning-path personalization, and AI-assisted feedback, driving higher engagement, faster time-to-first-success, and improved learner retention
• Drove data-first product decisions using cohort analysis, SQL-based metrics, and experimentation frameworks to optimize engagement, reduce drop-offs, and scale the platform toward daily active usage and habit formation

Product Specialist at Virtusa (Client: Google) (2024-01 – 2025-12)

Drove end-to-end product ownership for Gemini Integrated Assistant (GiA), enhancing AI-powered conversational and habit-driven experiences within the Google Home App

• Drove end-to-end product ownership for Gemini Integrated Assistant (GiA), enhancing AI-powered conversational and habit-driven experiences such as Live Mode, Searchable Home, and Smart Automations within the Google Home App, improving user engagement and retention
• Authored detailed Product Requirement Documents (PRDs), defined feature specifications, and coordinated cross-functional collaboration across engineering, QA, UX, and product teams to ensure seamless integration of capabilities aligned with product vision and user needs
• Designed and optimized Live Mode, enabling natural, continuous conversations with Gemini; leveraged A/B testing and behavioral design principles to increase user engagement and retention across Google devices by ~20%
• Led requirements gathering and data-driven design planning for Searchable Home, enabling event-based summarization from smart home cameras using Natural Language Processing (NLP), with a strong emphasis on user empathy and conversion optimization
• Improved product development and experimentation workflows by integrating SQL-based data validation, cohort analysis, and automated QA pipelines, enabling data-driven decision making, faster releases, and measurable quality improvements
• Championed systematic problem-solving and full product lifecycle management, enabling data-informed decisions and continuous improvement frameworks to deliver high-quality, scalable features in the AI, IoT, and voice assistant space

Product Manager (FinTech & Payments Exposure) - Intern at Map-X (2022-10 – 2023-12)

Delivered user-driven product features with cross-functional teams, increasing active users and engagement through behavioral design and growth experiments

• Delivered user-driven product features with cross-functional teams, increasing active users by 30% and boosting engagement by 25% through behavioral design, funnel optimization, and habit-building growth experiments
• Collaborated on AI-driven personalization initiatives using cohort analysis and predictive insights to strengthen retention loops and enhance financial habit formation for long-term user value
• Defined and owned product roadmap; conducted market research and competitive analysis to refine product-market fit, improving execution efficiency and data accuracy in fund-related operations
• Secured $8.5K in funding; partnered with major blockchain entities to launch new product features and scale the community by 40%, driving adoption through strategic outreach and product evangelism
• Collaborated with merchant partners, developers, and design teams to implement secure transaction flows, enhancing payment user journeys and ensuring seamless API integrations

Bachelor of Technology in Information Technology – MGM Jawaharlal Nehru College of Engineering (2019-08 – 2023-07)