Uttar Pradesh, India
Incoming Master of Engineering Management candidate at Dartmouth College with experience spanning Enterprise Product Operations, Customer Intelligence, and AI-driven SaaS products. At HyperVerge, I worked closely with enterprise customers across BFSI and fintech, identifying workflow friction, adoption challenges, and operational inefficiencies across onboarding and verification systems. By translating customer insights into structured product inputs and collaborating cross-functionally with product and engineering teams, I developed a strong foundation in product thinking, systems design, and execution under scale. Previously, I led the development of a 0→1 smart pet intelligence platform, owning product decisions across user research, feature prioritization, technical constraints, and iterative testing. These experiences reinforced my interest in building products that sit at the intersection of technology, human behavior, and business impact. I am particularly interested in Product management & Strategy, Workflow Intelligence, Human-Centered AI, Enterprise Systems, and the Future of Work. I enjoy solving ambiguous problems, simplifying complex workflows, and building intelligent systems that reduce friction and improve decision-making.
• Identified onboarding and adoption friction across 50+ enterprise and mid-market accounts, translating recurring workflow issues into structured product inputs and engineering priorities. • Synthesized customer behavior patterns, operational signals, and workflow gaps to improve product adoption and enterprise onboarding experiences. • Partnered cross-functionally with product, engineering, and go-to-market teams to define requirements, prioritize initiatives, and improve execution across new customer segments. • Designed product adoption frameworks and success metrics that shifted discussions from relationship health toward measurable product performance indicators. • Managed high-pressure escalations and production incidents, using customer insights to improve workflows, trust, and operational reliability.
• Led development of a 0→1 smart pet intelligence platform, owning product direction from user research through deployment. • Conducted research with 10+ pet owners to identify unmet needs and prioritize features based on behavioral insights and technical feasibility. • Designed activity-tracking logic that adapted across different breeds, movement patterns, and environments through continuous testing and iteration. • Managed the full product lifecycle, balancing user needs, engineering constraints, and business priorities while leading a team of five.
-Built and shipped embedded device prototypes using Raspberry Pi; applied rapid iteration methods to validate technical approaches against user-facing requirements -Explored product-market fit challenges for hardware products—specifically the gap between technical capability and what users actually need
Translated quantum communication research findings into a strategic briefing for senior leadership; findings informed the organization's 3-year R&D infrastructure roadmap
Led Transformer Health Monitoring project end-to-end: defined problem scope, built the business case for real-time alerting, deployed MSP430-based system that reduced unplanned downtime by 32%