My work
Strategic product teardowns, enterprise program leadership, and quantified technical execution
Problem: High user drop-off during onboarding. Strategy: Ran structured customer discovery across 4 B2C AI product lines. Solution: Prototyped functional workflows for a 3B-parameter domain LLM. Impact: Validated Product-Market Fit and delivered data-backed pricing recommendations.
Problem: Manual errors in insurance data and fragmented global HR policies. Strategy: Mapped As-Is/To-Be processes through global discovery sessions. Solution: Integrated IIB and mParivahan APIs into the backend. Impact: Streamlined cross-border HR policy and improved data validation accuracy.
Problem: Delayed hazard response in enterprise hotel management. Strategy: Designed a serverless IoT monitoring architecture. Solution: Built on AWS Lambda and Greengrass. Impact: Achieved 100% API test coverage and cut hazard-incident retrieval latency by 15%.
Problem: Disparate systems and manual monitoring created latency and support overhead at peak volume. Strategy: Centralized system visibility through cross-functional collaboration. Solution: Built an end-to-end Java/Spring Boot health dashboard. Impact: Cut data retrieval latency by 30% and support escalations by 20%.
Problem: Identifying UX friction and market gaps in mature, high-complexity products. Strategy: Applied structured PM teardown frameworks. Solution: Delivered a 23-slide Microsoft Teams breakdown and a Dhan Fintech app teardown. Impact: Demonstrated product sense, UI/UX critique, and market gap analysis.