Product Strategy
User problems · Priorities · Value
Software Execution
Enterprise systems · Delivery · Scale
AI Product Work
LLMs · Evaluation · Workflow design
Building products where technology, strategy, and execution meet
Master’s degree in Management from Georgetown University McDonough School of Business and Bachelor of Technology with Honors in Computer Science Engineering from TKM College of Engineering.
Previously worked as a Software Development Engineer at IQVIA, contributing across the full software development lifecycle for enterprise healthcare products, including requirements shaping, feature development, releases, issue resolution, and cross-functional delivery. Alongside technical execution, I partnered with stakeholders to improve workflows, clarify priorities, and help deliver solutions aligned with user needs and business goals.
My background combines software engineering, business training, and applied AI research, with growing depth in product strategy, user experience, and execution. I am focused on Product Management and AI Product Management roles where complex problems can be translated into clear priorities, intuitive experiences, and measurable business impact.
My Projects
Explore the products and concepts I have built across AI, workflow, and user-centered problem solving
Automated Waste Management Platform
A demand-based waste collection platform designed to trigger pickup requests when a locality's waste volume crosses a practical threshold, capture approximate disposal quantity, and assign the nearest available driver for collection. The concept aimed to improve service responsiveness, route efficiency, and operational visibility compared with fixed-schedule collection alone.
Canva AI Preflight Feature Prototype
A pre-approval AI layer for Canva Teams that checks design readiness before human review, catches common consistency and quality issues earlier, applies safe fixes where appropriate, and helps reduce wasted time for both creators and approvers.
CapitalServe DC
An AI-powered volunteering platform built during the Lovable Hackathon organized by Product Tank Washington DC, designed to help people discover relevant volunteer opportunities in Washington DC, sign up easily, connect with organizers, and stay engaged through measurable civic impact.
My Skills
A blend of product thinking, technical execution, and AI-focused problem solving built across software engineering, applied AI, and cross-functional delivery
Product Skills
Technical Skills
Soft Skills
Product Thinking
Frames product problems through user need, business value, and delivery feasibility.
Cross-Functional Collaboration
Moves comfortably between engineering, stakeholders, delivery teams, and business partners.
Structured Problem Solving
Breaks ambiguous opportunities into actionable workflows, decisions, and measurable outcomes.
Technical Depth
Brings hands-on software engineering experience that strengthens prioritization and execution.
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