Currently an Extern @BeReal.
I build human-centered AI products using user research, data, PRDs, and rapid prototyping turning complex problems into impactful products from discovery to launch.
Explore my projects, including my work at BeReal, where I focus on user engagement and product innovation.
Cornell University · May 2026
AdaptAI is an AI-powered adaptive fashion platform designed for people with disabilities. I created it to address the high cost, limited availability, and clinical appearance of adaptive clothing while providing personalized, stylish designs that accommodate users’ mobility and sensory needs.
Cornell University · May 2026
Global Buddy is an AI companion that helps international students navigate a new country. It provides judgment-free guidance on practical challenges such as banking, housing, SSNs, visas, healthcare, and cultural norms through one accessible, 24/7 conversational experience.
I build human-centered AI products using user research, data, PRDs, and rapid prototyping turning complex problems into impactful products from discovery to launch.
I'm a graduate student at Cornell University, pursuing my Master's Degree with a keen interest in product management and UX strategy. Although I have little work experience, my externship with BeReal has ignited my passion for creating authentic user experiences in social media.
Externships
BeReal Product Management Externship
BeReal.
Experience
Product Analyst Intern
Quantera Analytics · January 2026 –June 2026
AI Project Management Intern
Wolf Soft · July 2023 – July 2025
Product Operations Intern
Lipi Data System Ltd · January 2023 – June 2023
AI Product Management Intern
9AI Business Solutions · April 2022 – October 2022
Education
Cornell University
Master of Science in Engineering Management · Class of 2026
Geetanjali Institute of Technical Studies
Bachelors of Technology in Artificial Intelligence · Class of 2025
Skills
Cornell University · May 2026
AdaptAI is an AI-powered adaptive fashion platform designed for people with disabilities. I created it to address the high cost, limited availability, and clinical appearance of adaptive clothing while providing personalized, stylish designs that accommodate users’ mobility and sensory needs.
AdaptAI is an AI-powered adaptive fashion platform designed for people with disabilities. I created it to address the high cost, limited availability, and clinical appearance of adaptive clothing while providing personalized, stylish designs that accommodate users’ mobility and sensory needs.
I led the product from discovery to launch, conducting 10+ user interviews and 30+ brand studies, prioritizing pain points, writing the PRD, and defining success metrics. I designed the experience in Figma and used Python and vision-language models to prototype personalized outfits and adaptive patterns.
AdaptAI supported 100+ Cornell students, reduced projected garment costs by 40%, and produced a supply-chain model projected to increase artisan income by 28–35%. The project demonstrated how accessibility can create meaningful user value and new market opportunities when considered from the beginning.
Cornell University · May 2026
Global Buddy is an AI companion that helps international students navigate a new country. It provides judgment-free guidance on practical challenges such as banking, housing, SSNs, visas, healthcare, and cultural norms through one accessible, 24/7 conversational experience.
Global Buddy is an AI companion that helps international students navigate a new country. It provides judgment-free guidance on practical challenges such as banking, housing, SSNs, visas, healthcare, and cultural norms through one accessible, 24/7 conversational experience.
Drawing on my experience as an international student, I identified recurring logistical and cultural challenges, mapped user needs, prioritized high-frequency questions, and designed the end-to-end product experience. I built an AI companion and cultural guide while intentionally deferring community features until sufficient adoption.
I delivered a working product that provides practical and cultural guidance without waitlists or cost. The project strengthened my ability to translate lived experience into product requirements, prioritize an MVP, and sequence features based on user value rather than feature quantity.
Cornell University · May 2026
Feed2Fit is a personal AI stylist that transforms saved fashion inspiration into personalized outfit recommendations. It bridges the gap between the looks users save on social media and the clothes they actually wear by considering their preferences, style, and existing wardrobe.
Feed2Fit is a personal AI stylist that transforms saved fashion inspiration into personalized outfit recommendations. It bridges the gap between the looks users save on social media and the clothes they actually wear by considering their preferences, style, and existing wardrobe.
I led research, problem framing, feature prioritization, UX design, and product development. I designed and built five core screens, integrated an AI styling assistant, and created a digital closet that helps users organize their wardrobe and receive more relevant outfit recommendations.
I built an end-to-end AI product connecting fashion discovery, wardrobe organization, and personalized styling. The project taught me that AI recommendations become more valuable and trustworthy when they incorporate the user’s existing possessions and real-life constraints.
Geetanjali Institute of Technical Studies · Aug 2024
MindBridge is an AI-powered mental wellness companion for college students. It provides anonymous, 24/7 emotional support, mood tracking, guided coping exercises, and pathways to professional resources while remaining a supportive first step not a replacement for clinical care.
MindBridge is an AI-powered mental wellness companion for college students. It provides anonymous, 24/7 emotional support, mood tracking, guided coping exercises, and pathways to professional resources while remaining a supportive first step not a replacement for clinical care.
I researched students’ barriers to seeking help and designed the complete experience in Figma. I created conversational flows, daily mood tracking, contextual coping exercises, and a safety-focused escalation pathway that introduces professional resources when risk signals appear.
I developed a functional prototype combining an AI companion, mood-pattern visualization, coping exercises, and professional escalation. The project taught me that trust, tone, privacy, and responsible handoffs are more important than feature quantity when designing sensitive AI products.
Geetanjali Institute of Technical Studies · May 2022
Aarambh is an AI-powered women’s safety application designed to detect signs of danger and trigger assistance even when a user cannot manually operate their phone. It combines automatic SOS alerts, threat detection, audio monitoring, location sharing, and safe-route guidance.
Aarambh is an AI-powered women’s safety application designed to detect signs of danger and trigger assistance even when a user cannot manually operate their phone. It combines automatic SOS alerts, threat detection, audio monitoring, location sharing, and safe-route guidance.
Working with four teammates, I researched women’s safety challenges, identified limitations in existing applications, and helped prioritize the MVP. We built an Android prototype using RNNs, CNNs, audio analysis, GPS sharing, geofencing, and an accessible triple-click SOS trigger.
We delivered a working Android prototype and published the research paper “Mobile Application on Women Safety.” The project taught me to prioritize speed, accessibility, privacy, and reliability when designing products for high-risk situations where users may be unable to complete multiple steps.
✅ Verified by Extern · ⏱️ In progress
Discover how product teams at social apps like BeReal design for authenticity while driving user growth. In this externship, you’ll explore what keeps users coming back— benchmarking competitors, analyzing engagement features, and designing your own growth-driven app feature. You’ll learn how to balance product innovation with BeReal’s unique mission of real, unfiltered connection. Perfect for those interested in product management, UX strategy, or social media innovation, this experience gives you a hands-on look at how product teams grow platforms without losing their core values.
The externship examined how social apps design for authentic interaction, benchmarking competitors and analyzing engagement mechanics. Work produced included a user journey map that listed stages, behaviors, and moments of frustration and delight, and a feature concept addressing exploration friction and feed discovery.
I produced a user journey map that identified feature exploration as the primary friction and unlocking the first post/feed as the main moment of delight.
During the BeReal externship I created a user journey map that listed stages, behaviors, and moments of frustration and delight. It identified feature exploration as the biggest friction and first post unlocking the feed as the main delight.
The project reviewed BeReal’s product features, mapped their retention mechanisms, compared AI and manual analyses, and produced consolidated feature tables showing that the daily random notification and 2-minute window drove the strongest habit-forming retention signal.