Product, Growth & AI @ Meesho | Working across AI customer support, experimentation, and category growth | IIIT Delhi CS + Economics



New Delhi, Delhi, India
Delhi, India

IIT Delhi







Bachelor of Engineering - BE, Computer Science
Indraprastha Institute of Information Technology, Delhi

AISSCE-2020, Computer Science
Delhi Public School - R. K. Puram
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Product and growth professional at Meesho, working across AI-powered customer support, category growth, and platform experimentation on India's largest social commerce marketplace. I run my own SQL and design my own experiments — decisions backed by data I've dug into myself, not secondhand reports. Recent work spans AI customer support systems, catalog integrity at scale, and category growth across a multi-brand portfolio, consistently ahead of target. Highlights: - National Winner, Smart India Hackathon 2024 - AIR 2, Meesho Dice Challenge (Business Domain) - Top 0.1%, Amazon ML Challenge — 72,000+ participants - Selected, Y Combinator Startup School - Published: IEEE-iSES 2024 Research Demo Showcase A/B Testing | Product Management | LLM Evaluation | Python | Growth Experimentation |
Bengaluru
claude code
claude
gemini
notion
openai
ChatGPT
Senior Associate at Meesho, Jun 2025 - Present · 1 yr 4 mos, Working across AI-powered customer support and category growth on Meesho's Health & Wellness vertical. - Led AI customer support initiatives — evaluated and tested LLM, speech, and telephony vendors to improve escalation handling and customer satisfaction. - Own category growth and brand partnerships across a multi-brand portfolio, consistently ahead of target. - Run product experiments (in-app, push, WhatsApp) using SQL-based analysis to improve engagement. - Identify high-affinity user segments through data analysis to guide targeted experiments.
Product Management Intern at Meesho, Jan 2025 - Jun 2025 · 6 mos, - Diagnosed and resolved a platform-wide catalog integrity issue — used SQL and ML-based matching to identify and remove millions of duplicate listings, protecting a meaningful share of daily order volume. - Built a new product-grouping model in SQL, improving catalog accuracy through attribute-based matching. - Ran experiments on seller-facing tools, scaling the best-performing version to 250,000+ sellers.
AI/ML Intern at Protean eGov Technologies, Jul 2024 - Sep 2024 · 3 mos, New Delhi, Delhi, India, Engaged in a dynamic project at Protean within the eCommerce domain, focusing on enhancing inventory management. Tasked with adapting to fluctuations in demand and ensuring timely updates for effective inventory control. Utilizing skills in Database management, Machine Learning, Python, and Swagger for API documentation. Implementing solutions in Go, Node.js, or Python to optimize inventory operations for the Seller App.
Undergraduate Researcher at Advanced Multicore Systems Lab, IIIT Delhi, Jan 2024 - Dec 2024 · 1 yr, Delhi, India, Undergraduate Researcher & Published Author (IIIT Delhi) Guide: Sujay Deb Developed VariScan for real-time HRV monitoring, achieving 60% accuracy, reducing WiFi transmission errors by 20%, and collaborating with doctors, patients, and researchers for feedback. Published Author: Co-authored 'VariScan: A Continuous HRV Monitor', accepted for IEEE-iSES-2024 (Research Demo Showcase Tech Stack :Arduino IDE,PythonMAX30102, NodeMCUESP8266,IOT
Program Head at The Tale of Humankind, Nov 2023 - Dec 2023 · 2 mos, IIT Delhi, Played a key role in overseeing and contributing to all aspects of the event's operations. Additionally, Mentored and conducted sessions in a week-long residential program, guiding students to cultivate entrepreneurial innovation and problem-solving skills to address critical global challenges.
Bachelor of Engineering - BE, Computer Science, Indraprastha Institute of Information Technology, Delhi
AISSCE-2020, Computer Science, Delhi Public School - R. K. Puram
github: https://github.com/aman21376