Building intelligent systems that solve real operational problems.
My product journey didn't start with wireframes ; it started in the trenches of operations and analytics. At Canadian Tire, Canada, I owned delivery performance for 1,200+ retail stores, turning massive supply chain bottlenecks into automated, data-driven solutions. I learned early on that the best products are built by deeply understanding the operational reality behind the user's pain.
Today, as a Product Analyst and an active participant in the NextLeap PM Fellowship, I try my best to bridge the gap between business strategy and engineering execution. I am deeply passionate about AI product development not as a buzzword, but as a utility. Whether I'm building RAG systems for fintech or scaling analytics with AI agents, my goal is always to ship intelligent, high-impact products that solve real problems.
Manual weekly reporting across scattered data sources created blind spots for product teams. Built a Map-Reduce LLM pipeline that scrapes live data, generates intelligence reports, and dispatches via custom MCP server.
Users lacked accurate, real-time mutual fund Q&A. Designed a production-grade RAG system with nightly automated data ingestion, PII sanitization, and ChromaDB vector embeddings.
An intelligent automated tool to reconcile and match purchase orders effortlessly. Eliminates manual cross-referencing and speeds up procurement cycles.
A comprehensive personal finance application designed to help users track expenses, manage budgets, and build better financial habits.
A prototype-level feature designed to test whether surfacing targeted trust signals at the point of purchase hesitation reduces friction in new categories.
Shipped production-grade GenAI systems end-to-end: RAG pipelines, MCP servers, LLM orchestration
Built Groww AI Ops Automator — Map-Reduce LLM pipeline with anti-hallucination KB-grounded prompting
Deployed RAG Mutual Fund Assistant on Render + Vercel with nightly CI/CD pipeline
Lead root-cause investigations across product, operational, and business performance metrics
Scale analytics capability by building AI agents on Snowflake and Claude-based workflows
Validate and challenge product hypotheses through data-driven analysis for roadmap decisions
Drove 48% increase in product sales and 18% reduction in urgent order delays across 1,200+ stores
Designed real-time node-capacity dashboards cutting emergency order processing latency by 12 min/shift
Shipped end-to-end order workflow optimization reducing daily action item turnaround by 18%
28% improvement in nationwide delivery rates (72% → 92%) through data-driven interventions
Reduced service delays by 40% via proactive monitoring system using DMAIC framework
Engineered automated real-time shipment visibility system integrating CP/CN Rail, P44, and OTM data streams
Implemented quality improvement processes (5S, Andon) to ensure shipment quality standards
Increased operational efficiency through structured merchandise management and reporting
Managed e-commerce operations across Amazon, Flipkart, Myntra, and Snapdeal with 3PL logistics
Created 100+ social media campaigns driving revenue growth and brand visibility for clients
Set KPIs and SOPs as benchmarks to evaluate project effectiveness and budgets
Open to PM and AI PM roles — remote & global opportunities.