Dashboards, PRDs, architecture specs, and process blueprints from real engagements.
Analyzed an AI-powered mental health chatbot delivering anonymous, CBT-based emotional support with 24/7 availability and personalized conversation flows.
Designed and architected a multi-tenant SaaS platform that enables marketing agencies to proactively identify campaign risks, automate escalations, monitor team productivity, and improve project delivery through real-time analytics and intelligent risk detection.
Designed and developed a full-scale eCommerce marketplace platform that enables women to buy, sell, and up cycle pre-owned sarees. The platform combines sustainable fashion, circular commerce, seller empowerment, and digital marketplace functionality to create a unique re-commerce ecosystem.
Designed and developed a personal branding website for a Product Management professional specializing in Payments, Billing Platforms, Financial Systems, and Product Strategy. The website was built to establish thought leadership, showcase expertise, improve professional credibility, and generate consulting opportunities.
End-to-end architecture diagram and data-flow specification for an outbound sales automation platform. Covers lead ingestion, AI scoring, CRM sync, and outreach sequencing.
Technical specification and lineage diagram for a 10M-event/day ingestion pipeline. Includes data dictionary, quality rules, freshness SLAs, and a RACI for ongoing ownership.
Structured RACI + communication cadence template used across 8 enterprise AI projects. Includes meeting rhythm, escalation paths, and a stakeholder-influence heat map.
As-Is / To-Be process maps and BPMN diagrams for a 14-day procurement cycle reduced to 3 days. Covers role-based approval routing, SLA monitoring, and audit trail requirements.
Real-time Power BI dashboard built for a hospital network to surface high-risk patient indicators. Combined SQL views from 3 source systems into a single pane of glass with automated alerting.
Full PRD for an AI-powered recommendation engine, including data requirements, acceptance criteria, edge-case register, and model monitoring requirements. Written to bridge product, data science, and engineering teams.
Samples are representative of real deliverable types. Client-identifying information is anonymised or omitted.