Hi, I'm Thanishque.

A Power Platform + Azure OpenAI solution for ESG performance management. Built a dynamic questionnaire with sector-specific logic, and developed an AI-powered Report Builder for CDP/SEC filing that cut reporting time by 40%.

Helped organisations identify 3–5 actionable ESG improvements per cycle through automated benchmarking and structured output generation.

A university-hosted platform connecting students with verified home cooks for safe, affordable, and culturally authentic meals. Built to address the gap between overpriced campus dining and untapped local culinary talent.

Designed and developed end-to-end with a modern full-stack architecture — real-time listings, secure payments via Stripe, cook discovery through Google Maps integration, and a scalable backend powered by Supabase.

Designed and implemented an automated site provisioning framework to streamline client project onboarding and eliminate manual SharePoint site setup. Engineered an event-driven flow triggered on project record creation, with governance flags to prevent duplicate site creation.

Automated SharePoint site creation from template, URL generation and sync back to master record, and metadata alignment. Integrated Teams and email notifications for full stakeholder visibility. Consolidated multiple legacy flows into a single unified orchestration pipeline — standardising deployment, reducing errors, and improving onboarding speed.

Architected a multi-layer automation framework managing musician assignments, event coordination, and external collaborator access within Microsoft Teams. Built trigger-based automation tied to a SharePoint Events list, with governance controls via InviteMusicians flags to prevent retrigger loops.

Implemented dynamic musician role matching using OData filters, priority-based role allocation, and conditional escalation when no match is found. Integrated Microsoft Graph API for guest user invitations, Azure AD GUID extraction, and automated private Teams channel membership — eliminating manual event coordination overhead and standardising cross-org collaboration governance.

Designed and implemented structured workflow automation supporting SaskTel's business processes. Built enterprise-grade approval routing logic with conditional branching, SharePoint-integrated tracking, and a structured notification framework.

Optimised flow triggers to reduce unnecessary executions, improving routing reliability and audit traceability. Reduced manual dependency in approval cycles, increased transparency across process stages, and strengthened governance and consistency across business operations.

Contributed to the architecture and automation layer of an external-facing vendor management portal. Integrated Power Pages with Dataverse, Power Automate, and Azure Logic Apps. Implemented environment-based configuration using Site Settings for secure endpoint management and built role-based access logic via Dataverse security role checks.

Developed backend orchestration for vendor data submission, structured approval flows, and data synchronisation to downstream systems. Improved vendor onboarding consistency, strengthened data governance, reduced manual record handling, and enhanced scalability through environment-aware configuration.

Created Spectr, an AI-powered platform designed to help early-stage technical founders reach their first 100 users through better storytelling and social media strategy.

Many great products fail not because the technology isn't strong, but because founders struggle with marketing and early user acquisition. Spectr was built to bridge that gap — giving technical founders the positioning, messaging, and distribution strategy they need to turn a great product into a product people actually find.

The Hunter Hub Solutions Lab provided an opportunity to collaborate with students across faculties — Medicine, Business, Science, and Engineering — to tackle social isolation in Calgary. The result was Community Connect: a social gaming app that centralises all community events across the city and connects users with events that match their interests and app profiles.

Beyond reducing isolation, the app incorporated a local business reward system using vouchers, supporting small businesses while incentivising community participation. The team secured 2nd place in the competition and received additional funding to continue research into the subject.

Built for the Climate Change-Makers Challenge, SnapGreens emerged from deep research into biodiversity preservation strategies and direct mentorship from specialists working on the issue daily. The app takes an incentivised approach — users capture and share geolocated photos of plant species using their mobile devices, earning rewards for their contributions.

The collected data is analysed using machine learning to verify and categorise species. Once a plant's photo count reaches a threshold, contributions are closed to maintain data quality. The refined dataset is then transmitted to universities, giving professors accurate, geographically tagged records of available species — turning everyday users into citizen scientists contributing to real conservation research.

A Java application built to manage the registration, tracking, and data integrity of disaster victims across multiple relief sites. Designed with a focus on data accuracy, structured record management, and operational reliability under high-stress conditions.

Backed by MySQL for persistent storage, the system supports efficient querying and updates across large victim datasets, ensuring relief coordinators have timely, accurate information to direct resources effectively.