Aaryan Dhandsoftware Engineer

An on-demand tow marketplace for Alberta, matching stranded drivers to nearby verified operators at a locked price. I own product direction and build the platform end to end: the driver app, dispatcher dashboard, and the multi-tenant backend behind them.

• RLS

  Designed and shipped multi-tenant tenancy for the roadside-assistance platform: a PostgreSQL schema with Row-Level Security and a zero-downtime migration that moved existing independent drivers into single-provider organizations. Separated platform roles from company roles (owner, dispatcher, manager, driver, internal ops) to close a cross-tenant privilege-escalation path.

• $$

  Integrated Stripe Connect driver payouts end to end: an account.updated onboarding webhook, a weekly scheduled payout run, and a backfill for previously completed jobs, plus driver earnings and vehicle-change requests with insurance-document staging and server-side validation before acceptance.

• ⇄

  Own the high-traffic dispatch microservice serving drivers and customers, built on location services and rate limiting. Implemented organization-aware dispatch offers with expiry, accept and decline flows, and reassignment-safe conflict handling for company jobs.

• React Native
• Expo
• Next.js
• Express / TypeScript
• PostgreSQL + RLS
• Supabase Realtime
• Stripe Connect

Real-time interpretation of biometric signal, shipped inside a live consumer health app, and the serving infrastructure underneath it.

• 57%

  Cut LLM inference latency by re-architecting the Anthropic-powered insight layer into a retrieval-augmented (RAG) pipeline that pulls the prior week of time-series biometric context into the model's window to ground real-time interpretations.

• 0–1

  Built and deployed a semi-supervised multimodal stress model fusing HRV, Apple Health biometrics, chat, and mood check-ins into a calibrated stress score, served in real time in a live Flutter + Firebase iOS app.

• →

  Moved research prototypes into a production analytics product by deploying TensorFlow/PyTorch models behind RESTful APIs and building the data-preprocessing and model-serving infrastructure they run on.

• Anthropic API
• RAG
• PyTorch
• TensorFlow
• Flutter
• Firebase
• REST APIs

A centralized warehouse, the pipelines that fill it, and the dashboards that finally made a utility's cost data legible in real time.

• SQL

  Built the data foundation for downstream ML and predictive analytics, standing up a centralized Microsoft SQL Server warehouse ingesting SAP and OPC data via optimized SQL/Python pipelines with data-quality validation.

• 6×

  Accelerated material quantification by leading a 6-person team to design scalable Python/VBA ETL workflows over 300+ historical project records, laying groundwork for forecasting and machine learning.

• 95%

  Cut manual reporting workload by engineering end-to-end automation across SharePoint, SAP, Excel VBA, and Python for baseline and month-end cost reporting, documented for handoff.

• BI

  Deployed interactive Power BI dashboards wired to live SAP data via custom Python and Power Query pipelines, giving engineering and project leaders real-time cost and inventory visibility.

• SQL Server
• Python
• SAP / OPC
• ETL
• Power BI
• Power Query
• Excel VBA