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Staff Software Developer & Enterprise Architect
Royal Bank of Canada · Nov 2022 — Present · Toronto, Canada
Building enterprise platforms and standards across architecture automation, observability, cloud infrastructure, and responsible AI.
- Led zero-to-one delivery of the patent-pending Architecture Solution Blueprint platform.
- Architected institution-wide logging infrastructure handling 150 TB/day across 10,000+ systems.
- Defined OpenTelemetry contracts adopted by 20+ engineering teams.
- Led five engineers with hands-on reviews, ADRs, mentoring, and cross-functional delivery.
Blockchain Architect & First Full Stack Engineer
HealthCard · Aug 2021 — Jul 2022 · Remote
Built the acquired startup’s initial product and cloud architecture across frontend, APIs, verification, and deployment.
- Delivered the React/TypeScript client and Node.js/Express API foundation.
- Designed Hyperledger Fabric verification and AWS EKS deployment architecture.
IT Developer / Software Developer Co-op
Canada Revenue Agency · Apr 2022 — Nov 2022 · Ottawa, Canada · Remote
Modernised federal tax-platform interfaces and contributed to accessible digital services used by Canadians.
- Migrated legacy Apache Struts interfaces toward React and TypeScript.
- Improved WCAG compliance and automated code-quality baselines.
Teaching Assistant & Research Assistant
Dalhousie University · Jan 2021 — Aug 2022 · Halifax, Canada
Supported software development, algorithms, and graduate cloud-computing courses while researching call-stack decision algorithms.
Blockchain Developer
CryptoVantage · Jul 2020 — Dec 2020 · Netherlands · Remote
Built on-chain event processing and wallet-risk analysis for anti-money-laundering workflows.
Education
- Enterprise Architecture Certification, University of Toronto — Three-semester program · Completed 2024
- Master of Applied Computer Science, Dalhousie University — GPA 3.9 / 4.0 · 2021–2022
- BE Computer Engineering, Gujarat Technological University — GPA 3.92 / 4.0 · 2016–2020
Engineering scope
- AI systems and agent infrastructure: Retrieval, tool use, evaluation, grounding, guardrails, and auditable workflows for dependable AI systems.
- Distributed systems and platforms: Hands-on design and delivery across scalable services, event-driven workflows, APIs, data contracts, and platform boundaries.
- Observability and infrastructure: High-volume telemetry, cloud platforms, infrastructure as code, distributed tracing, reliability, and production diagnostics.
- Security and governance: Identity, authorization, zero-trust integration, architecture decisions, responsible AI controls, and regulated delivery.