Software Lab

01 — Scene

Software Lab

A hub for two major software work areas — systems infrastructure and product engineering — plus experience.

Tracks

Systems Engineering · Business & Product

Contains

Project showcases and experience

Status

Living lab — content expanding over time

02 — Systems

Systems Engineering

Infrastructure, storage, retrieval, runtime, and simulation.

01

AI Artifact Store

A C++20 distributed artifact store for AI/ML workloads, built around content addressing, resumable transfer, replication, and failure recovery.

C++20PostgreSQLBoost.AsioDistributed Storage

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04

QuantForge

A deterministic event-driven backtesting engine with causal signal timing, Decimal portfolio accounting, and a six-workspace research terminal over reproducible synthetic scenarios.

PythonFastAPINext.jsEvent-Driven Simulation

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03 — Product

Business & Product Engineering

User-facing software, AI products, and practical workflows.

03

Local-First Collaborative Workspace

A collaborative editor built on a custom operation-based CRDT, with IndexedDB durability and a two-replica browser lab that demonstrates deterministic convergence under concurrent edits.

ReactTypeScriptCustom CRDTIndexedDB

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Experience

Engineering Experience

Automation, backend validation, and AI product development.

01

QA Automation Intern

Tangam Systems · Software company for casino analytics

Built and maintained end-to-end test automation for a casino analytics platform, validating user-facing workflows and regression behavior with Cypress and Cucumber.

200+

Automated E2E test cases

70+

Product tickets

May 2026 — Aug 2026

  • Created and maintained 200+ automated E2E test cases across 70+ product tickets.
  • Designed and validated 10+ automation scenarios across four major product areas during a focused testing cycle.
CypressJavaScriptCucumberE2E TestingRegression Testing

02

QA Analyst Intern

Propel Holdings · AI-powered fintech company

Used SQL-driven backend testing to validate customer and loan-application data across database, API, UI, and business-rule layers.

100+

QA tickets

Database ↔ API ↔ UI ↔ Business Rules

Sep 2025 — Dec 2025

  • Worked across 100+ QA tickets covering customer data, loan applications, and production financial workflows.
  • Built reusable SQL validation queries to reconcile backend records with API responses, UI output, and business rules.
SQLBackend ValidationAPI TestingData IntegrityFinancial Systems

03

Project Lead

Microsoft × University of Waterloo · Industry–academic AI collaboration

Led a four-person team building an AI-powered investment insights platform for individual investors, using financial profiles, investment goals, and market interests to generate personalized guidance.

4

Team members

Outstanding

Overall performance

May 2024 — Aug 2024

  • Co-developed the AI, backend, and database layers in Python and Azure, supporting investment insights, suggested allocations, and financial-report analysis.
  • Led project planning, team coordination, and final delivery, earning an Outstanding overall performance rating for the work term.
PythonAzure AIAzure SQLBackend EngineeringProject Leadership