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RAMSEY D'SILVA

Staff-Level Engineering Leader • Platform Architect • CFA

★ Welcome to my corner of the World Wide Web ★ Building cloud-native platforms since the dial-up era ★ $65B+ AUM ★ Kubernetes • GitOps • Python ★ You are visitor #000847 ★

● NOW ONLINE

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> whoami

Staff-level engineering leader with 15+ years designing and scaling cloud-native platforms. Currently lead the architecture and evolution of a Kubernetes-based investment platform supporting $65B+ AUM at Mackenzie Investments — enabling multiple teams to build, deploy, and operate data-intensive applications.

Proven track record of improving developer velocity, standardizing systems through internal platforms and SDKs, and bridging engineering with business-critical workflows. CFA charterholder with deep domain expertise in financial systems.

▓▓ this site is best viewed with an open mind & a 56k modem ▓▓

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> core competencies

LANGUAGES
Python · JavaScript · SQL · C# · C++

PLATFORM / BACKEND
Django · Flask · Airflow · Celery · REST APIs

CLOUD / INFRA
AWS (EKS, RDS, S3, IAM) · Kubernetes · Docker · Terraform/OpenTofu · ArgoCD

DATA SYSTEMS
PostgreSQL · SQL Server · MongoDB · Redis/Valkey · Polars

DEV PLATFORM
CI/CD · SDK design · multi-tenant auth (OIDC/Keycloak)

FINANCE DOMAIN
Portfolio analytics · Risk systems · Bloomberg integration

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Senior Quantitative Investment Analyst — Platform Lead

Mackenzie Investments — Toronto · 2017–Present

Led the design & build of a cloud-native platform supporting $65B+ in assets.
Designed & scaled a Kubernetes (EKS) platform running ~10 internal apps with full GitOps CI/CD (GitHub → CI → ECR → ArgoCD).
Enabled 7 engineers to ship independently via self-service templates, auth, and secrets management.
Built an internal Python SDK for consistent data access, analytics, and business logic.
Replaced fragmented Excel workflows with a unified, API-first app (30+ users, JWT-secured, AI-consumable).
Developed a company-wide portfolio statistics system (FPS) used by 100+ users.
Cut portfolio analytics latency to <20s (Polars, caching, schema management).
Integrated Bloomberg / APIs / SFTP across 115 accounts & 10 indices.
Led hiring & mentorship — managed 8 interns and defined engineering standards.

★ Authored a 2026 New Product Incubation proposal for a tokenized fund (ERC-4626) blending on-chain & cloud infra.

Machine Learning Engineer / Researcher

Ryerson University / Pricinity · 2015–2017

Built production ML systems & data pipelines (Kafka, TensorFlow, scikit-learn).
Delivered full-stack platforms for model training, inference, and user interaction.

Earlier Experience

Vena Solutions · Bombardier Aerospace · Pixel Code · Lush Concepts

Led full-stack development across enterprise & startup environments; managed teams; shipped production systems.

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CFA Charterholder (2024) B.Eng. Aerospace — Ryerson University

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> reach me

✉ ramseydsilva@gmail.com
☎ +1-437-688-8942
🖥 github.com/ramseydsilva

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