Hello! This is Jeff,
a Software Developer in AI & Cloud Systems.
I have been working on ARCPX, a modular platform where users compose agentic workflows that fit their needs. Before that, I architected enterprise AI systems on AWS — agentic applications, ingestion pipelines, and GraphRAG retrieval — for Monks and Amazon, and contributed to global-scale web platforms including WhatsApp.com at Meta.
Connect on LinkedIn · GitHub (jeff-ong) · GitHub (arcpx-eng) Toronto, ON
Open to
Staff / Principal AI & platform engineering roles
Previously
Selected Work.
ARCPX
ARCPX is a modular agentic platform where users compose agents to fit their workflow — an asynchronous DAG engine, configurable nodes, and a persistent memory layer. As founding engineer, I own the full lifecycle from technical discovery and system design through production deployment on cloud infrastructure.
GraphRAG knowledge systems
Built enterprise agentic applications on AWS with a hybrid retrieval stack — vector search paired with a custom knowledge graph over unstructured data. The architecture improved response accuracy by 20% over vector-only baselines and gave the system a real-time, context-aware knowledge layer suitable for production workloads.
WhatsApp.com migration
Re-engineered Meta's content management infrastructure, spearheading the migration of complex localized datasets from legacy systems. This architectural overhaul established a scalable foundation for global platform development and multi-region deployment across WhatsApp.com and related properties.
Humanoid robot demo
Spearheaded technical development for a humanoid robot featured on stage at AWS re:Invent 2023 — integrating real-time perception, orchestration, and on-device inference into a live demo environment built for a global audience.
Experience.
Principal Software Developer
Monks, Amazon, Meta · Toronto, ON
- 10+ years delivering production software in Python, TypeScript, and modern web stacks across agency, cloud, and platform teams
- Owned AI-driven products end to end — technical discovery, architecture, implementation, launch, and iteration at scale
- Designed and deployed agentic applications on AWS using CDK and CloudFormation, with guardrails, retry logic, and high-availability patterns
- Built data pipelines for structured and unstructured sources, combining vector databases with knowledge-graph and RAG-style retrieval for enterprise use cases
- Raised LLM accuracy 20% and cut latency 20% through context-window tuning, prompt engineering, and hybrid retrieval design
- Facilitated client-facing discovery sessions to shape requirements, evaluate trade-offs, and align engineering roadmaps with business outcomes
- Established TypeScript standards and parallelized CI/CD workflows to improve code quality and deployment throughput across teams
- Shipped global-scale web properties including WhatsApp.com, about.meta.com, and projectaria.com at Meta
Design Consultant
Anomaly · Toronto, ON
- Launched a Telegram mini app with a UI component library for rapid prototyping
Front-End Engineer
MirrorMe3D · Toronto, ON
- Built 3D scan analysis tools for remote medical monitoring using WebGL
Assistant Instructor
Trilogy Education · Toronto, ON
- Tutored students in web development, data structures, and algorithms
Web Developer
Cotton Candy · Toronto, ON
- Developed Shopify themes and won a long-term RFP for e-commerce platform management
UI Developer & Designer
Dig Insights · Toronto, ON
- Designed and shipped data analysis platforms for user sampling and analytics
Front-End Developer
AutoTrader · Toronto, ON
- Developed e-commerce websites and CMS systems
Education.
- Computer Science
- Ryerson (TMU) University, Toronto · 2018
- UI Design
- BrainStation · 2017
- Media Communications
- Humber College · 2014
- Sound Engineering
- Sound and Music Production · 2011
Let's connect.
Open to staff and principal engineering roles — reach out for opportunities, consulting, or a coffee chat in Toronto.