About me
Hi, I'm Dennis. For the past 9+ years I've been building web apps across Canada, Australia, and Hong Kong, and somewhere along the way I got hooked on what AI can actually do once it lives inside a real product (not just in a demo). These days I work end to end as a Senior Full Stack AI Engineer in React, Next.js, TypeScript, and Node.js, shipping production-grade, AI-powered enterprise SaaS and e-commerce platforms.
The part I genuinely enjoy is the messy middle: taking an LLM from "neat demo" to something reliable enough to put in front of real users. I build RAG pipelines on pgvector and Pinecone, agentic workflows with tool calling on the OpenAI and Anthropic Claude APIs, and real-time AI assistants that stream over WebSockets and SSE, all wired into multi-tenant backends and AWS-native infrastructure with the observability and cost controls to keep them healthy in production. If a project is about shipping AI that people actually trust, that's the kind of work I'll always say yes to. Got something you want to build? I'd love to hear about it.
What i'm doing
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AI & LLM Engineering
Shipping production AI features on OpenAI and Anthropic Claude, RAG pipelines, agentic workflows, and conversational assistants, engineered for reliability and measurable impact.
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Multi-tenant SaaS
Architecting scalable, multi-tenant SaaS platforms on Next.js, tRPC, and Prisma with AI copilots and workflow automation built to scale from first user to enterprise.
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E-commerce & Payments
Building full-stack storefronts and transactional APIs with Stripe and other gateways, idempotent webhooks, semantic search, and performance tuning that turns traffic into revenue.
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Real-time & Cloud Infra
Delivering real-time streaming over WebSockets and SSE, event-driven backends, and AWS-native infrastructure with Docker, CI/CD, and observability that keeps systems healthy in production.
AI Engineering
I embed production-grade AI into every product I build, across healthcare, e-commerce, iGaming, and SaaS. From retrieval-augmented generation pipelines to autonomous LLM agents, my systems are engineered for reliability, rigorous evaluation, and measurable business impact.
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RAG Systems
Retrieval-augmented generation with vector search, semantic chunking, re-ranking, and grounded citations for accurate, hallucination-resistant answers.
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LLM Agents & Orchestration
Multi-step agents with tool calling, function execution, and orchestrated workflows that reason, plan, and act autonomously toward a goal.
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Model Fine-tuning
Domain adaptation through fine-tuning, custom embeddings, and prompt optimization to specialize models for high-precision use cases.
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AI Integration & LLMOps
End-to-end delivery with streaming responses, evaluation harnesses, observability, cost controls, and CI/CD pipelines for AI features.
AI Stack
- OpenAI
- GPT-4o
- Anthropic Claude
- LangChain
- LlamaIndex
- RAG Pipelines
- Agentic Workflows
- Function Calling
- Embeddings
- Structured Outputs
- pgvector
- Pinecone
- Vector Search
- Prompt Engineering
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AI Projects Shipped
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LLM Integrations
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Production Deployments
