Hi, I'm Aiden Mak, a Toronto-based AI & Full-Stack Engineer specializing in AI agents, multi-agent systems, RAG pipelines, and MCP tool orchestration. I enjoy turning ambitious AI ideas into production-ready apps using Python, TypeScript, and cloud-native deployments. I thrive in cross-functional teams, triaging issues, and shipping reliable software with strong testing, CI/CD, and observability. Outside work, I enjoy learning, sharing knowledge, and contributing to open-source projects.

Chin Wei Mak

Hi, I'm Aiden Mak, a Toronto-based AI & Full-Stack Engineer specializing in AI agents, multi-agent systems, RAG pipelines, and MCP tool orchestration. I enjoy turning ambitious AI ideas into production-ready apps using Python, TypeScript, and cloud-native deployments. I thrive in cross-functional teams, triaging issues, and shipping reliable software with strong testing, CI/CD, and observability. Outside work, I enjoy learning, sharing knowledge, and contributing to open-source projects.

Available to hire

Hi, I’m Aiden Mak, a Toronto-based AI & Full-Stack Engineer specializing in AI agents, multi-agent systems, RAG pipelines, and MCP tool orchestration. I enjoy turning ambitious AI ideas into production-ready apps using Python, TypeScript, and cloud-native deployments.

I thrive in cross-functional teams, triaging issues, and shipping reliable software with strong testing, CI/CD, and observability. Outside work, I enjoy learning, sharing knowledge, and contributing to open-source projects.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Founding AI Engineer at DecisionEase
April 1, 2026 - May 1, 2026
Built and deployed a live end-to-end full-stack AI decision-support app — Next.js/React frontend and FastAPI backend. Designed a 6-agent agentic AI system with 4-layer memory and agent-to-agent coordination for next-best-action recommendations; integrated 10 MCP tools across 27 REST routes; delivered 1,600+ unit, integration, and E2E tests with CI/CD.
Creator / AI Engineer at ReviewLensAI
March 1, 2026 - Present
Shipped a guardrailed AI review platform with a 3-worker pipeline, 4 ingestion modes, and citation-grounded RAG over Pinecone. Engineered role-specific prompts and grounding guardrails; built an LLM evaluation framework with golden-set promptfoo evals (6/6) and 168/173 Vitest regression tests across 5 Supabase Edge Functions.
Founding Engineer at The Golden Fork
February 1, 2026 - Present
Shipped a live full-stack ordering platform across customer, kitchen, and manager surfaces with real-time WebSocket updates and Stripe webhooks. Built a RAG-powered menu assistant grounded in OpenAI embeddings and Pinecone.
Founding AI Engineer at HR Intelligence Platform
January 1, 2026 - February 1, 2026
Founded an AI HR platform featuring 8 AI agents, a RAG policy assistant, and a 28-tool MCP layer. Implemented CI/CD and production observability with Prometheus, Grafana, and LangSmith; conducted 1,909 unit, integration, and workflow tests across 101 Python modules.
AI Engineering Intern at Zokforce
January 1, 2026 - Present
Built clinsim, a Python-based simulator that turns de-identified clinical notes into labeled multi-speaker audio to test a medical-scribe STT/ASR pipeline. Researched clinical-note datasets (ACI-Bench, MTS-Dialog) and commercial TTS engines (Azure Speech, ElevenLabs) to design the encounter-audio testing flow. Triaged and documented user-facing issues with senior engineers to improve release reliability.
Independent AI Engineer at Self-Directed Projects
June 1, 2025 - Present
Led end-to-end delivery of 4+ production GenAI applications spanning chatbots, multi-agent workflows, RAG pipelines, MCP tool orchestration, REST APIs, cloud deployment, CI/CD, and automated testing.
Applied AI Developer at Canadian Museum for Human Rights
September 1, 2024 - April 1, 2025
Built an NLP-driven human-rights education app (Gemini LLM API) powering 6 learning modules. Gathered requirements from stakeholders in an Agile team. Engineered a RAG pipeline over 25+ UN/OHCHR documents and cut response latency ~97% (6.8s → 0.2s) via embedding and caching improvements.

Education

Bachelor of Science, Honours Computer Science at University of Manitoba
September 1, 2020 - June 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Software & Internet, Education, Media & Entertainment, Professional Services