Open to Contract & Full-Time · Toronto & Remote

Dylan Nguyen.

_

Data Scientist & ML/GenAI Engineer with 3 years building 20+ professional dashboards, ETL pipelines, and production AI systems — multi-agent pipelines, RAG architectures, and quantitative trading strategies. Research Assistant at ASCI Lab × Siemens, Trent University.

Scroll
Dylan Nguyen
Dylan Nguyen
Data Scientist · ML/GenAI Engineer
📍 Toronto, ON 🇨🇦

Building AI that
thinks & acts.

Data Scientist & ML/GenAI Engineer with 3 years building 20+ professional dashboards, ETL pipelines, and production AI systems — multi-agent pipelines, RAG architectures, and quantitative trading strategies.

My work sits at the intersection of quantitative finance and industrial AI. Currently a Research Assistant at Trent's ASCI Lab in collaboration with Siemens, developing multi-agent systems for building automation and energy optimization.

I care deeply about systems that don't just predict — they reason over context, adapt to new information, and take meaningful actions.

"Building AI systems that don't just predict —
they reason, adapt, and act."
dylan.py Python 3.12
 1class Dylan:

 3  role = [
 4    "Data Scientist",
 5    "ML/AI/GenAI Engineer",
 6    "Agentic AI Builder",
 7  ]

 9  location  = "Toronto, ON 🇨🇦"

11  education = {
12    "MSc": "Big Data Analytics",
13    "gpa": "95% · Highest Honor",
14    "BEng": "Financial Technology",
15  }

17  currently = "RA @ ASCI Lab × Siemens"

19  focus = [
20    "Multi-Agent AI",
21    "RAG Pipelines",
22    "Production ML",
23    "Quant Trading",
24  ]

26  open_to = "Contract & Full-Time · Data Sci · GenAI · Analytics"

28  def build(self):
29    # systems that reason, adapt, and act
30    return "AI × Finance → Impact"

Featured Work.

Production systems, research projects, and open-source tools.

Multi-Agent Platform Private · Siemens × ASCI Lab

Building Control Assistant

Production-grade AI for occupancy analysis & energy optimization

Flask platform with a Chart.js admin dashboard, real-time SSE pipeline streaming, and a human-in-the-loop confirmation loop. Multi-LLM routing across Claude, GPT-4o, and Ollama/DeepSeek. Self-healing execution agents backed by ChromaDB + FAISS RAG.

Multi-Agent AIRAG Pipeline Multi-LLM RoutingFlask ChromaDBFAISS Self-Healing AgentsHITL SSE Streaming
System architecture diagram System Architecture
Quant Trading System GitHub

Signet Trade

Multi-AI Autonomous Trading Agent — Stocks & Forex

End-to-end autonomous trading system combining TCN-LSTM hybrid signal generation with multi-agent orchestration. Live execution via Oanda API (Forex) and IB Gateway (Stocks). Walk-forward validation, vol-adjusted stop-loss, and drawdown controls.

TCN-LSTMOanda API IB GatewayMulti-Agent Risk ManagementWalk-Forward Portfolio Allocation
Multi-agent architecture diagram Multi-Agent Architecture
Big Data Pipeline Open Source

Real-Time Fraud Detection

Spark + Kafka + LLM Explanations

Scalable scam detection pipeline for phone dialogue transcripts. Spark ML for classification, Kafka for streaming ingestion, LLM-generated natural language explanations per flagged call.

Apache SparkKafka Streaming LLM ExplanationsNLP
Deep Learning · Azure Private

Collision Forecasting System

Azure × Databricks · CNN-LSTM-Transformer

Dual-model forecasting for Toronto traffic collisions under weather conditions. CNN-LSTM-Transformer architecture with SHAP explainability and Power BI dashboard. Deployed on Azure Databricks.

AzureDatabricks CNN-LSTM-TransformerSHAP Power BI
Collision dashboard preview Power BI Dashboard
Full-Stack AI Open Source

RAG Application

React + Flask · LangChain · End-to-End

Full-stack RAG system with a React frontend and Flask backend. LangChain orchestration for document ingestion, chunking, embedding, retrieval, and generation.

LangChainReact FlaskRAG
AI Game Agent Open Source

Mancala AI

DQN + Classical Search · Full-Stack Flask

Web-playable Mancala game with five AI opponents: DQN, Minimax, Alpha-Beta pruning, MCTS, and an advanced heuristic agent.

DQNMinimax Alpha-BetaMCTS Flask
Quantitative Finance Open Source

Canada Quantamental Strategies

ML Factor Models · Canadian Equity Market

ML-driven factor models combined with fundamental signals for the Canadian equity market. Quantamental approach blending systematic signals with macro context.

Factor ModelsXGBoost Canadian EquitiesBacktesting
Web Platform Open Source

Coin98vn

Django · Crypto News Platform

Full-stack crypto news and community platform built with Django. User authentication, dynamic content rendering, and responsive design.

DjangoUser Auth PostgreSQLFinTech

Tools of the Trade.

AI / ML & GenAI
LangChainLlamaIndex RAG PipelinesChromaDB FAISSXGBoost TCN-LSTMTransformers Multi-Agent SystemsHITL
LLM Orchestration
Claude (Anthropic)GPT-4o OllamaDeepSeek Multi-LLM Routing
Data Engineering
Apache SparkApache Kafka Hadoop HDFSApache Hive Airflowdbt Delta LakeZooKeeper
Cloud & MLOps
AzureDatabricks Azure Data FactoryDocker MLflow
Languages & Frameworks
PythonSQL JavaScriptFlask FastAPIReact DjangoPlaywright
Databases & BI
PostgreSQLMongoDB RedisMySQL Power BI

Validated Expertise.

🧱
Databricks
Associate Data Engineer
☁️
Microsoft
Azure Data Engineer
🗃️
SQL
SQL Certified
🐍
Python
Data Science & Visualization
📊
Microsoft
Power BI Certified

Academic Foundation.

MSc Big Data Analytics
Trent University · Peterborough, ON
Research in industrial AI and multi-agent systems at the ASCI Lab in collaboration with Siemens. GPA: 95%.
Highest Distinction
BEng Financial Technology
National Economics University · Hanoi, Vietnam
Intersection of software engineering, data science, and quantitative finance. Focus on algorithmic trading and fintech applications.
High Distinction
Research Assistant
ASCI Lab × Siemens · Trent University
Developing multi-agent AI systems for building automation and energy optimization. Industry collaboration bridging research and production deployment.
Active · Ongoing
Areas of Interest
Research & Practice
Agentic AI systems · FinTech & Quant Trading · Industrial AI · Production ML Engineering · RAG & Knowledge Systems

By the Numbers.

0
Years Experience
0
Major Projects
0
Certifications
0
MSc GPA %
Dylan's GitHub Stats Top Languages

Let's build something
remarkable.

Open to contract & full-time roles in Data Science, Data Engineering, ML/AI/GenAI Engineering, and Analytics Engineering. Toronto & Remote.