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Hi, I’m Ali Rezaei, a software engineer and ML/AI practitioner based in Toronto. I enjoy building reliable, scalable AI-enabled systems—ranging from embedded sensor pipelines and on-device inference to RAG-powered information retrieval and research data workflows. I thrive in research-driven environments and like turning complex data into practical tools that stakeholders can act on. In my spare time I explore VR/XR experiments, contribute to open-source AI projects, and continuously expand my skills across software engineering, data science, and cloud/infrastructure workloads.…Hi, I’m Ali Rezaei, a software engineer and ML/AI practitioner based in Toronto. I enjoy building reliable, scalable AI-enabled systems—ranging from embedded sensor pipelines and on-device inference to RAG-powered information retrieval and research data workflows. I thrive in research-driven environments and like turning complex data into practical tools that stakeholders can act on. In my spare time I explore VR/XR experiments, contribute to open-source AI projects, and continuously expand my skills across software engineering, data science, and cloud/infrastructure workloads.

Ali Rezaei

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hi, I’m Ali Rezaei, a software engineer and ML/AI practitioner based in Toronto. I enjoy building reliable, scalable AI-enabled systems—ranging from embedded sensor pipelines and on-device inference to RAG-powered information retrieval and research data workflows. I thrive in research-driven environments and like turning complex data into practical tools that stakeholders can act on. In my spare time I explore VR/XR experiments, contribute to open-source AI projects, and continuously expand my skills across software engineering, data science, and cloud/infrastructure workloads.…Hi, I’m Ali Rezaei, a software engineer and ML/AI practitioner based in Toronto. I enjoy building reliable, scalable AI-enabled systems—ranging from embedded sensor pipelines and on-device inference to RAG-powered information retrieval and research data workflows. I thrive in research-driven environments and like turning complex data into practical tools that stakeholders can act on. In my spare time I explore VR/XR experiments, contribute to open-source AI projects, and continuously expand my skills across software engineering, data science, and cloud/infrastructure workloads.

Available to hire

Hi, I’m Ali Rezaei, a software engineer and ML/AI practitioner based in Toronto. I enjoy building reliable, scalable AI-enabled systems—ranging from embedded sensor pipelines and on-device inference to RAG-powered information retrieval and research data workflows. I thrive in research-driven environments and like turning complex data into practical tools that stakeholders can act on.

In my spare time I explore VR/XR experiments, contribute to open-source AI projects, and continuously expand my skills across software engineering, data science, and cloud/infrastructure workloads.

Skills

Python

C++

Docker

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Work Experience

Software Engineer at Defence Research and Development Canada

May 1, 2023 - August 1, 2024

Embedded and XR Systems: Integrated VR and XR systems with embedded sensors for real-time data collection, producing multi-layered HCI datasets for research workflows. Clean Architecture: Applied clean, modular design and testing practices to improve maintainability, debugging, and collaboration across research teams. Infrastructure as Code: Used Terraform to provision and standardize research infrastructure for reproducible deployment workflows. On-Device LLM Inference: Fine-tuned LLaMA-2, Mixtral, GPT-2, and Phi-2 in PyTorch and TensorFlow; built REST APIs with FastAPI and Flask for CPU-only model deployment, achieving 9.63 tokens/sec with a 4-bit quantized LLaMA-2 13B. RAG Engineering: Developed and optimized LangChain RAG pipelines for Q&A and summarization; managed data ingestion, embedding creation, and vector stores while iterating on prompt strategies with research stakeholders. XR Optimization: Tested and tuned XR systems with contractors and stakeholders, using Python, MATLAB

Cybersecurity Engineer at 8 Limbs Consultancy

January 1, 2025 - Present

Security Monitoring Dashboard: Built a security monitoring dashboard surfacing real-time risk signals across 5–10 services, automating triage for 20–40 alerts/day. Code Auditing: Performed code audits to identify and prioritize 3–5 actionable security issues per review cycle, hardening API workflows. Packet Inspection: Implemented packet inspection workflows to flag anomalous traffic and review 100k events/day to improve incident response speed.

Machine Learning Engineer at Dahdaleh Institute for Global Health Research

September 1, 2025 - Present

RAG AI Engineering: Built and supported RAG pipelines for a United Nations water engineering project, handling data ingestion, embedding creation, prompt testing, and integration with vector databases (Pinecone, FAISS) to improve information retrieval. ETL and Analysis: Developed ETL workflows and Jupyter notebooks for data validation, analysis, and reporting to research stakeholders.