I build applied AI and full-stack systems at the edge of cognition and computation. My recent work spans XR/VR interfaces with embedded sensing, RAG systems for scientific workflows, and lightweight local-LLM tooling.
Software & ML Engineer, Dahdaleh Institute for Global Health Research
Sep 2025 โ Present
- Delivering an AI assistant (RAG) for humanitarian water engineering: document ingestion, retrieval evaluation, and guardrails.
- Shipping production-grade pipelines (LangChain, vector search, FastAPI) and MLOps basics (tests, CI, observability).
Researcher (NSERC Award), Computational Neuroscience
May 2025 โ Aug 2025
- Built signal-based deep-learning models for BCI datasets, including preprocessing, augmentation, and cross-subject evaluation.
- Produced reproducible notebooks and benchmarks for EEG/EMG tasks.
Cybersecurity Engineer, 8 Limbs Consultancy
Feb 2025 โ Present
- Implemented secure auth, scanning workflows, and threat-modeling for client web stacks (Django/Node).
- Hardened infra with IaC, scanning gates in CI, and automated dependency checks.
Student Researcher, York University (Visuomotor Neuroscience Lab)
Sep 2024 โ Present
- Analysis pipelines in Python/MATLAB for sensorimotor experiments; visualization and experiment automation.
SWE & ML Engineer, Defence Research and Development Canada (DRDC)
May 2023 โ Sep 2024
- Built XR/VR prototypes with embedded sensors and spatial data pipelines.
- Fine-tuned transformers (LLaMA, GPT-2) with PyTorch/TensorFlow; delivered analytics dashboards for R&D teams.
- Email: [email protected]
- LinkedIn: https://www.linkedin.com/in/ali-r-652a79170
- Site: https://rezaei.agency
Recognition: Lassonde Co-op Student of the Year 2023, National Neuroscience Olympiad Gold Medalist.
Awarded National Neuroscience Olympiad Gold Medallist and Lassonde Co-op Student of the Year! ๐