Data Scientist (Remote) - Toronto Western Hospital - Toronto, ON
(2023-01)
- LLM & RAG systems: designed and deployed PolicyPal AI, a retrieval-augmented generation assistant for policy Q&A, and CARE-Concussion, a multi-agent LLM framework supporting concussion-care decision workflows — evaluating retrieval quality with RAGAS and iterating on prompt/agent design based on failure-mode analysis.
- Clinical NLP: built a clinical Named Entity Recognition pipeline (seqeval-evaluated) to extract structured entities from unstructured patient PDFs, turning previously unusable free-text records into structured fields for downstream analytics.
- Computer vision / medical imaging: led ML/AI analyses across the ONDRI multi-site neurodegenerative disease cohort, integrating MRI-derived imaging features (cortical thickness, volume, free water) with clinical and symptom data using CNN- and U-Net-based feature extraction, feeding into concussion and neurodegeneration risk models.
- Big data / dataset integration: built semantic column-mapping pipelines using sentence-transformer embeddings to harmonize longitudinal, multi-site clinical datasets with inconsistent schemas at scale on GCP/BigQuery — used across the WSIB/WCB return-to-work concussion risk stratification work and the ICES concussion sex-differences population study.
- Rigor & delivery: applied site-aware cross-validation, calibration, and subgroup error analysis; produced clinician-facing dashboards and documented model cards/runbooks for reproducibility and hand-off.
- Governance: established data-handling standards (de-identification, access controls) aligned with Canadian privacy expectations.
Sessional Faculty — Machine Learning & Business Analytics - University Canada West - Vancouver, BC
(2022-01 - 2025-01)
- Teach ML/analytics (Python/Excel/Tableau); mentor student projects end-to-end (EDA → modeling → reporting).
- Emphasize reproducible code, validation, and communication of model behavior to non-technical stakeholders.
ML Consultant — Reinforcement Learning for Cancer Therapy - Tarbiat Modares University - Tehran, Iran (Remote)
(2022-01 - 2023-01)
- Designed RL/optimization pipelines to explore dosing policies coordinating chemo- and immunotherapies; ran simulation studies to compare policies.
- Simulation results showed the combined chemotherapy + anti-angiogenic policy reduced tumor cell counts by ~65% versus either treatment alone, with the RL-tuned MPC reaching up to 90% optimality in constrained scenarios.
Data Scientist (Part-time) - ImiRoad - Victoria, BC
(2021-01 - 2023-01)
- Built data processing/feature pipelines and recommendation components to power product personalization (profile-driven logic and decision trees).
Data Scientist (Part-time) - Teachingate - Saskatoon, SK
(2020-01 - 2023-01)
- Developed NLP-driven models for automated feedback (English writing support); delivered dashboards and reports for stakeholders.
Machine Learning Engineer - University of Saskatchewan - Saskatoon, SK
(2019-01 - 2023-01)
- Computer vision: designed a robust predictive controller and obstacle-detection algorithm for vision-guided robotics, and led perception/control ML deployed in MATLAB, ROS, Simulink, and Python.
- Built end-to-end experimentation pipelines (data capture → training/evaluation → deployment) and performed ablation/tuning studies.
- Improved mobile robot response time by 250% using RNN-based control models.
AI Engineer - Petroleum University of Technology - Ahvaz, Iran
(2015-01 - 2019-01)
- Applied heuristic optimization and ML (e.g., SVM, clustering) to industrial and physical systems; collaborated with domain experts on model validation.
Data Scientist - Khuzestan Cochlear Implant Center - Ahvaz, Iran
(2016-01 - 2018-01)
- Analyzed clinical outcomes, designed studies, and contributed to quantitative/qualitative mixed-methods research.
Data Scientist - Jondishapur University of Medical Sciences - Ahvaz, Iran
(2014-01 - 2016-01)
- Big data / predictive modeling: built deep neural network models on large public-health datasets to forecast mortality and comorbidity risks (HIV, HCV, addiction).
- Designed intervention simulations to support policy decisions in public health.
University Lecturer & Lab Instructor - Petroleum University of Technology - Ahvaz, Iran
(2015-01 - 2019-01)
- Taught programming and engineering labs; supervised student projects in data analysis, control, and optimization.
