Resume
Resume
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Target roles
- Data Scientist
- Machine Learning Engineer
- AI Scientist
- Data Analyst
- Applied AI / Research Engineer
Technical skills
Languages
- Python
- R
- Bash
- Java
- MATLAB
- JavaScript
- SQL
Machine Learning & DL
- PyTorch
- TensorFlow / Keras
- scikit-learn
- Hugging Face Transformers
- CNNs / U-Net / YOLO
- RNNs / LSTMs
Data Science & Analytics
- NumPy / Pandas
- PySpark / Spark
- Statistical modeling
- Hypothesis testing
- ANOVA / PCA
- Matplotlib / ggplot2
Computer Vision & NLP
- OpenCV
- Image segmentation
- Object detection
- Transformers / BERT
- Financial sentiment
- Volumetric imaging
Deployment & Tooling
- Streamlit
- FastAPI
- Docker
- Weights & Biases
- ONNX / TensorRT
- Git / GitHub
- Azure / GCP
- PostgreSQL / MySQL / MongoDB
Education & certification
- Azure Data Scientist Associate — Microsoft, 2025
- Graduate Certificate, Applied AI Solutions — George Brown College, 2025
- Master of Science, Molecular Genetics — University of Toronto, 2024
- Honours Bachelor of Science, Neuroscience — University of Toronto, 2021; Neuroscience specialization and Physics minor
Academic records or transcripts can be provided upon request.
Selected projects
- Gap Junction Connectomics — Built a CNN-based pipeline that segments gap junctions in 3D electron-microscopy volumes and converts them into electrical-connectivity measurements.
- Robotic Vision for Clothing Detection & Segmentation — Built a containerized vision service that streams camera frames from a mobile robot and returns clothing detections or segmentation geometry.
- DTI Cancer Connectomics — Built a diffusion-MRI connectomics pipeline comparing DMN/ECN white-matter structure in 40 pediatric brain-tumor survivors and 36 healthy controls.
- NVDA Daily Price Movement Prediction — Combined RNN, LSTM, and Conv1D market models with a fine-tuned BERT sentiment pipeline to study daily NVDA price direction.